Journal articles on the topic 'Collaborative data usage'
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Haguouche, Samira, and Zahi Jarir. "Towards a Secure and Borderless Collaboration between Organizations: An Automated Enforcement Mechanism." Security and Communication Networks 2018 (October 21, 2018): 1–13. http://dx.doi.org/10.1155/2018/1572812.
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During the last decade, organizations have been more and more aware of the benefits of engaging in collaborative activities. To attain a required collaborative objective, they are obligated to share sensitive resources such as data, services, and knowledge. However, sharing sensitive and private resources and exposing them for an external usage may prevent the organizations involved from collaborating. Therefore, this usage requires more preoccupation with security issues. Access control is one of these required security concerns. Several access control models are defined in the literature and this multitude of models creates heterogeneity of access control policies between the collaborating organizations. In this paper, we propose Access Control in Cross-Organizational coLLABoration ACCOLLAB, a solution for automatic mapping between heterogeneous access control policies in cross-organizational collaboration. To carry out this mapping, we suggest a mechanism founded mainly on XACML profiles and on a generic language derivative of XACML we define as Generic-XACML. We also formally prove that the mapping does not affect decision evaluation of policies. Thereby the proposed contribution ACCOLLAB allows each collaborating organization to communicate their access control policies and adopt other’s policies without affecting their existing access control systems.
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Ruijer, Erna, Stephan Grimmelikhuijsen, Jochem van den Berg, and Albert Meijer. "Open data work: understanding open data usage from a practice lens." International Review of Administrative Sciences 86, no. 1 (May 14, 2018): 3–19. http://dx.doi.org/10.1177/0020852317753068.
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During recent years, the amount of data released on platforms by public administrations around the world have exploded. Open government data platforms are aimed at enhancing transparency and participation. Even though the promises of these platforms are high, their full potential has not yet been reached. Scholars have identified technical and quality barriers of open data usage. Although useful, these issues fail to acknowledge that the meaning of open data also depends on the context and people involved. In this study we analyze open data usage from a practice lens – as a social construction that emerges over time in interaction with governments and users in a specific context – to enhance our understanding of the role of context and agency in the development of open data platforms. This study is based on innovative action-based research in which civil servants’ and citizens’ initiatives collaborate to find solutions for public problems using an open data platform. It provides an insider perspective of Open Data Work. The findings show that an absence of a shared cognitive framework for understanding open data and a lack of high-quality datasets can prevent processes of collaborative learning. Our contextual approach stresses the need for open data practices that work on the basis of rich interactions with users rather than government-centric implementations.
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SILVA, CHATHURANI, SANJAY MATHRANI, and NIHAL JAYAMAHA. "THE IMPACT OF ICT USAGE ON COLLABORATIVE PRODUCT INNOVATION PERFORMANCE." International Journal of Innovation Management 20, no. 05 (June 2016): 1640012. http://dx.doi.org/10.1142/s1363919616400120.
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Manufacturers are increasingly adopting collaborative product development (CPD) to achieve competitive advantage through joint synergies in introducing new products. Partners involved in CPD may be external such as suppliers and customers or internal cross-functional teams. As the number of dispersed partners increases, substantial rises in the use of information and communication technology (ICT) are evidenced in firms. Since most ICT implementations cost significantly to firms, uncovering a detailed picture of the effect of ICT usage on CPD performance would be immensely useful. Drawing on the relational resource-based view (RRBV), this study explores ICT impact on CPD performance comprising project performance and collaboration performance. Data collected from 244 collaborative product innovation projects were used. The study reveals positive direct and indirect impact of overall ICT usage on new product quality, commercial success, and time performance, through collaboration performance. The observed impact of three ICT usage aspects (frequency, proficiency, and intensity) and individual ICT types significantly contribute to extant literature while providing useful implications to product development practitioners.
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ANAYA, ANTONIO R., and JESÚS G. BOTICARIO. "A DOMAIN-INDEPENDENT, TRANSFERABLE AND TIMELY ANALYSIS APPROACH TO ASSESS STUDENT COLLABORATION." International Journal on Artificial Intelligence Tools 22, no. 04 (August 2013): 1350020. http://dx.doi.org/10.1142/s0218213013500206.
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Collaborative learning environments require intensive, regular and frequent analysis of the increasing amount of interaction data generated by students to assess that collaborative learning takes place. To support timely assessments that may benefit students and teachers the method of analysis must provide meaningful evaluations while the interactions take place. This research proposes machine learning-based techniques to infer the relationship between student collaboration and some quantitative domain-independent statistical indicators derived from large-scale evaluation analysis of student interactions. This paper (i) compares a set of metrics to identify the most suitable to assess student collaboration, (ii) reports on student evaluations of the metacognitive tools that display collaboration assessments from a new collaborative learning experience and (iii) extends previous findings to clarify modeling and usage issues. The advantages of the approach are: (1) it is based on domain-independent and generally observable features, (2) it provides regular and frequent data mining analysis with minimal teacher or student intervention, thereby supporting metacognition for the learners and corrective actions for the teachers, and (3) it can be easily transferred to other e-learning environments and include transferability features that are intended to facilitate its usage in other collaborative and social learning tools.
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Garrett, Alex, Karla Straker, and Cara Wrigley. "Digital channels for building collaborative consumption communities." Journal of Research in Interactive Marketing 11, no. 2 (June 12, 2017): 160–84. http://dx.doi.org/10.1108/jrim-08-2016-0086.
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Purpose Collaborative consumption firms leverage networked peers, communicating, collaborating and even delivering services to one another through a central marketplace channel. This raises questions as to the nature of this new form of digital channel strategy and deployment from a firm’s perspective. As a first step, this research seeks to help bridge the gap in knowledge by establishing an understanding of the digital channel usage of collaborative consumption firms. Design/methodology/approach A qualitative content analysis of 30 collaborative consumption firms was conducted using multiple data sources and coded into typologies against a predetermined coding scheme. These results were then compared against existing literature on digital channel usage in regards to a wider company usage. Findings This study identifies the digital channel usage and digital channel typology of each of the 30 firms associated within the collaborative consumption domain. The study shows a distinct increase in the use of social and community digital channels between traditional firms and collaborative consumption firms. As a result of this study, a concise definition of a collaborative consumption firm is provided, the digital channel usage of collaborative consumption firms is detailed and insights are provided for each sub-type of collaborative consumption. Research limitations/implications This study contributes to the understanding of the collaborative consumption phenomena, the business model of collaborative consumption firms and digital channels. This study assists in describing the shift from traditional firms to peer-to-peer systems. Finally, a theoretical model is provided that demonstrates the nuance of collaborative consumption channel choice within each subcategory for future researchers to test and reflect upon. Practical implications This study demonstrates how collaborative consumption firms are allowing customers to drive interaction rather than traditional business-to-customer messages. A theoretical model is provided which shows contemporary marketers how to best dictate a digital channel strategy for a collaborative consumption style initiative. Originality/value Contributions include: a definition of what a collaborative consumption firm and its channels pertain to and how to design a collaborative consumption digital channel strategy. This study presents a digital channel comparison between collaborative consumption firms and traditional organisations.
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Mohd Daud, Norzaidi, and Halimi Zakaria. "Impact of antecedent factors on collaborative technologies usage among academic researchers in Malaysian research universities." International Journal of Information and Learning Technology 34, no. 3 (May 6, 2017): 189–209. http://dx.doi.org/10.1108/ijilt-09-2016-0046.
