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Journal articles on the topic 'Data barriers'

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Published: 10 December 2022
Last updated: 29 January 2023

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1

Oz, Effy. "Barriers to International Data Transfer." Journal of Global Information Management 2, no. 2 (April 1994): 22–29. http://dx.doi.org/10.4018/jgim.1994040102.

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2

Lougheed, Tim. "Rethinking barriers to big data." Canadian Medical Association Journal 187, no. 1 (November 17, 2014): E1. http://dx.doi.org/10.1503/cmaj.109-4942.

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3

Haug, Anders, and Jan Stentoft Arlbjørn. "Barriers to master data quality." Journal of Enterprise Information Management 24, no. 3 (April 19, 2011): 288–303. http://dx.doi.org/10.1108/17410391111122862.

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4

Check Hayden, Erika. "Data barriers limit genetic diagnosis." Nature 494, no. 7436 (February 2013): 156–57. http://dx.doi.org/10.1038/494156a.

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5

Alharthi, Abdulkhaliq, Vlad Krotov, and Michael Bowman. "Addressing barriers to big data." Business Horizons 60, no. 3 (May 2017): 285–92. http://dx.doi.org/10.1016/j.bushor.2017.01.002.

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6

Smith, James, Jeffrey Braithwaite, Tracey A. O’Brien, Stephanie Smith, Vanessa J. Tyrrell, Emily V. A. Mould, Janet C. Long, and Frances Rapport. "Re-Imagining the Data Collection and Analysis Research Process by Proposing a Rapid Qualitative Data Collection and Analytic Roadmap Applied to the Dynamic Context of Precision Medicine." International Journal of Qualitative Methods 21 (January 2022): 160940692211030. http://dx.doi.org/10.1177/16094069221103097.

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Our implementation science study focuses on implementing a new way of practice and offers methodological specificity about how to rapidly investigate an individually tailored precision medicine intervention. A qualitative study advancing a new methodology for speedily identifying barriers and enablers to implementation in the context of childhood cancer. Data were collected through rapid ethnography, coded using the Consolidated Framework for Implementation Research, and analysed by Sentiment Analysis. Thirty-eight data collection events occurred during 14 multidisciplinary tumour board meetings, 14 curation meetings, and 10 informal conversations. Sentiment Analysis distilled Consolidated Framework for Implementation Research codes to reveal key barriers and enablers to implementation. A traffic light labelling system has been used to present levels of positivity and negativity (green for strong enablers and red for strong barriers), highlighting levels of concern regarding implementation. Within the intervention design characteristics, “Adaptability” was the strongest enabler and “Design quality and safety” the strongest barrier. Among the contextual factors: “Networks and communication” were the strongest enabler, and “Available resources” were the strongest barrier. Overall, there was a higher percentage of negative sentiment towards intervention design characteristics and contextual factors than positive sentiment, while more concerns were raised about intervention design factors than contextual factors. This study offers a rapid qualitative data collection and analytic methodological roadmap for establishing barriers and enablers to a paediatric precision medicine intervention.
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Muhammad Shaikh, Faiz, Dr Anwar Ali Shah G.Syed, and Zahid Hussain kazi. "ISSURES OF TEXTILE EXPORTERS IN THE CONTEXT OF PAK-INDIA TRADE." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 10, no. 5 (January 26, 2015): 2168–76. http://dx.doi.org/10.24297/ijmit.v10i5.620.

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This research investigates the issues of Textile exporters in the context of PAK-India trade relation. Data were collected from 100 exporters by using simple random technique. Data were analyzed by using SPSS-20 version, A structural questionnaire was developed for the reliability and validity of the data. It was revealed that respondents regard governmental regulations, customs procedure and licensing, technical standards and health regulations, sanitary and phytosanitary measures and certification as the major barriers to export. The anti-dumping and tariff barrier are not the major barriers but tends to be the major ones. The tariff barrier may be low due to several rounds of GATT and WTo. It was further revealed that the respondents regard the market access problems and labeling and packaging as the major barriers to export. Although not the major barriers but cultural one, the currency exchange rate and informational barrier tend to be the major barriers to export. The Legal and Political barriers, Languages and Customs, demand of the product, working structure / schedule of the targeting country, business environment are not regarded as barriers to export.
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8

Uszkay, Duncan, Daniel Podovics, and Mark Joaquim. "Clustering and Analysis of Data." STEM Fellowship Journal 1, no. 1 (July 1, 2015): 2–4. http://dx.doi.org/10.17975/sfj-2015-003.

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In any retail business, the key to success is to tear down the barriers between you and the customer. In this case, the barrier exists between our records of transactions and information about our customers. This is the barrier between big data, with thousands of records, and information. To remove this, we needed to collect our data and group our customers into manageable portions on which we could make business decisions. We took our information, formatted it, aggregated it, and clustered it into 5 groups with distinct characteristics. We could make relevant decisions for each customer with minimal effort, even though we had hundreds of customers to analyze.
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Kumar, Narender, Girish Kumar, and Rajesh Kr Singh. "Analysis of barriers intensity for investment in big data analytics for sustainable manufacturing operations in post-COVID-19 pandemic era." Journal of Enterprise Information Management 35, no. 1 (September 30, 2021): 179–213. http://dx.doi.org/10.1108/jeim-03-2021-0154.