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Purpose The purpose of this paper is to investigate the impact of antecedent factors on collaborative technologies usage among academic researchers in Malaysian research universities. Design/methodology/approach Data analysis was conducted on data collected from 156 academic researchers from five Malaysian research universities. This study employed an extensive quantitative approach of a structural equation modeling method to evaluate the research model and to test the hypotheses. Findings The main findings of this study are that personal innovativeness, task-technology fit, and perceived peer usage are significant predictors of individual usage of collaborative technologies; perceived managerial support and subjective norm were found not to be significant predictors to perceived usefulness and individual usage; and perceived usefulness is a significant mediator to individual usage in that it had fully mediated personal innovativeness whereas partially mediated peer usage. Practical implications The results provide practical insights into how the Malaysian higher education sector and other research organizations of not-for-profit structure could enhance their collaborative technologies usage. Originality/value This research is perhaps the first that concentrates on collaborative technologies usage in Malaysian research universities.
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Li, Patrick, Bob Chen, Evan Rhodes, Jason Slagle, Mhd Wael Alrifai, Daniel France, and You Chen. "Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study." JMIR Medical Informatics 9, no. 9 (September 3, 2021): e28998. http://dx.doi.org/10.2196/28998.
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Background Collaboration is vital within health care institutions, and it allows for the effective use of collective health care worker (HCW) expertise. Human-computer interactions involving electronic health records (EHRs) have become pervasive and act as an avenue for quantifying these collaborations using statistical and network analysis methods. Objective We aimed to measure HCW collaboration and its characteristics by analyzing concurrent EHR usage. Methods By extracting concurrent EHR usage events from audit log data, we defined concurrent sessions. For each HCW, we established a metric called concurrent intensity, which was the proportion of EHR activities in concurrent sessions over all EHR activities. Statistical models were used to test the differences in the concurrent intensity between HCWs. For each patient visit, starting from admission to discharge, we measured concurrent EHR usage across all HCWs, which we called temporal patterns. Again, we applied statistical models to test the differences in temporal patterns of the admission, discharge, and intermediate days of hospital stay between weekdays and weekends. Network analysis was leveraged to measure collaborative relationships among HCWs. We surveyed experts to determine if they could distinguish collaborative relationships between high and low likelihood categories derived from concurrent EHR usage. Clustering was used to aggregate concurrent activities to describe concurrent sessions. We gathered 4 months of EHR audit log data from a large academic medical center’s neonatal intensive care unit (NICU) to validate the effectiveness of our framework. Results There was a significant difference (P<.001) in the concurrent intensity (proportion of concurrent activities: ranging from mean 0.07, 95% CI 0.06-0.08, to mean 0.36, 95% CI 0.18-0.54; proportion of time spent on concurrent activities: ranging from mean 0.32, 95% CI 0.20-0.44, to mean 0.76, 95% CI 0.51-1.00) between the top 13 HCW specialties who had the largest amount of time spent in EHRs. Temporal patterns between weekday and weekend periods were significantly different on admission (number of concurrent intervals per hour: 11.60 vs 0.54; P<.001) and discharge days (4.72 vs 1.54; P<.001), but not during intermediate days of hospital stay. Neonatal nurses, fellows, frontline providers, neonatologists, consultants, respiratory therapists, and ancillary and support staff had collaborative relationships. NICU professionals could distinguish high likelihood collaborative relationships from low ones at significant rates (3.54, 95% CI 3.31-4.37 vs 2.64, 95% CI 2.46-3.29; P<.001). We identified 50 clusters of concurrent activities. Over 87% of concurrent sessions could be described by a single cluster, with the remaining 13% of sessions comprising multiple clusters. Conclusions Leveraging concurrent EHR usage workflow through audit logs to analyze HCW collaboration may improve our understanding of collaborative patient care. HCW collaboration using EHRs could potentially influence the quality of patient care, discharge timeliness, and clinician workload, stress, or burnout.
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Durojaiye, Ashimiyu B., Scott Levin, Matthew Toerper, Hadi Kharrazi, Harold P. Lehmann, and Ayse P. Gurses. "Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data." Journal of the American Medical Informatics Association 26, no. 6 (March 19, 2019): 506–15. http://dx.doi.org/10.1093/jamia/ocy184.
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Abstract Objectives The study sought to identify collaborative electronic health record (EHR) usage patterns for pediatric trauma patients and determine how the usage patterns are related to patient outcomes. Materials and Methods A process mining–based network analysis was applied to EHR metadata and trauma registry data for a cohort of pediatric trauma patients with minor injuries at a Level I pediatric trauma center. The EHR metadata were processed into an event log that was segmented based on gaps in the temporal continuity of events. A usage pattern was constructed for each encounter by creating edges among functional roles that were captured within the same event log segment. These patterns were classified into groups using graph kernel and unsupervised spectral clustering methods. Demographics, clinical and network characteristics, and emergency department (ED) length of stay (LOS) of the groups were compared. Results Three distinct usage patterns that differed by network density were discovered: fully connected (clique), partially connected, and disconnected (isolated). Compared with the fully connected pattern, encounters with the partially connected pattern had an adjusted median ED LOS that was significantly longer (242.6 [95% confidence interval, 236.9–246.0] minutes vs 295.2 [95% confidence, 289.2–297.8] minutes), more frequently seen among day shift and weekday arrivals, and involved otolaryngology, ophthalmology services, and child life specialists. Discussion The clique-like usage pattern was associated with decreased ED LOS for the study cohort, suggesting greater degree of collaboration resulted in shorter stay. Conclusions Further investigation to understand and address causal factors can lead to improvement in multidisciplinary collaboration.
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Bai, Bing, Yushun Fan, Wei Tan, Jia Zhang, Keman Huang, and Jing Bi. "End-to-End Web Service Recommendations by Extending Collaborative Topic Regression." International Journal of Web Services Research 15, no. 1 (January 2018): 89–112. http://dx.doi.org/10.4018/ijwsr.2018010105.
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Mashup has emerged as a lightweight way to compose multiple web services and create value-added compositions. Facing the large amount of services, effective service recommendations are in great need. Service recommendations for mashup queries suffers from a mashup-side cold-start problem, and traditional approaches usually overcome this by first applying topic models to mine topic proportions of services and mashup queries, and then using them for subsequent recommendations. This solution overlooks the fact that usage record can provide a feedback for text extraction. Besides, traditional approaches usually treat all the usage records equally, and overlook the fact that the service usage pattern is evolving. In this article, the authors overcome these issues and propose an end-to-end service recommendation algorithm by extending collaborative topic regression. The result is a generative process to model the whole procedure of service selection; thus, usage can guide the mining of text content, and meanwhile, they give time-aware confidence levels to different historical usages. Experiments on the real-world ProgrammableWeb data set show that the proposed algorithm gains an improvement of 6.3% in terms of mAP@50 and 10.6% in terms of Recall@50 compared with the state-of-the-art methods.
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Jean-Quartier, Claire, Miguel Rey Mazón, Mario Lovrić, and Sarah Stryeck. "Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study." Data 7, no. 2 (January 28, 2022): 20. http://dx.doi.org/10.3390/data7020020.
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Research and development are facilitated by sharing knowledge bases, and the innovation process benefits from collaborative efforts that involve the collective utilization of data. Until now, most companies and organizations have produced and collected various types of data, and stored them in data silos that still have to be integrated with one another in order to enable knowledge creation. For this to happen, both public and private actors must adopt a flexible approach to achieve the necessary transition to break data silos and create collaborative data sharing between data producers and users. In this paper, we investigate several factors influencing cooperative data usage and explore the challenges posed by the participation in cross-organizational data ecosystems by performing an interview study among stakeholders from private and public organizations in the context of the project IDE@S, which aims at fostering the cooperation in data science in the Austrian federal state of Styria. We highlight technological and organizational requirements of data infrastructure, expertise, and practises towards collaborative data usage.
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Toader, Bogdan, François Sprumont, Sébastien Faye, Mioara Popescu, and Francesco Viti. "Usage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals." ISPRS International Journal of Geo-Information 6, no. 3 (February 24, 2017): 62. http://dx.doi.org/10.3390/ijgi6030062.