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PurposeThe study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the graph theory matrix approach (GTMA) is applied.Design/methodology/approachThe study presents various barriers to adopt BDA for the SMOs post-COVID-19 pandemic. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the GTMA is applied.FindingsThe study identifies barriers to investment in BDA implementation. It categorizes the barriers based on factor analysis and computes the intensity for each category of a barrier for BDA investment for SMOs. It is observed that the organizational barriers have the highest intensity whereas the human barriers have the smallest intensity.Practical implicationsThis study may help organizations to take strategic decisions for investing in BDA applications for achieving one of the sustainable development goals. Organizations should prioritize their efforts first to counter the barriers under the category of organizational barriers followed by barriers in data management and human barriers.Originality/valueThe novelty of this paper is that barriers to BDA investment for SMOs in the context of Indian manufacturing organizations have been analyzed. The findings of the study will assist the professionals and practitioners in formulating policies based on the actual nature and intensity of the barriers.
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10

Mulligan, Mark, Bernhard Lehner, Christiane Zarfl, Michele Thieme, Penny Beames, Arnout van Soesbergen, Jonathan Higgins, et al. "Global Dam Watch: curated data and tools for management and decision making." Environmental Research: Infrastructure and Sustainability 1, no. 3 (November 23, 2021): 033003. http://dx.doi.org/10.1088/2634-4505/ac333a.

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Abstract Dams, reservoirs, and other water management infrastructure provide benefits, but can also have negative impacts. Dam construction and removal affects progress toward the UN sustainable development goals at local to global scales. Yet, globally-consistent information on the location and characteristics of these structures are lacking, with information often highly localised, fragmented, or inaccessible. A freely available, curated, consistent, and regularly updated global database of existing dams and other instream infrastructure is needed along with open access tools to support research, decision-making and management needs. Here we introduce the Global Dam Watch (GDW) initiative (www.globaldamwatch.org ) whose objectives are: (a) advancing recent efforts to develop a single, globally consistent dam and instream barrier data product for global-scale analyses (the GDW database); (b) bringing together the increasingly numerous global, regional and local dam and instream barrier datasets in a directory of databases (the GDW directory); (c) building tools for the visualisation of dam and instream barrier data and for analyses in support of policy and decision making (the GDW knowledge-base) and (d) advancing earth observation and geographical information system techniques to map a wider range of instream structures and their properties. Our focus is on all types of anthropogenic instream barriers, though we have started by prioritizing major reservoir dams and run-of-river barriers, for which more information is available. Our goal is to facilitate national-scale, basin-scale and global-scale mapping, analyses and understanding of all instream barriers, their impacts and their role in sustainable development through the provision of publicly accessible information and tools. We invite input and partnerships across sectors to strengthen GDW’s utility and relevance for all, help define database content and knowledge-base tools, and generally expand the reach of GDW as a global hub of impartial academic expertise and policy information regarding dams and other instream barriers.
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11

IWATA, Shuichi. "Materials Data System : Objectives and Barriers." Journal of the Society of Mechanical Engineers 89, no. 817 (1986): 1335–41. http://dx.doi.org/10.1299/jsmemag.89.817_1335.

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12

Tenopir, Carol, Carole L. Palmer, Lisa Metzer, Jeffrey van der Hoeven, and Jim Malone. "Sharing data: Practices, barriers, and incentives." Proceedings of the American Society for Information Science and Technology 48, no. 1 (2011): 1–4. http://dx.doi.org/10.1002/meet.2011.14504801026.

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13

SKALSKI, JANUSZ. "SELFCONSISTENT FUSION BARRIERS AT NEAR BARRIER ENERGIES." International Journal of Modern Physics E 13, no. 01 (February 2004): 305–8. http://dx.doi.org/10.1142/s0218301304002090.

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Fusion potentials are calculated for a number of reactions within the static Hartree-Fock method with the Skyrme force SkM*. Fusion barriers agree with the data considerably better than reaction Q values. This suggests some error cancellation, possibly with the relative kinetic energy term. Our results are consistent with the idea of fusion hindrance in tip collisions. Some comparison to results of the frozen density method is made.
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14

Mello, Michelle M., George Triantis, Robyn Stanton, Erik Blumenkranz, and David M. Studdert. "Waiting for data: Barriers to executing data use agreements." Science 367, no. 6474 (January 9, 2020): 150–52. http://dx.doi.org/10.1126/science.aaz7028.

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15

Butt, Hira, Nauman Rauf Khan, Ameer Iqbal Iqbal, Khadija Ahmad Pakistan, Shahid Iqbal, and Fiza Tahir. "Factors Influencing the Participation and Engagement of Dental Students in E-Learning During Covid-19 Pandemic." Journal of Gandhara Medical and Dental Science 8, no. 2 (April 1, 2021): 24–30. http://dx.doi.org/10.37762/jgmds.8-2.165.

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OBJECTIVES: To assess the factors that influences the participation and engagement of dental students in online classes. METHODOLOGY: A descriptive cross-sectional study was conducted using a pre-validated questionnaire with 45 barriers items used. The Cronbach Alpha value after removing certain items in our study was calculated to be 0.934, which resulted in 35 barrier items. Recorded data were coded and entered using SPSS version 23.0. Nominal data were presented as frequency and percentage, whereas all numerical data was entered as mean and standard deviation. Factor analysis on questions pertaining to barriers to e-learning was done. RESULTS: The underlying construct of the data was identified using principal component factor analysis. The type of rotation used was Varimax. The value of Kaiser-Meyer-Olkin measure for sampling adequacy (MSA) was 0.880. The criteria used for identifying factors were the latent root criteria. A total of six factors were identified. The overall variance explained by these factors was 61.9%. The barriers ranked the highest were those pertaining to motivational problems and time interruptions (2.8667±0.88524). The barriers that were ranked the lowest were those pertaining to instructors and personal problems (2.3894±0.81059). CONCLUSION: The biggest barrier was found to be motivational problems in attending online classes. The second-highest ranked barrier was social problems. The third barrier included a lack of support services. Technical barriers were ranked fourth. The barrier that was ranked fifth was a lack of pre-requisite skills. The barriers that were reported to be the least were problems pertaining to the instructor and personal problems. KEYWORDS: Motivational Barrier, Social Barrier, Technical Barrier, Instructor and Personal Barrier, Pre-requisite Skill, Kaiser-Meyer-Olkin (KMO
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16

Fanea, Laura, Leontin I. David, Andrei Lebovici, Francesca Carbone, and Silviu A. Sfrangeu. "Theoretical Compartment Modeling of DCE-MRI Data Based on the Transport across Physiological Barriers in the Brain." Computational and Mathematical Methods in Medicine 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/482565.

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Neurological disorders represent major causes of lost years of healthy life and mortality worldwide. Development of their quantitative interdisciplinaryin vivoevaluation is required. Compartment modeling (CM) of brain data acquiredin vivousing magnetic resonance imaging techniques with clinically available contrast agents can be performed to quantitatively assess brain perfusion. Transport of1H spins in water molecules across physiological compartmental brain barriers in three different pools was mathematically modeled and theoretically evaluated in this paper and the corresponding theoretical compartment modeling of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data was analyzed. The pools considered were blood, tissue, and cerebrospinal fluid (CSF). The blood and CSF data were mathematically modeled assuming continuous flow of the1H spins in these pools. Tissue data was modeled using three CMs. Results in this paper show that transport across physiological brain barriers such as the blood to brain barrier, the extracellular space to the intracellular space barrier, or the blood to CSF barrier can be evaluated quantitatively. Statistical evaluations of this quantitative information may be performed to assess tissue perfusion, barriers' integrity, and CSF flowin vivoin the normal or disease-affected brain or to assess response to therapy.
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17

Yang, Liu, Keping Li, Guozheng Song, and Faisal Khan. "Dynamic Railway Derailment Risk Analysis with Text-Data-Based Bayesian Network." Applied Sciences 11, no. 3 (January 22, 2021): 994. http://dx.doi.org/10.3390/app11030994.

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In recent years, transportation system safety analysis has become increasingly challenging and highly demanding. Unstructured data contain sufficient information from which inherent interactions can be extracted. Determining how to process and fuse a large amount of unstructured data is a challenging task. In this paper, we propose a text-based Bayesian network (TBN) method to establish a Bayesian network (BN) based on text records, where the BN’s arcs are obtained from barrier relationships identified by a graphical model and its prior probabilities stem from fault trees. The comparative experimental results illustrate that the text-based method in TBN is efficient. The precision, recall and F-measure of TBN are 8.64%, 10.70% and 9.84% higher, respectively, than the most frequent (MF) result. Moreover, compared to the traditional BN, whose prior probabilities are frequently acquired from experts, the prior probabilities of the proposed text-based BN (TBN) have a high confidence. The experimental results of a train derailment accident case study show that with changes in the train derailment probabilities and the safety potentials of the barriers, the TBN generates quantitative results and reveals the critical risks of derailment accidents. Additionally, this work demonstrates relevant nonlinear relationships to improve the assessment results. Therefore, based on text-based data, this study reveals that barrier safety analysis has the potential to identify high-risk barriers, which can guide managers to enhance these barriers.
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18

Parung, Gary Alexander, Achmad Nizar Hidayanto, Puspa Indahati Sandhyaduhita, Karina Lia Meirita Ulo, and Kongkiti Phusavat. "Barriers and strategies of open government data adoption using fuzzy AHP-TOPSIS." Transforming Government: People, Process and Policy 12, no. 3/4 (October 15, 2018): 210–43. http://dx.doi.org/10.1108/tg-09-2017-0055.