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Mondal, Anirban, Sanjay Kumar Madria, and Masaru Kitsuregawa. "A Collaborative Replication Approach for Mobile-P2P Networks." International Journal of Handheld Computing Research 1, no. 2 (April 2010): 75–97. http://dx.doi.org/10.4018/jhcr.2010040105.
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This paper proposes CADRE (Collaborative Allocation and De-allocation of Replicas with Efficiency), which is a dynamic replication scheme for improving the typically low data availability in dedicated and cooperative mobile ad-hoc peer-to-peer (M-P2P) networks. In particular, replica allocation and de-allocation are collaboratively performed in tandem to facilitate effective replication. Such collaboration is facilitated by a hybrid super-peer architecture in which some of the mobile hosts act as the ‘gateway nodes’ (GNs) in a given region. GNs facilitate both search and replication. The main contributions of CADRE are as follows. First, it facilitates the prevention of ‘thrashing’ conditions due to its collaborative replica allocation and de-allocation mechanism. Second, it considers the replication of images at different resolutions to optimize the usage of the generally limited memory space of the mobile hosts (MHs). Third, it addresses fair replica allocation across the MHs. Fourth, it facilitates the optimization of the limited energy resources of MHs during replication. The authors’ performance evaluation demonstrates that CADRE is indeed effective in improving data availability in M-P2P networks with significant reduction in query response times and low communication traffic during replication as compared to a recent existing scheme as well as a baseline approach, which does not consider any replication.
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Kavitha, V., Dr P. Shanmugapriya, A. S. Aisshwaryapriya, and M. Harini. "Service based collaborative framework for smart gardening." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 588. http://dx.doi.org/10.14419/ijet.v7i2.33.14841.
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Service oriented architecture (SOA) is being an evolving technology, which allows various applications to talk with each other and share data and services through a provider, mediator and service requestor with a service description. This paper recommends a way for the development of “smart gardening” using web services in combination with internet of things (IoT). This approach helps to develop, deploy, integrate and manage various services through a collaborative framework for the effective maintenance of plant growth. The usage of IoT will help people to use the sophisticated techniques to improve the maintenance. IoT is used for sensing soil moisture and nutrients, controlling water usage for plant growth and determining custom fertilizer. Further, it also aims to maintain the environmental constancy and sustainability.
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LLORÀ, XAVIER, DAVID E. GOLDBERG, YUKIO OHSAWA, NAOHIRO MATSUMURA, YUICHI WASHIDA, HIROSHI TAMURA, MASATAKA YOSHIKAWA, et al. "INNOVATION AND CREATIVITY SUPPORT VIA CHANCE DISCOVERY, GENETIC ALGORITHMS, AND DATA MINING." New Mathematics and Natural Computation 02, no. 01 (March 2006): 85–100. http://dx.doi.org/10.1142/s1793005706000336.
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Creativity protocols and methodologies tend to be time consuming if applied manually. This paper presents how information technologies can support innovation and creativity for collaborative scenario creation and discussion. The fusion of change discovery, genetics algorithms, data mining, and computer-supported collaborative tools provide computational models of innovation and creativity. The proposed technology allows groups of participants in a creative processes to have pervasive access to the analysis of the current scenario in real time. This paper introduces such innovation technologies gathered in the DISCUS project, and summarizes the usage of DISCUS on marketing research workshops.
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Bridge, P., E. Giles, A. Williams, A. Boejen, R. Appleyard, and M. Kirby. "International audit of Virtual Environment for Radiotherapy Training usage." Journal of Radiotherapy in Practice 16, no. 4 (November 14, 2017): 375–82. http://dx.doi.org/10.1017/s146039691700022x.
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AbstractIntroductionThe Virtual Environment for Radiotherapy Training (VERT) is a high-fidelity simulation hardware and software resource that replicates the expensive and high-pressure clinical environment of a radiotherapy treatment machine. The simulation allows students to gain confidence with clinical techniques in a safe and unpressured academic environment before clinical placement. The aim of this study was to establish the current and future role of VERT and explore the potential for collaborative resource development and research.MethodsAn anonymous online survey was made available to all users of the software internationally (n=52). A mixture of fixed and open response questions gathered usage data and user feedback.ResultsThe study had a 90% response rate (n=47). Most participants (78·5%) used the resource 1 day/week or less; around 8,000 hours worldwide. It was clear that most participants used the simulation resource to help student to either gain understanding of concepts and techniques or to gain practice with techniques and practical skills. There was good support for collaborative resource development, deployment and evaluation to help VERT users to fully exploit its range of pedagogical uses.ConclusionsThis audit demonstrated high levels of engagement and enthusiasm for collaborative resource development and ongoing research among the radiotherapy simulation community. Adoption of an international Academic Community of Practice for collaborative simulation resource deployment and support may be of significant value and is worthy of further discussion and consideration.
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Donen, Tsuyoshi, Shingo Otsubo, Ryo Nishide, Ian Piumarta, and Hideyuki Takada. "Network traffic reduction mechanism for collaborative Web activities." International Journal of Web Information Systems 13, no. 2 (June 19, 2017): 106–13. http://dx.doi.org/10.1108/ijwis-12-2016-0075.
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Purpose The purpose of this study is to reduce internet traffic when performing collaborative Web search. Mobile terminals are now in widespread use and people are increasingly using them for collaborative Web search to achieve a common goal. When performing such searches, the authors want to reduce internet traffic as much as possible, for example, to avoid bandwidth throttling that occurs when data usage exceeds a certain quota. Design/methodology/approach To reduce internet traffic, the authors use a proxy system based on the peer cache mechanism. The proxy shares Web content stored on mobile terminals participating in an ad hoc Bluetooth network, focusing on content that is accessed multiple times from different terminals. Evaluation of the proxy’s effectiveness was measured using experiments designed to replicate realistic usage scenarios. Findings Experimental results show that the proxy reduces internet traffic by approximately 20 per cent when four people collaboratively search the Web to find good restaurants for a social event. Originality/value Unlike previous work on co-operative Web proxies, the authors study a form of collaborative Web caching between mobile devices within an ad hoc Bluetooth network created specifically for the purpose of sharing cached content, acting orthogonally to (and independently of) traditional hierarchical Web caching.
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Soulakis, Nicholas D., Matthew B. Carson, Young Ji Lee, Daniel H. Schneider, Connor T. Skeehan, and Denise M. Scholtens. "Visualizing collaborative electronic health record usage for hospitalized patients with heart failure." Journal of the American Medical Informatics Association 22, no. 2 (February 20, 2015): 299–311. http://dx.doi.org/10.1093/jamia/ocu017.
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Abstract Objective To visualize and describe collaborative electronic health record (EHR) usage for hospitalized patients with heart failure. Materials and methods We identified records of patients with heart failure and all associated healthcare provider record usage through queries of the Northwestern Medicine Enterprise Data Warehouse. We constructed a network by equating access and updates of a patient’s EHR to a provider-patient interaction. We then considered shared patient record access as the basis for a second network that we termed the provider collaboration network. We calculated network statistics, the modularity of provider interactions, and provider cliques. Results We identified 548 patient records accessed by 5113 healthcare providers in 2012. The provider collaboration network had 1504 nodes and 83 998 edges. We identified 7 major provider collaboration modules. Average clique size was 87.9 providers. We used a graph database to demonstrate an ad hoc query of our provider-patient network. Discussion Our analysis suggests a large number of healthcare providers across a wide variety of professions access records of patients with heart failure during their hospital stay. This shared record access tends to take place not only in a pairwise manner but also among large groups of providers. Conclusion EHRs encode valuable interactions, implicitly or explicitly, between patients and providers. Network analysis provided strong evidence of multidisciplinary record access of patients with heart failure across teams of 100+ providers. Further investigation may lead to clearer understanding of how record access information can be used to strategically guide care coordination for patients hospitalized for heart failure.