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Purpose This study aims to propose strategies to address the identified major barriers for giving the public open access to government data. The study adopts fuzzy analytical hierarchy process and technique for order performance by similarity to ideal solution (AHP-TOPSIS) to weigh the barriers and strategies, and it subsequently involves experts to identify and weigh the barriers and strategies. A case of Indonesia is used to contextualize the study. Design/methodology/approach The data were collected using fuzzy AHP-TOPSIS-based questionnaires given to several government representatives who had been working with data and information. The respondents were given sets of pairwise comparisons of which they were asked to compare the level of importance using one to nine fuzzy numbers between barriers and strategies. The data were then calculated using the fuzzy AHP-TOPSIS formula to obtain each weight of the barriers and strategies. The weight is used to prioritize the barrier and strategies. Findings In total, five barrier categories in the order of importance, namely, legal and privacy; government culture; social; technical; and economic, were identified from 27 barriers. In total, ten strategies of open government data (OGD) adoption were identified and ranked in the order of importance, and they can be grouped into five priorities. Priority 1 is to involve stakeholders in OGD planning and establish an OGD competence center. Priority 2 is to develop a legal compliance framework. Priority 3 is to adopt OGD gradually. Priority 4 is to create a collaboration feature on the portal for stakeholder communication and raise public awareness of OGD. Priority 5, finally, is to conduct training for government officials, develop standard operating practice for OGD management, use standard data formats and provide metadata. Research limitations/implications This study provides a perspective from the government’s view. One suggestion for future research is to conduct a study from the public’s perspective to formulate strategies based on the identified citizens’ barriers in using OGD. In addition, cross-country (of different characteristics) studies were required to generalize the findings. Practical implications The first strategy of the first priority implies that government institutions should be able to develop a preliminary plan to involve relevant stakeholders in OGD planning, which includes identifying relevant stakeholders and continuously engaging them to participate in the planning phase of OGD. The second strategy in the first priority entails that government institutions should realize an OGD competence center by creating a virtual team whose members are from various backgrounds and who are very knowledgeable about OGD and how to manage OGD in government institutions. Originality/value This research provides key strategies to address the main barriers to giving the public open access to government data.
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Attiany, Murad Salim, Sami Awwad Al-kharabsheh, lafie Saleh Al-Makhariz, Mohd Ahmad Abed-Qader, Sulieman Ibraheem Shelash Al-Hawary, Anber Abraheem Mohammad, and Adeeb Ahmed AL Rahamneh. "Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling." Uncertain Supply Chain Management 11, no. 1 (2023): 299–306. http://dx.doi.org/10.5267/j.uscm.2022.9.013.

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This research aims at exploring barriers of adopting Industry 4.0 in manufacturing supply chains. Data were collected based on a review of extant literature on barriers Industry 4.0 adoption, individual interviews with a panel consisted of academic and industry experts. Following numerous previous studies, interpretive structural modeling (ISM) and matrix multiplication applied to classification (MICMAC) analysis were conducted to order 10 barriers based on their importance and impacts. The results excluded one barrier “cyber security challenges”, categorized another one as a dependent barrier “lack of digital strategy”, and eight barriers as linkage barriers “lack of infrastructure”, “personnel resistance to adopt new technologies”, “high investment requirements”, “data management and quality challenges”, “uncertainty of economic benefits”, “low maturity level of technology”, “lack of adequate skills”, and “job disruptions”. Henceforward, it was concluded that mitigating these eight barriers is very critical to ensure a successful adoption of Industry 4.0 technologies in supply chains. Further studies are required to categorize these eight barriers based on their importance and relationships.
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Alfauzy, Muhamad Naufal, and Arfenia Nita. "Determining Barriers Factors That Affecting Indonesian Young Customer Purchase Intention of Sustainable Fashion." Malaysian Journal of Social Sciences and Humanities (MJSSH) 6, no. 8 (August 10, 2021): 509–17. http://dx.doi.org/10.47405/mjssh.v6i8.938.

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This research aims to generate the correlation between several barrier factors: product design barrier, knowledge barrier, cost barrier, and supply source barrier towards Gen-Y customer purchase intention of sustainable fashion in Indonesia. This research is using the theory that stated barrier factors are directly influencing customer purchase intention. A total of 226 respondents all across Indonesia are selected through the non-probability purposive sampling technique. This study's instrument uses questionnaires that have been adjusted in terms of language and evaluated by using validity and reliability testing. The data output from data collection is analyzed with the multiple linear regression techniques. The findings indicate a significant influence between product design barriers, knowledge barriers, cost barriers, and supply source barriers simultaneously towards purchase intention of sustainable fashion among Indonesian Gen-Y. When assessed partially, product design barriers negatively influence purchase intention, and the result is significant. It means that the product design barrier is not a barrier that hinders the purchase intention of sustainable fashion. The knowledge barrier and cost barrier also negatively influence purchase intention of sustainable fashion, but the result is not significant. The supply source barrier has a positive influence on the purchase intention of sustainable fashion. It means there is an actual barrier that hinders the purchase intention of sustainable fashion. This study suggested that business owners make sustainable fashion more accessible on every platform, offline and online, to decrease the supply source barrier.
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Li, Ming, and Jiming Feng. "Construction of a Prediction Model for College Students’ Psychological Disorders Based on Decision Systems and Improved Neural Networks." Computational Intelligence and Neuroscience 2022 (July 5, 2022): 1–7. http://dx.doi.org/10.1155/2022/6746419.

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Modeling and prediction of psychological disorders is a hot topic in current research. Neural networks are very important factors in improving the accuracy and precision ratios of the models which are developed for the prediction of the psychological disorders. An upgraded neural network prediction model of psychological diseases was suggested in order to attain an optimum prediction effect of psychological disorders. First, it analyzes the current progress in predicting the psychological barrier, finds the current limitations of various psychological barrier forecast model, collects the historical data of psychological barriers, and introduces the chaos algorithm of mental disorder history data preprocessing, psychological barriers to better mining change characteristic, and then, after pretreatment using neural network to the psychological barriers to learning history data, introduce the grain subgroup algorithm to improve the problems existing in the neural network, establish a prediction model of the optimal psychological barriers, and finally, through the contrast test and other psychological obstacle prediction model, the results depict enhanced neural network psychological barrier prediction accuracy of more than 95%, compared with the contrast model. Precision is improved by more than 5%. At the same time, the psychological barrier modeling time is shorter, improving the psychological barriers to predict. The efficiency has a higher practical application value.
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Gabauer, Douglas J. "Real-World Performance of Longitudinal Barriers Struck by Large Trucks." Transportation Research Record: Journal of the Transportation Research Board 2309, no. 1 (January 2012): 127–34. http://dx.doi.org/10.3141/2309-13.

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Very little is known about the real-world performance of traffic barriers when subjected to impacts by large trucks. This study investigated real-world impacts of large trucks into traffic barriers to determine barrier crash involvement rates, the impact performance of barriers not specifically designed to redirect large trucks, and the real-world performance of barriers specifically designed for large trucks. Data sources included the Fatality Analysis Reporting System (2000 to 2009), the General Estimates System (2000 to 2009), and the Large Truck Crash Causation Study (155 in-depth crashes of large trucks into barriers). Impacts of large trucks into longitudinal barriers constituted 3% of all police-reported impacts into longitudinal barriers and roughly the same proportion of barrier fatalities. A logistic regression model predicting barrier penetration showed that the risk of a large truck penetrating a barrier increased by a factor of 6 for impacts with barriers designed primarily for passenger vehicles. Although barriers specifically designed for impacts by large trucks performed better than barriers not specifically designed for impacts by heavy vehicles, the penetration rate of the former was 17%. This penetration rate is of concern, because barriers used for higher test levels are designed to protect other road users, not the occupants of large trucks. Barriers not specifically designed for impacts by large trucks prevented penetration by a large truck approximately half the time. This finding suggests that adding costlier barriers that meet higher test levels may not always be warranted, especially on roadways with lower truck volumes.
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Huberman, Bernardo A., and Tad Hogg. "Privacy and data balkanization: circumventing the barriers." AI and Ethics 1, no. 3 (March 17, 2021): 347–53. http://dx.doi.org/10.1007/s43681-021-00042-7.

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Miksa, Tomasz, Barbara Sánchez Solis, Andreas Rauber, Paolo Budroni, and Raman Ganguly. "RDA Austria - Removing Barriers in Data Sharing." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 72, no. 2 (August 15, 2019): 365–72. http://dx.doi.org/10.31263/voebm.v72i2.2833.

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Research Data Alliance Austria (RDA-AT) is a national RDA node dedicated to representing emerging research and data management communities throughout Austria. RDA-AT will operate as a formal participant of RDA Europe and RDA Global, linking Austrian data management initiatives and RDA Working and Interest Groups, providing assistance in adoption of RDA recommendations, and allowing Austrian stakeholders to benefit directly from RDA support mechanisms. These new connections will bring key Austrian issues to the global data management table, and global discussions back to Austria. This paper details the goals of the RDA-AT and describes its community and sustainability plans.
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Brown, C. "Barriers to accessing data are bad medicine." Canadian Medical Association Journal 186, no. 16 (September 29, 2014): 1203. http://dx.doi.org/10.1503/cmaj.109-4894.

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Haug, Anders, Jan Stentoft Arlbjørn, Frederik Zachariassen, and Jakob Schlichter. "Master data quality barriers: an empirical investigation." Industrial Management & Data Systems 113, no. 2 (March 11, 2013): 234–49. http://dx.doi.org/10.1108/02635571311303550.

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27

McCrohan, Kevin F., and Larry S. Lowe. "NON‐TARIFF BARRIERS TO INTERNATIONAL DATA FLOW." Industrial Management & Data Systems 88, no. 5/6 (May 1988): 8–11. http://dx.doi.org/10.1108/eb057508.

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Gong, Liyuan, and Xiuling Wang. "Numerical Study of Noise Barriers’ Side Edge Effects on Pollutant Dispersion near Roadside under Various Thermal Stability Conditions." Fluids 3, no. 4 (December 8, 2018): 105. http://dx.doi.org/10.3390/fluids3040105.

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Roadside noise barrier helps to reduce downwind pollutant concentrations from vehicle emission. This positive characteristic of the construction feature can be explained by its interaction with flow distribution and species dispersion. In this paper, a three-dimensional numerical model has been developed to simulate highway pollutant dispersion—a realizable k-ε model was employed to model turbulent flow, and a non-reaction species dispersion model was applied to simulate species transport. First, numerical models were validated with experimental data, and good agreement was observed. Then, detailed simulations were conducted to study double barriers’ effects on highway pollutant dispersion under different settings: noise barriers with different heights, noise barriers with and without edge effects, and different atmospheric thermal boundary conditions. Results show that: (1) Noise barriers without edge effects cause bigger downwind velocity and turbulence intensity than noise barriers with edge effects. (2) At ground level, lower downwind pollutant concentration and higher pollutant concentration, near upwind barrier and between barriers, are observed for noise barriers without edge effect cases; higher on-road pollutant concentration can be seen near barrier side edges for cases with edge effect. (3) Downwind velocity and turbulence intensity increase as barrier height increases, which causes reduced downwind pollutant concentration. (4) With the same barrier height, under unstable atmospheric boundary condition, the lowest pollutant concentration can be found for both downwind and between barriers. Overall, these findings will provide valuable inputs to noise barrier design, so as to improve roadside neighborhood air quality.
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Zasuhina, Ol'ga, Egor Ershov, Leonid Golovatiukov, and Grigory Shitenkov. "BIG DATA IN THE ELECTRIC POWER INDUSTRY SECTION." Bulletin of the Angarsk State Technical University 1, no. 16 (December 27, 2022): 16–20. http://dx.doi.org/10.36629/2686-777x-2022-1-16-16-20.