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Chen, Haohui, and Ian D. Bishop. "Collaborative Environmental Knowledge Management." International Journal of E-Planning Research 2, no. 1 (January 2013): 58–81. http://dx.doi.org/10.4018/ijepr.2013010104.
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This article describes the integration of a smartphone, a world viewer and a geodatabase into a collaborative virtual environment (CVE) as a knowledge management platform for use in land management. A spatial interoperability mechanism was designed for integration of these various technologies distributed in different system layers and written in different programming languages. As users may vary in their education backgrounds and understanding of advanced information technologies, the proposed platform employs existing popular spatial technologies to facilitate usage. The platform includes an iPhone™ application, a web portal based on Google Earth™ viewer and a data server, all of which may be deployed in different and distant places, allowing remote collaboration. To evaluate the usability of the platform, a case study was implemented involving a scientist, a farmer and an agricultural consultant working collaboratively, but remotely, within the system to support their farming practices, decision-making and agricultural research. Users found that the efficiency of agricultural knowledge transfer was increased, and the centralized knowledge database would also be helpful for tracking farming history and supporting agricultural research. This represents a new paradigm in agricultural knowledge management, where relationships between the three key parties are bidirectional, in contrast to the traditional knowledge transfer pattern. This paradigm can be readily extended to other environmental management contexts.
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Marwan, Mbarek, Ali Kartit, and Hassan Ouahmane. "A Cloud Based Solution for Collaborative and Secure Sharing of Medical Data." International Journal of Enterprise Information Systems 14, no. 3 (July 2018): 128–45. http://dx.doi.org/10.4018/ijeis.2018070107.
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Healthcare sector is under pressure to reduce costs while delivering high quality of care services. This situation requires that clinical staff, equipment and IT tools to be used more equitably, judiciously and efficiently. In this sense, collaborative systems have the ability to provide opportunities for healthcare organizations to share resources and create a collaborative working environment. The lack of interoperability between dissimilar systems and operating costs are the major obstacle to the implementation of this concept. Fortunately, cloud computing has great potential for addressing interoperability issues and significantly reducing operating costs. Since the laws and regulations prohibit the disclosure of health information, it is necessary to carry out a comprehensive study on security and privacy issues in cloud computing. Based on their analysis of these constraints, the authors propose a simple and efficient method that enables secure collaboration between healthcare institutions. For this reason, they propose Secure Multi-party Computation (SMC) protocols to ensure compliance with data protection legislation. Specifically, the authors use Paillier scheme to protect medical data against unauthorized usage when outsourcing computations to a public cloud. Another useful feature of this algorithm is the possibility to perform arithmetic operations over encrypted data without access to the original data. In fact, the Paillier algorithm is an efficient homomorphic encryption that supports addition operations on ciphertexts. Based on the simulation results, the proposed framework helps healthcare organizations to successfully evaluate a public function directly on encrypted data without revealing their private inputs. Consequently, the proposed collaborative application ensures privacy of medical data while completing a task.
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Zabidi, Norsharina, and Weigang Wang. "The Use of Social Media Platforms as a Collaborative Supporting Tool: A Preliminary Assessment." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 06 (March 30, 2021): 138. http://dx.doi.org/10.3991/ijim.v15i06.20619.
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<p>Presently, social media platforms hold an excellent reputation as the closest subject and most comfortable interaction zone inside the learner's heart which makes it the most influential learning tool. However, the evaluation of the social media platforms usage based on student's choices primarily as their collaborative learning supporting tool is still in the small-scale study. Meanwhile, majority of the studies reported so far, focusing more on the usage of a particular type popular or famous social media platforms (e.g., Facebook, YouTube, Twitter and so on) as the collaborative supporting tool. This paper attempt to assess the use of overall social media platforms based on student choices, notably for supporting their collaborative learning activities. A questionnaire survey used for data collection from two universities in two countries. Findings showed that both of the universities’ students have actively utilised their social media platforms as their collaborative supporting tool with 'four times and more' usage over a week, where it is already part of their daily lives. Another result also revealed the students spent their time using social media platforms at least for an hour' in a week as their collaborative supporting tool. Conclusively, it implies that social media platforms are still relevant enough and play an indispensable part in supporting the learning process mainly, for collaborative activity context.</p>
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Zrenner, Johannes, Frederik Oliver Möller, Christian Jung, Andreas Eitel, and Boris Otto. "Usage control architecture options for data sovereignty in business ecosystems." Journal of Enterprise Information Management 32, no. 3 (June 4, 2019): 477–95. http://dx.doi.org/10.1108/jeim-03-2018-0058.
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Purpose Current business challenges force companies to exchange critical and sensitive data. The data provider pays great attention to the usage of their data and wants to control it by policies. The purpose of this paper is to develop usage control architecture options to enable data sovereignty in business ecosystems. Design/methodology/approach The architecture options are developed following the design science research process. Based on requirements from an automotive use case, the authors develop architecture options. The different architecture options are demonstrated and evaluated based on the case study with practitioners from the automotive industry. Findings This paper introduces different architecture options for implementing usage control (UC). The proposed architecture options represent solutions for UC in business ecosystems. The comparison of the architecture options shows the respective advantages and disadvantages for data provider and data consumer. Research limitations/implications In this work, the authors address only one case stemming from the German automotive sector. Practical implications Technical enforcement of data providers policies instead of relying on trust to support collaborative data exchange between companies. Originality/value This research is among the first to introduce architecture options that provide a technical concept for the implementation of data sovereignty in business ecosystems using UC. Consequently, it supports the decision process for the technical implementation of data sovereignty.
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Mahyar, Narges, Ali Sarvghad, and Melanie Tory. "Note-taking in co-located collaborative visual analytics: Analysis of an observational study." Information Visualization 11, no. 3 (January 18, 2012): 190–204. http://dx.doi.org/10.1177/1473871611433713.
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In an observational study, we noticed that record-keeping plays a critical role in the overall process of collaborative visual data analysis. Record-keeping involves recording material for later use, ranging from data about the visual analysis processes and visualization states to notes and annotations that externalize user insights, findings, and hypotheses. In our study, co-located teams worked on collaborative visual analytics tasks using large interactive wall and tabletop displays. Part of our findings is a collaborative data analysis framework that encompasses record-keeping as one of the main activities. In this paper, our primary focus is on note-taking activity. Based on our observations, we characterize notes according to their content, scope, and usage, and describe how they fit into a process of collaborative data analysis. We then discuss suggestions to improve the design of note-taking functionality for co-located collaborative visual analytics tools.
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Lal, Prerna. "Analyzing the Factors Driving the Usage of Enterprise Social Network." International Journal of Social and Organizational Dynamics in IT 5, no. 2 (July 2016): 15–30. http://dx.doi.org/10.4018/ijsodit.2016070102.
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Connectivity and networking benefits of social media platforms have motivated organizations to deploy similar model in an organizational setting in the form of Enterprise Social Network (ESN) with an objective to increase collaboration among employees. Further, ESN is considered more relevant in today's digital business environment where organizations have to deal with collaboration and communication challenges faced by teams that have members operating from different locations and time zones. Once the ESN is implemented the next challenge for the organization is to ensure the participation of employees and keeping them motivated to use ESN for interacting with their peers. This paper aims to elucidate the factors that influence employees' decision to use ESN in the context of Indian organizations. In this study, a conceptual model is developed on the theoretical grounding of the Unified Theory of Acceptance and Use of Technology theory, Technology-Organization-Environment framework, Social Capital theory and Critical Mass theory. This study proposes that employees' ESN usage behavior is driven by individual factors (i.e. perceived usefulness and perceived enjoyment), organizational factors (i.e. top management support, facilitating conditions, and collaborative norms), as well as social factors (i.e. perception of the critical mass). Data was collected using questionnaire survey method. According to the data analysis of this study, all the six factors were found statistically significant. While, support from top management was identified as the most significant factor that encourages the use of ESN, followed by the perception of critical mass regarding the usage of ESN in an organization.