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Migliorini, Massimo, Jenny Sjåstad Hagen, Jadranka Mihaljević, Jaroslav Mysiak, Jean-Louis Rossi, Alexander Siegmund, Khachatur Meliksetian, and Debarati Guha Sapir. "Data interoperability for disaster risk reduction in Europe." Disaster Prevention and Management: An International Journal 28, no. 6 (November 4, 2019): 804–16. http://dx.doi.org/10.1108/dpm-09-2019-0291.

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Purpose The purpose of this paper is to discuss how, despite increasing data availability from a wide range of sources unlocks unprecedented opportunities for disaster risk reduction, data interoperability remains a challenge due to a number of barriers. As a first step to enhancing data interoperability for disaster risk reduction is to identify major barriers, this paper presents a case study on data interoperability in disaster risk reduction in Europe, linking current barriers to the regional initiative of the European Science and Technology Advisory Group. Design/methodology/approach In support of Priority 2 (“Strengthening disaster risk governance to manage disaster risk”) of the Sendai Framework and SDG17 (“Partnerships for the goals”), this paper presents a case study on barriers to data interoperability in Europe based on a series of reviews, surveys and interviews with National Sendai Focal Points and stakeholders in science and research, governmental agencies, non-governmental organizations and industry. Findings For a number of European countries, there remains a clear imbalance between long-term disaster risk reduction and short-term preparation and the dominant role of emergency relief, response and recovery, pointing to the potential of investments in ex ante measures with better inclusion and exploitation of data. Originality/value Modern society is facing a digital revolution. As highlighted by the International Council of Science and the Committee on Data for Science and Technology, digital technology offers profound opportunities for science to discover unsuspected patterns and relationships in nature and society, on scales from the molecular to the cosmic, from local health systems to global sustainability. It has created the potential for disciplines of science to synergize into a holistic understanding of the complex challenges currently confronting humanity; the Sustainable Development Goals are a direct reflectance of this. Interdisciplinary is obtained with integration of data across relevant disciplines. However, a barrier to realization and exploitation of this potential arises from the incompatible data standards and nomenclatures used in different disciplines. Although the problem has been addressed by several initiatives, the following challenge still remains: to make online data integration a routine.
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Hatch, Melissa R., Kristine Carandang, Joanna C. Moullin, Mark G. Ehrhart, and Gregory A. Aarons. "Barriers to implementing motivational interviewing in addiction treatment: A nominal group technique process evaluation." Implementation Research and Practice 2 (January 2021): 263348952110184. http://dx.doi.org/10.1177/26334895211018400.

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Background: The successful implementation of evidence-based practices (EBPs) in real-world settings requires an adaptive approach and ongoing process evaluation and tailoring. Although conducting a needs assessment during the preparation phase of implementation is beneficial, it is challenging to predict all barriers to EBP implementation that may arise over the course of implementation and sustainment. This article describes a process evaluation that identified emergent and persistent barriers that impacted the implementation of an EBP across multiple behavioral health organizations and clinics. Methods: This study was conducted during the first cohort of a cluster randomized controlled trial testing the effectiveness of the Leadership and Organizational Change for Implementation (LOCI) strategy to implement motivational interviewing (MI) in substance use disorder treatment agencies and clinics. We used a modified nominal group technique (NGT) in which clinic leaders identified barriers faced during the implementation process. Barriers were categorized, then ranked and rated according to leaders’ perceptions of each barrier’s influence on implementation. The barriers were then contextualized through individual qualitative interviews. Results: Fifteen barriers were identified, grouped into staff-level barriers, management-level barriers, and implementation program barriers. Time and resistance to MI were rated as the most influential staff-level barriers. Among management-level barriers, time was also rated highest, followed by turnover and external contractual constraints. The most influential implementation barrier was client apprehension of recording for fidelity assessment and feedback. Individual interviews supported these findings and provided suggested adaptations for future implementation efforts. Conclusion: EBP implementation is an ongoing process whereby implementation strategies must be proactively and strategically tailored to address emergent barriers. This research described a process evaluation that was used to identify 15 emergent and/or persistent barriers related to staff, management, and the implementation program. Using implementation strategies that can be tailored and/or adapted to such emergent barriers is critical to implementation effectiveness. Plain Language Summary Unforeseen barriers often arise during the course of implementation. Conducting evaluations during implementation allows for tailoring the implementation strategy. As part of a larger study using the Leadership and Organizational Change for Implementation (LOCI) strategy to implement motivational interviewing (MI), we collected data from the first cohort of LOCI clinic leaders to identify barriers to MI implementation that persisted despite advanced planning and to understand unanticipated barriers that arose during implementation. Leaders identified 15 barriers faced during the implementation process that fell into three categories: staff-level barriers, management-level barriers, and implementation program barriers. The leaders ranked time as the most influential barrier at both the staff and management levels. Staff apprehension, resistance to MI implementation, and staff turnover were also of significant concern to leaders. Future implementation efforts may benefit from conducting a similar process evaluation during the implementation phase.
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Hanafi, Syahrul. "Does Information Affect Online Zakat Payment?" International Journal of Zakat 5, no. 3 (December 4, 2020): 57–72. http://dx.doi.org/10.37706/ijaz.v5i3.261.