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Curdt, Constanze, and Dirk Hoffmeister. "Research data management services for a multidisciplinary, collaborative research project." Program: electronic library and information systems 49, no. 4 (September 1, 2015): 494–512. http://dx.doi.org/10.1108/prog-02-2015-0016.
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Purpose – Research data management (RDM) comprises all processes, which ensure that research data are well-organized, documented, stored, backed up, accessible, and reusable. RDM systems form the technical framework. The purpose of this paper is to present the design and implementation of a RDM system for an interdisciplinary, collaborative, long-term research project with focus on Soil-Vegetation-Atmosphere data. Design/methodology/approach – The presented RDM system is based on a three-tier (client-server) architecture. This includes a file-based data storage, a database-based metadata storage, and a self-designed user-friendly web-interface. The system is designed in cooperation with the local computing centre, where it is also hosted. A self-designed interoperable, project-specific metadata schema ensures the accurate documentation of all data. Findings – A RDM system has to be designed and implemented according to requirements of the project participants. General challenges and problems of RDM should be considered. Thus, a close cooperation with the scientists obtains the acceptance and usage of the system. Originality/value – This paper provides evidence that the implementation of a RDM system in the provided and maintained infrastructure of a computing centre offers many advantages. Consequently, the designed system is independent of the project funding. In addition, access and re-use of all involved project data is ensured. A transferability of the presented approach to another interdisciplinary research project was already successful. Furthermore, the designed metadata schema can be expanded according to changing project requirements.
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Malay, Elok Dianike, and Aulia Nataningsih. "Does The Use Of Social Network Service LINE Affect First-Year College Students’ Social Adjustment?" Jurnal Psikologi Sosial 18, no. 1 (February 21, 2020): 30–38. http://dx.doi.org/10.7454/jps.2020.05.
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This study examined the influence of social networking service (SNS) usage, especially LINE, on the first-year college students’ social adjustment in Indonesia. This correlational, non-experimental field study used an electronic questionnaire to measure 120 first-year college students’ social adjustment (using the Social Adjustment subscale of Student Adaptation to College Questionnaire/ SACQ) and data on LINE usage. Linear regression analysis showed that LINE usage affected students’ social adjustment. The number of actual friends in LINE and propensity to use LINE to collaborate with other students positively predicted social adjustment. On the other hand, the number of college friends in LINE did not contribute significantly to their social adjustment. These results give more evidence of the effect of SNS, especially LINE, on the first-year college students’ social adjustment in their campus. However, it is important to realize that SNS would give a beneficial effect if students could develop a real friendship and use it for collaborative activities.
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Charlton, Mary E., Margaret Peggy Adamo, Leon Sun, and Sundeep Deorah. "Bladder cancer collaborative stage variables and their data quality, usage, and clinical implications: A review of SEER data, 2004-2010." Cancer 120 (November 20, 2014): 3815–25. http://dx.doi.org/10.1002/cncr.29047.
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Ebrahim, Nader Ale, Shamsuddin Ahmed, Salwa Hanim Abdul Rashid, M. A. Wazed, and Zahari Taha. "Virtual Collaborative R&D Teams in Malaysia Manufacturing SMEs." Advanced Materials Research 433-440 (January 2012): 1653–59. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1653.
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This paper presents the results of empirical research conducted during March to September 2009. The study focused on the influence of virtual research and development (R&D) teams within Malaysian manufacturing small and medium sized enterprises (SMEs). The specific objective of the study is better understanding of the application of collaborative technologies in business, to find the effective factors to assist SMEs to remain competitive in the future. The paper stresses to find an answer for a question “Is there any relationship between company size, Internet connection facility and virtuality?”. The survey data shows SMEs are now technologically capable of performing the virtual collaborative team, but the infrastructure usage is less. SMEs now have the necessary technology to begin the implementation process of collaboration tools to reduce research and development (R&D) time, costs and increase productivity. So, the manager of R&D should take the potentials of virtual teams into account.
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Sillup, George P., Ronald K. Klimberg, and David P. McSweeney. "Data-Driven Decision Making for New Drugs." International Journal of Business Intelligence Research 1, no. 2 (April 2010): 42–59. http://dx.doi.org/10.4018/jbir.2010040105.
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Two courses, advanced decision-making and pharmaceutical marketing, were combined in a collaborative process to mimic how the pharmaceutical industry determines the potential of new drugs. Integrated student teams worked together to complete semester-long projects and taught each other their respective knowledge areas—marketing and statistics. Real-world data for medical and pharmacy claims payments were “cleaned” and mined by students to analyze usage and cost patterns for anti-hypertensive and anti-hypercholesterolemia drugs currently on the market. Analyses included merging the medical and pharmaceutical data records to derive individual electronic patient records, which were the basis of financial projections for the new drugs. Importantly, the single patient record is congruent with the needs of the stakeholders currently working to reform U.S. healthcare delivery.
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Pisařovic, Ivo, David Procházka, Jaromír Landa, Jan Kolomazník, Karel Zídek, and Lukáš Franěk. "Effective Collaborative Mapping Based on Mobile Devices." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 65, no. 6 (2017): 2067–72. http://dx.doi.org/10.11118/actaun201765062067.
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There are numerous situations when it is utmost important to share efficiently some spatial data among a group of people. Floods can be taken as an obvious example. Many stakeholders including mayor or rescue service workers must have actual information about the conditions in the terrain. And most importantly, all of these can contribute to the information. Among these situations involving the crisis management, we dare to mention especially the inventory process. Traffic signs, road lanes, trees, lights and many other different object must be regularly maintained. Most of the organizations use some kind of geographical information system to keep the information about the maintained property. Our article is focused on development of mobile application that allows to acquire spatial data that are later used in these information systems. Thanks to real-time data synchronization between multiple devices, field workers can cooperate and share data immediately to an operating center or with the other workers. We describe the design of our mobile mapping application, comparison with other existing solutions and problems of real-time synchronization between different devices. Finally, we provide details about application usage in different municipalities.
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Halilaj, Lavdim, Irlán Grangel-González, Gökhan Coskun, Steffen Lohmann, and Sören Auer. "Git4Voc: Collaborative Vocabulary Development Based on Git." International Journal of Semantic Computing 10, no. 02 (June 2016): 167–91. http://dx.doi.org/10.1142/s1793351x16400067.
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Collaborative vocabulary development in the context of data integration is the process of finding consensus between experts with different backgrounds, system understanding and domain knowledge. The complexity of this process increases with the number of people involved, the variety of the systems to be integrated and the dynamics of their domain. In this paper, we advocate that the usage of a powerful version control system is one of the keys to address this problem. Driven by this idea and the success of the version control system Git in the context of software development, we investigate the applicability of Git for collaborative vocabulary development. Even though vocabulary development and software development have much more similarities than differences, there are still important challenges. These need to be considered in the development of a successful versioning and collaboration system for vocabulary development. Therefore, this paper starts by presenting the challenges we are faced with during the collaborative creation of vocabularies and discusses its distinction to software development. Drawing from these findings, we present Git4Voc which comprises guidelines on how Git can be adopted to vocabulary development. Finally, we demonstrate how Git hooks can be implemented to go beyond the plain functionality of Git by realizing vocabulary-specific features like syntactic validation and semantic diffs.
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Lv, Kun, Qing Liang Zeng, and Yan Feng Li. "Ontology-Based Knowledge Modeling for Collaborative Product Development." Key Engineering Materials 455 (December 2010): 662–66. http://dx.doi.org/10.4028/www.scientific.net/kem.455.662.