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Indonesia has enormous potential for zakat, but the results of collecting zakat are still far from the existing potential. OPZ has made various ways to increase the collection of zakat funds, one of which is by implementing online zakat payments. This study aims to analyze the resistance to using online zakat payment services. The research approach is quantitative with the help of smartPLS software. This study's variables consist of information variables, which are independent variables, while the dependent variable consists of traditional barrier variables, image barriers, usage barriers, value barriers, and risk barriers. Data in this study collected using a questionnaire. The sample of this study was 100 respondents from various regions in Indonesia. The results showed that the information has a significant and negative effect on the traditional barrier variables, image barrier, usage barrier, value barrier. This means that the greater / more information provided by OPZ, the barrier in using online zakat payment services are getting smaller / less. The information variable on the risk barrier shows insignificant and negative results.
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Außermaier, Hannes, Ursula Margarethe Costa, Maria Essmeister, and Gudrun Diermayr. "Wheelchair users’ perspectives on barriers in public spaces in Vienna: implications for the development of a barrier information system / Barrieren aus der Sicht von Rollstuhlnutzern/-innen im öffentlichen Raum in Wien: Implikationen für ein Barriere-Informationssystem." International Journal of Health Professions 3, no. 2 (July 29, 2016): 177–88. http://dx.doi.org/10.1515/ijhp-2016-0017.

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AbstractBackgroundWheelchair users often encounter barriers reducing community mobility and participation in societal life. Information on barrier-free routes may improve mobility and therefore societal participation. In addition to technical prerequisites, a routing system will only be effective and used by the target group, if the development process is based on their perceptions and needs. The aim of the study was therefore to collect data on barriers from the viewpoint of wheelchair users in Vienna.MethodsA multiprofessional team conducted three focus group discussions with 22 wheelchair users from Vienna (maximum variation sampling, wheelchair-bound individuals and assistants). Data were analyzed qualitatively using inductive and deductive content analysis. The International Classification of Functioning, Disability and Health, and the Occupational Performance Model (Australia) served as guiding frameworks during deductive data analysis. Barriers within the physical environment were further subcategorized.ResultsBarriers identified in all three groups could be assigned mainly to physical and socio-cultural environments. Most important physical barriers were ground conditions, curbstones and gradients. Other barriers were related to one’s own body, other people in the environment, and lack of information on structural conditions.DiscussionOur results underline the benefit of participatory research and they demonstrate the complexity of barriers encountered by wheelchair users in the community. A routing system provides information to wheelchair users enabling them to avoid physical barriers in the community and to stakeholders enabling them to reduce and remove barriers in public spaces.
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Jackson, Russell E., and William M. Felton. "Barriers to Falling Risk." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1680–84. http://dx.doi.org/10.1177/1541931213601909.

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Falling is a major health risk in workplaces and homes worldwide. Our efforts at falling prevention have made little impact in reducing the number or severity of falls in recent decades. These efforts focus on physical barriers, but neglect the ways that individuals react to those barriers. The current research used Evolved Navigation Theory in order to predict how barriers influence perception in falling risk scenarios. Participants in two experiments estimated surfaces varying in falling risk and barrier type. Experiment 1 identified that environmental perception unknowingly reflected falling risk. Experiment 2 identified specific perceptual differences that derived from differences in physical barriers. These data provide a new capacity to address a major worldwide health risk.
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Smith, Kristy L., Kelly Carr, Alexandra Wiseman, Kelly Calhoun, Nancy H. McNevin, and Patricia L. Weir. "Barriers Are Not the Limiting Factor to Participation in Physical Activity in Canadian Seniors." Journal of Aging Research 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/890679.

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The identification of barriers to physical activity and exercise has been used for many decades to explain exercise behavior in older adults. Typically health concerns are the number one barrier to participation. Data from CCHS-HA dataset(N=20,875)were used to generate a sample of Canadians, 60+ years, who did not identify a health condition limitation, illness, or injury as a barrier to participation in physical activity(n=4,900)making this dataset unique in terms of the study of barriers to participation. While the vast majority of older adults participated in physical activity, 9.4% did not. The relationships between nonparticipation, barriers, self-reported health status, and chronic health conditions were determined using binary logistic regression. The main findings suggest that traditional barriers and self-reported health status are not responsible for nonparticipation. Nonparticipation was best predicted by chronic health conditions suggesting a disconnect between self-reported health status and underlying health conditions. The data are clear in suggesting that barriers are not the limiting factor and physical activity programming must be focused on meeting the health needs of our aging population.
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Dijkstra, S. Coosje, Judith E. Neter, Maartje M. van Stralen, Dirk L. Knol, Ingeborg A. Brouwer, Martijn Huisman, and Marjolein Visser. "The role of perceived barriers in explaining socio-economic status differences in adherence to the fruit, vegetable and fish guidelines in older adults: a mediation study." Public Health Nutrition 18, no. 5 (August 4, 2014): 797–808. http://dx.doi.org/10.1017/s1368980014001487.