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The process of Collaborative Product Development (CPD) comprises highly creative and knowledge-intensive tasks that involve extensive information exchange and communication among distributed teams. Traditional information management systems fail to provide adequate capability to support CPD, due to their inflexible data structures and hard-wired usage procedures, as well as their restricted ability to integrate process and product information. An ontology-based method of knowledge management is proposed to support CPD. The key idea hiding in the method is a flexible ontology-based schema with formally defined semantics that enables the capture and reuse of design knowledge. A part of CPD-oriented ontology library represented by UML is displayed.
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Schymura, Maria J., Leon Sun, and Antoinette Percy-Laurry. "Prostate cancer collaborative stage data items-their definitions, quality, usage, and clinical implications: A review of SEER data for 2004-2010." Cancer 120 (November 20, 2014): 3758–70. http://dx.doi.org/10.1002/cncr.29052.
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Ikken, Sonia, Eric Renault, Abdelkamel Tari, and Tahar Kechadi. "Exact and Heuristic Data Workflow Placement Algorithms for Big Data Computing in Cloud Datacenters." Scalable Computing: Practice and Experience 19, no. 3 (September 14, 2018): 223–44. http://dx.doi.org/10.12694/scpe.v19i3.1365.
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Several big data-driven applications are currently carried out in collaboration using distributed infrastructure. These data-driven applications usually deal with experiments at massive scale. Data generated by such experiments are huge and stored at multiple geographic locations for reuse. Workflow systems, composed of jobs using collaborative task-based models, present new dependency and data exchange needs. This gives rise to new issues when selecting distributed data and storage resources so that the execution of applications is on time, and resource usage-cost-efficient. In this paper, we present an efficient data placement approach to improve the performance of workflow processing in distributed data centres. The proposed approach involves two types of data: splittable and unsplittable intermediate data. Moreover, we place intermediate data by considering not only their source location but also their dependencies. The main objective is to minimise the total storage cost, including the effort for transferring, storing, and moving that data according to the applications needs. We first propose an exact algorithm which takes into account the intra-job dependencies, and we show that the optimal fractional intermediate data placement problem is NP-hard. To solve the problem of unsplittable intermediate data placement, we propose a greedy heuristic algorithm based on a network flow optimisation framework. The experimental results show that the performance of our approach is very promising. We also show that even with divergent conditions, the cost ratio of the heuristic approach is close to the optimal solution.
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Wang, Huajin, Melanie Gainey, Patrick Campbell, Sarah Young, and Katie Behrman. "Implementation and assessment of an end-to-end Open Science & Data Collaborations program." F1000Research 11 (May 5, 2022): 501. http://dx.doi.org/10.12688/f1000research.110355.1.
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As research becomes more interdisciplinary, fast-paced, data-intensive, and collaborative, there is an increasing need to share data and other research products in accordance with Open Science principles. In response to this need, we created an Open Science & Data Collaborations (OSDC) program at the Carnegie Mellon University Libraries that provides Open Science tools, training, collaboration opportunities, and community-building events to support Open Research and Open Science adoption. This program presents a unique end-to-end model for Open Science programs because it extends open science support beyond open repositories and open access publishing to the entire research lifecycle. We developed a logic model and a preliminary assessment metrics framework to evaluate the impact of the program activities based on existing data collected through event and workshop registrations and platform usage. The combination of these evaluation instruments has provided initial insight into our service productivity and impact. It will further help to answer more in-depth questions regarding the program impact, launch targeted surveys, and identify priority service areas and interesting Open Science projects.
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Wang, Huajin, Melanie Gainey, Patrick Campbell, Sarah Young, and Katie Behrman. "Implementation and assessment of an end-to-end Open Science & Data Collaborations program." F1000Research 11 (December 5, 2022): 501. http://dx.doi.org/10.12688/f1000research.110355.2.
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As research becomes more interdisciplinary, fast-paced, data-intensive, and collaborative, there is an increasing need to share data and other research products in accordance with Open Science principles. In response to this need, we created an Open Science & Data Collaborations (OSDC) program at the Carnegie Mellon University Libraries that provides Open Science tools, training, collaboration opportunities, and community-building events to support Open Research and Open Science adoption. This program presents a unique end-to-end model for Open Science programs because it extends open science support beyond open repositories and open access publishing to the entire research lifecycle. We developed a logic model and a preliminary assessment metrics framework to evaluate the impact of the program activities based on existing data collected through event and workshop registrations and platform usage. The combination of these evaluation instruments has provided initial insight into our service productivity and impact. It will further help to answer more in-depth questions regarding the program impact, launch targeted surveys, and identify priority service areas and interesting Open Science projects.
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Sula, Gerda, and Anila Sulstarova. "Using Wikis as a Teaching Tool for Novice Teachers – Pedagogical Implications." Journal of Learning for Development 9, no. 2 (July 19, 2022): 163–75. http://dx.doi.org/10.56059/jl4d.v9i2.638.
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The present study reports on research conducted on novice teachers’ use of wikis with their high school students. These teachers had been previously exposed to wikis as a collaborative learning tool during their teaching preparation programme. The aim was to explore whether their experience with wiki usage helped them in their teaching. Participants included fifteen novice teachers in their first year of teaching foreign languages in Albania, who held their teaching partly online during the school year 2020-2021, due to the COVID-19 pandemic. Data collected through in-depth interviews include their own reflections. These reflections indicate that the use of a wiki at the university level helped them feel at ease in using wikis in their online teaching. The study proved the use of wikis to be a feasible means of online collaboration, which facilitated constructing new knowledge for their students. As a result, wikis provide a collaborative medium of technology integration into their teaching.
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Alphy, Anna, and S. Prabakaran. "A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence." Scientific World Journal 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/193631.
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In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage,F1measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations.
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Yang, Zhen Jian, and Ke Wen Xia. "A Recommendation System Framework Based on Web Mining." Applied Mechanics and Materials 151 (January 2012): 576–82. http://dx.doi.org/10.4028/www.scientific.net/amm.151.576.
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Presently recommendation systems have gradually become an important part in E-Commerce, more and more research papers about recommendation systems in E-Commerce appeared in many kinds of conferences and journals. With expanding of E-Commerce it also faces series of challenges. Traditional collaborative filtering recommendation technique is hard to provide recommendation service for unregistered users. To overcome this problem, we suggested a framework of recommendation system based on web mining. It is made up of two parts, offline and online. This method first clustered web usage data, web content data and web structure data respectively, then provided high-quality recommendation services based on mining results. Compared with traditional collaborative filtering techniques, recommendation systems based on web mining are convenient for users because user need not to provide user-rating data explicitly. In end of this paper, accuracy of recommendation system based on web mining was tested and compared with traditional collaborative filtering recommendation system. Testing results showed that, quality of recommendation system based on web mining is better than quality of traditional collaborative filtering recommendation system.
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Wang, Xiaoqin, Y. Şekercioğlu, Tom Drummond, Vincent Frémont, Enrico Natalizio, and Isabelle Fantoni. "Relative Pose Based Redundancy Removal: Collaborative RGB-D Data Transmission in Mobile Visual Sensor Networks." Sensors 18, no. 8 (July 26, 2018): 2430. http://dx.doi.org/10.3390/s18082430.
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In this paper, the Relative Pose based Redundancy Removal (RPRR) scheme is presented, which has been designed for mobile RGB-D sensor networks operating under bandwidth-constrained operational scenarios. The scheme considers a multiview scenario in which pairs of sensors observe the same scene from different viewpoints, and detect the redundant visual and depth information to prevent their transmission leading to a significant improvement in wireless channel usage efficiency and power savings. We envisage applications in which the environment is static, and rapid 3D mapping of an enclosed area of interest is required, such as disaster recovery and support operations after earthquakes or industrial accidents. Experimental results show that wireless channel utilization is improved by 250% and battery consumption is halved when the RPRR scheme is used instead of sending the sensor images independently.
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Kobayashi, Harumi, Tetsuya Yasuda, Hiroshi Igarashi, and Satoshi Suzuki. "Language Use in Joint Action: The Means of Referring Expressions." International Journal of Social Robotics 12, no. 5 (January 13, 2018): 1021–29. http://dx.doi.org/10.1007/s12369-017-0462-3.
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Abstract This study examined how human–human collaboration can be achieved through an exchange of verbal information in exchanging information about the referents in a joint action. Knowing other people’s referential intention is fundamental for joint action. Joint action can be achieved verbally by two types of referring expressions, namely, symbolic and deictic referring expressions. Using corpus data, we extracted nouns as typical symbolic references and demonstratives as typical deictic references. We examined whether the word usage of these terms changed when the robot vehicles controlled by the participants repeatedly performed the same collaborative task. We used a novel virtual space for the task because we wanted to control the common ground shared by the participants. The results of the performance indicate that the task completion became more efficient as the participants repeated the task. The referential word use was reduced in both symbolic and deictic references, and this reduction occurred with a grounding process among the collaborators. The study showed that reduction of referential expressions occurs with the grounding process in human–human collaboration and suggests that appropriate collaborative robot systems must deal with the reduction process of referencing in humans.
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Tarabichi, Yasir, Adam Frees, Steven Honeywell, Courtney Huang, Andrew M. Naidech, Jason H. Moore, and David C. Kaelber. "The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform." ACI Open 05, no. 01 (January 2021): e36-e46. http://dx.doi.org/10.1055/s-0041-1731004.
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Abstract Objective Learning healthcare systems use routinely collected data to generate new evidence that informs future practice. While implementing an electronic health record (EHR) system can facilitate this goal for individual institutions, meaningfully aggregating data from multiple institutions can be more empowering. Cosmos is a cross-institution, single EHR vendor-facilitated data aggregation tool. This work aims to describe the initiative and illustrate its potential utility through several use cases. Methods Cosmos is designed to scale rapidly by leveraging preexisting agreements, clinical health information exchange networks, and data standards. Data are stored centrally as a limited dataset, but the customer facing query tool limits results to prevent patient reidentification. Results In 2 years, Cosmos grew to contain EHR data of more than 60 million patients. We present practical examples illustrating how Cosmos could further efforts in chronic disease surveillance (asthma and obesity), syndromic surveillance (seasonal influenza and the 2019 novel coronavirus), immunization adherence and adverse event reporting (human papilloma virus and measles, mumps, rubella, and varicella vaccination), and health services research (antibiotic usage for upper respiratory infection). Discussion A low barrier of entry for Cosmos allows for the rapid accumulation of multi-institutional and mostly de-duplicated EHR data to power research and quality improvement queries characteristic of learning healthcare systems. Limitations are being vendor-specific, an “all or none” contribution model, and the lack of control over queries run on an institution's healthcare data. Conclusion Cosmos provides a model for within-vendor data standardization and aggregation and a steppingstone for broader intervendor interoperability.
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Chung, Cheng-Yu, Nayif Awad, and I.-Han Hsiao. "Collaborative programming problem-solving in augmented reality: Multimodal analysis of effectiveness and group collaboration." Australasian Journal of Educational Technology 37, no. 5 (December 6, 2021): 17–31. http://dx.doi.org/10.14742/ajet.7059.
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Although numerous studies have demonstrated different ways that augmented reality (AR) can assist students to understand the learning content via contextualised visualisation, less explored is its effect on collaborative problem-solving (CPS) in computer programming. This study aims to investigate how AR affects a CPS in a programming task. We designed a mobile app that could visualise computer programming in AR and non-AR 3D images. The app could involve two participants working together on a programming problem face to face in the same workspace. We conducted a within-subjects experiment to compare their AR experience to the non-AR experience and collected multimodal usage data about the task performance, verbal communication, and user experience. The analysis showed that the participants in the AR experience had higher task performance and more insightful communication than the non-AR. The participants also had positive attitudes toward the use of AR in classroom instructions. In a semi-structured interview, the participants reflected that AR helped them engage in the content and analyse the task easier. Based on this study, we discuss several challenges and implications for future instruction designers. Implications for practice or policy: AR can improve student engagement in a collaborative problem-solving task. AR has the potential to promote and improve group communication in collaborative work. Instruction designers may need to carefully align the characteristics of AR with the task content especially when physical models are rarely used in the learning content.
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Wai, Iris Shuk Han, Sara Sze Yan Ng, Dickson K. W. Chiu, Kevin K. W. Ho, and Patrick Lo. "Exploring undergraduate students’ usage pattern of mobile apps for education." Journal of Librarianship and Information Science 50, no. 1 (August 30, 2016): 34–47. http://dx.doi.org/10.1177/0961000616662699.
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In recent years, with the general adoption of smartphones with computing power comparable to desktop computers, mobile applications (apps) have experienced a surge in popularity. However, there are few studies conducted about their educational use, especially in Southeast Asia. To close this research gap, this study aims to provide a current overview of mobile apps usage in higher education. Besides exploring the actual use of apps, the technology acceptance model was applied to examine (1) undergraduate students’ perceptions, which involve perceived usefulness and perceived ease of use, towards adopting mobile apps for educational purposes, and (2) their overall attitude toward such adoption. Both quantitative and qualitative methods were used to collect data from 150 undergraduate students in Business, Education, and Engineering in Hong Kong. The results show undergraduate students use mobile apps frequently to engage in learning activities related to their academic studies, with a particularly focus on communication and collaborative working, accessing academic resources, and checking a dictionary. However, the discrepancies in using apps for academic purposes are not significant between the three faculties. Meanwhile, perceived usefulness has a more positive impact on overall attitude compared with the impact of perceived ease of use. The investigation will help tertiary institutions, library service providers, and educators develop and assess strategic planning for education collaborating with mobile apps. This paper could also give app developers some suggestions for app design based on actual usage and students’ information needs.
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Sormunen, Kati, Jari Lavonen, and Kalle Juuti. "Overcoming Learning Difficulties with Smartphones in an Inclusive Primary Science Class." Journal of Education and Learning 8, no. 3 (March 29, 2019): 21. http://dx.doi.org/10.5539/jel.v8n3p21.
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This paper examines how pupils with learning difficulties (LDs) used smartphones as supportive learning tools in an inclusive science class and how the usage developed over a two-year period. The case study was conducted in a Finnish primary school, where nine LD pupils’ smartphone usage was followed in three science learning practices that supported LDs. The data consisted of repeated smartphone questionnaires, interviews, learning outcomes, and teachers’ memoranda. The content and co-occurrence network analysis revealed that the smartphone usage varied in different practices, and its benefits developed gradually during the research period. Research highlights that teachers’ and pupils’ engagement with a dedicated, collaborative, and long-lasting process of smartphone usage in teaching and learning enables the achievement of change.
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Jung, Yurim, and Sooyoung Cheon. "Recommendation Modeling Through Media Usage Behavior Topic Analysis." Korean Data Analysis Society 24, no. 6 (December 30, 2022): 2157–68. http://dx.doi.org/10.37727/jkdas.2022.24.6.2157.
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As online shopping and mobile media are recently activated, various feedbacks are built on users' preferences and purchases. Various approaches are being studied to improve the performance of recommendation considering individual characteristics. This study carries out clustering from media panel data through LDA topic modeling to imply the meaning of user's media use behavior, and applies a new rating, calculated by combining the existing rating and sentiment analysis on media use by cluster, to the recommendation system. We select households living with their children, and make a recommendation 31 smart devices that could be helpful for the members. We utilize the SAMC algorithm for exact inference of LDA topic modeling, and set the optimal number of topics through coherence and perplexity. We use BPR and collaborative filtering for the recommendation algorithm, and BPR provides the best performance by comparing with three performance indicators. It is indicated that the recommendation process suggested by this study provides a reasonable recommendation considering individual characteristics.
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Burchart, Marc. "Paving the Road Towards Supporting Scalable Collaborative Writing in High-Diversity Distance Learning Groups." MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung 48 (June 12, 2022): 135–54. http://dx.doi.org/10.21240/mpaed/48/2022.06.12.x.
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Nowadays, collaborative learning in a virtual environment is highly relevant, especially in distance education and during the ongoing Covid-19 pandemic. Therefore, higher education institutions are striving to develop software tools for collaborative online learning and to support large numbers of students working simultaneously. For this purpose, it is important to collect information about the ongoing process of the collaborative work, especially learning and interaction data, e.g. how the students interact with the other group members and whether or how they exchange information with the teachers. These collected data are then analysed with methods of learning analytics with the help of the software tools and the results are used to support learners and teachers. In this paper, an architecture is proposed that enables collaborative writing by hundreds of students divided into many groups. It uses the synergy of the learning environment Moodle and the online editor Etherpad Lite. The needed software tools can be easily integrated into it. A prototype of the architecture and first required methods of data collection and learning analytics have already been developed and successfully tested in a first pilot usage with about 300 students. The long-term goal of this project is to support collaborative writing in near real time using self-developed software.
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Wang, Junyi, and Yue Qi. "A Multi-User Collaborative AR System for Industrial Applications." Sensors 22, no. 4 (February 9, 2022): 1319. http://dx.doi.org/10.3390/s22041319.
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Augmented reality (AR) applications are increasingly being used in various fields (e.g., design, maintenance, assembly, repair, training, etc.), as AR techniques help improve efficiency and reduce costs. Moreover, collaborative AR systems extend applicability, allowing for collaborative environments for different roles. In this paper, we propose a multi-user collaborative AR system (aptly called the “multi-user collaborative system”, or MUCSys); it is composed of three ends—MUCStudio, MUCView, and MUCServer. MUCStudio aims to construct industrial content with CAD model transformation, simplification, database update, marker design, scene editing, and exportation, while MUCView contains sensor data analysis, real-time localization, scene loading, annotation editing, and virtual–real rendering. MUCServer—as the bridge between MUCStudio and MUCView—presents collaborative and database services. To achieve this, we implemented the algorithms of local map establishment, global map registration, optimization, and network synchronization. The system provides AR services for diverse industrial processes via three collaborative ways—remote support, collaborative annotation, and editing. According to the system, applications for cutting machines were presented to improve efficiency and reduce costs, covering cutting head designs, production line sales, and cutting machine inspections. Finally, a user study was performed to prove the usage experience of the system.
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Howlader, Nadia, Vivien W. Chen, Lynn A. G. Ries, Michelle M. Loch, Richard Lee, Carol DeSantis, Chun Chieh Lin, Jennifer Ruhl, and Kathleen A. Cronin. "Overview of breast cancer collaborative stage data items-their definitions, quality, usage, and clinical implications: A review of SEER data for 2004-2010." Cancer 120 (November 20, 2014): 3771–80. http://dx.doi.org/10.1002/cncr.29059.
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Kalvet, Tarmo, Maarja Olesk, Marek Tiits, and Janika Raun. "Innovative Tools for Tourism and Cultural Tourism Impact Assessment." Sustainability 12, no. 18 (September 10, 2020): 7470. http://dx.doi.org/10.3390/su12187470.
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The importance of data and evidence has increased considerably in policy planning, implementation, and evaluation. There is unprecedented availability of open and big data, and there are rapid developments in intelligence gathering and the application of analytical tools. While cultural heritage holds many tangible and intangible values for local communities and society in general, there is a knowledge gap regarding suitable methods and data sources to measure the impacts and develop data-driven policies of cultural tourism. In the tourism sector, rapid developments are particularly taking place around novel uses of mobile positioning data, web scraping, and open application programming interface (API) data, data on sharing, and collaborative economy and passenger data. Based on feedback from 15 European cultural tourism regions, recommendations are developed regarding the use of innovative tools and data sources in tourism management. In terms of potential analytical depth, it is especially advisable to explore the use of mobile positioning data. Yet, there are considerable barriers, especially in terms of privacy protection and ethics, in using such data. User-generated big data from social media, web searches, and website visits constitute another promising data source as it is often publicly available in real time and has low usage barriers. Due to the emergence of new platform-based business models in the travel and tourism sector, special attention should be paid to improving access and usage of data on sharing and collaborative economy.
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Giles, Amanda. "Navigating the Contradictions: An ESL Teacher's Professional Self-Development in Collaborative Activity." TESL Canada Journal 35, no. 2 (December 31, 2018): 104–27. http://dx.doi.org/10.18806/tesl.v35i2.1292.
Full textAbstract:
The study contributes to language teacher education research by emphasizing an English as a second language (ESL) teacher’s learning through critical activity, which includes my attempts to change my pedagogical practices to provide more equitable educational opportunities for ESL students in the mainstream contentclassroom. Framed by Engeström’s (2001) Cultural Historical Activity Theory (CHAT), the study’s purpose was to examine my own professional self-development as an ESL teacher in learning how to initiate and sustain collaboration with a seventh-grade social studies teacher at a suburban middle school in the southeastern United States. Data collection included self-study methods, specifically interviews, collaborative planning sessions, reflective journals, field notes, and e-mail exchanges with a critical friend. The findings showed how I learned to navigate the misuse of planning time and the misrepresentation of collaborative teaching notions as the two major contradictions in collaboration to plan for and teach ESL students. By resolving the contradictions, I negotiated a division of labour and enacted my agency to assume the position of a content social studies teacher, which ultimately sustained the collaborative activity. These findings attend to thecomplex factors that influence an ESL teacher’s professional self-development and agency in collaboration with a social studies teacher.
L’étude contribue aux recherches sur la formation des enseignantes et enseignants de langues en rehaussant l’apprentissage d’une enseignante d’anglais langue seconde (ESL) grâce à l’ajout d’une activité critique tenant compte des tentatives que j’ai faites pour modifier mes pratiques pédagogiques afin de fournir des opportunités éducatives plus équitables aux élèves d’anglais langue seconde au niveau de l’enseignement général. Encadrée par la théorie historico-culturelle de l’activité (CHAT) (2001) d’Engeström, l’étude avait pour objet l’examen de mon propre développement professionnel comme enseignante d’anglais langue seconde alors que j’entreprenais et maintenais une collaboration avec un professeur d’études sociales qui enseignait à des élèves de septième année dans une école moyenne de banlieue du sud-est des États-Unis. Les données de l’étude consistaient en des méthodes d’auto-évaluation, plus précisément des entrevues, des séances de planification concertée, des journaux de bord, des notes de terrain, et des échanges de courriels avec un ami critique. Les conclusions montrent comment j’ai appris à contourner le mauvais usage du temps de préparation et la représentation erronée des notions d’enseignement collaboratif, c’est-à-dire les deux principales contradictions présentes dans une collaboration visant à planifier et dispenser l’enseignement aux élèves d’anglais langue seconde. En résolvant les contradictions, j’ai négocié une répartition des tâches et adapté mon agentivité de manière à assumer le poste d’enseignante d’études sociales, ce qui a ultimement soutenu l’activité de collaboration. Ces conclusions traitent des facteurs complexes qui influent sur l’auto-développement professionnel et l’agentivité d’une enseignante d’anglais langue seconde en collaboration avec un professeur d’études sociales.