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AbstractObjectiveWe aimed to identify barriers for meeting the fruit, vegetable and fish guidelines in older Dutch adults and to investigate socio-economic status (SES) differences in these barriers. Furthermore, we examined the mediating role of these barriers in the association between SES and adherence to these guidelines.DesignCross-sectional.SettingLongitudinal Aging Study Amsterdam (LASA), the Netherlands.SubjectsWe used data from 1057 community-dwelling adults, aged 55–85 years. SES was measured by level of education and household income. An FFQ was used to assess dietary intake and barriers were measured with a self-reported lifestyle questionnaire.ResultsOverall, 48·9 % of the respondents perceived a barrier to adhere to the fruit guideline, 40·0 % for the vegetable and 51·1 % for the fish guideline. The most frequently perceived barriers to meet the guidelines were the high price of fruit and fish and a poor appetite for vegetables. Lower-SES groups met the guidelines less often and perceived more barriers. The association between income and adherence to the fruit guideline was mediated by ‘perceiving any barrier to meet the fruit guideline’ and the barrier ‘dislike fruit’. The association between income and adherence to the fish guideline was mediated by ‘perceiving any barrier to meet the fish guideline’ and the barrier ‘fish is expensive’.ConclusionsPerceived barriers for meeting the dietary guidelines are common in older adults, especially in lower-SES groups. These barriers and in particular disliking and cost concerns explained the lower adherence to the guidelines for fruit and fish in lower-income groups in older adults.
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Rzepczyk, Szymon, Jakub Majer, and Maciej Obst. "ROAD SAFETY BARRIERS AND THE SAFETY OF ROAD USERS – THE ANALYSIS OF THE SITUATION IN POLAND." Logistics and Transport 55, no. 2 (2022): 85–100. http://dx.doi.org/10.26411/83-1734-2015-2-55-7-22.

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Road safety barriers are a basic element of the road infrastructure aimed at improving the safety of road users. Design parameters and indications for assembly are strictly regulated by the GDDKiA (General Directorate for National Roads and Motorways) guidelines in accordance with the European standards. In Poland, the most commonly used barriers are thin-walled metal sheet barriers, rope barriers, and concrete ones. The types differ in terms of technical parameters and level of security they provide. One of the purposes of installing road safety barriers is to protect road users from hitting an obstacle in the vicinity of the road, and to protect people around the accident from the effects of an uncontrolled vehicle leaving the road. The effects of a collision caused by hitting a protective road barrier depend mainly on the type of the barrier and the vehicle. The authors made a detailed and interdisciplinary analysis of data on accidents resulting from hitting a road safety barrier, comparing them with information available in the literature, combining the technical aspects of the use of barriers with a medical description of the description of typical injuries.
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Fidler, Christine Sarah, Raed Kareem Kanaan, and Simon Rogerson. "Barriers to e-Government Implementation in Jordan." International Journal of Technology and Human Interaction 7, no. 2 (April 2011): 9–20. http://dx.doi.org/10.4018/jthi.2011040102.

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This paper identifies and highlights the significance of Wasta as a barrier to e-government implementation within The Hashemite Kingdom of Jordan and is part of a wider qualitative research study of all barriers. A longitudinal research approach was applied to explore any dynamism within the presence of barriers over a three year study, as well as to seek a richer understanding of such barriers. Data, principally collected via interviews with relevant stakeholders, was analysed using Strauss and Corbin’s variant of grounded theory. Using illustrative quotations primarily from interview transcripts, this paper enunciates the significant and persistent role that Wasta plays in hindering Jordan’s e-government implementation, both as an explicitly mentioned barrier and as cause of other barriers. The paper supports the view that culture is a root cause of e-government implementation difficulty, and that barriers vary with the different country settings in which e-government systems are embedded.
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Lakhaiyar, Sweta, and Mukta Mani. "Factors Influencing Adoption of Digital Payment Systems During COVID-19." International Journal of Sociotechnology and Knowledge Development 14, no. 1 (January 1, 2022): 1–21. http://dx.doi.org/10.4018/ijskd.315292.

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The digital payment system has many advantages over cash transactions. In India, the adoption of digital payment has increased during the COVID-19 pandemic, but still, the usage of cash is extremely high. This study attempts to determine the factors influencing the adoption of digital payment and the barriers to the adoption during COVID-19. Exploratory factor analysis has been carried out on primary data collected from 409 respondents using a closed-ended questionnaire. The study reveals efficiency parameters, perceived utility, social influence, and facilitating conditions as significant influencing factors. The barriers identified are technological barrier, value barrier, risk barrier, usage and image barriers. The digital payment industry may use the findings of this study to enhance the influencing factors and remove the barriers such as improving the performance and reducing the efforts of payment applications and providing better technology and increasing awareness about digital fraud.
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Singh, Naveen Kumar, and Pragati Singh. "IDENTIFYING CONSUMER RESISTANCE OF MOBILE PAYMENT DURING COVID-19: AN INTERPRETIVE STRUCTURAL MODELING (ISM) APPROACH." Business, Management and Economics Engineering 20, no. 02 (November 14, 2022): 258–85. http://dx.doi.org/10.3846/bmee.2022.16905.

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Purpose – Due to country-wise lockdown and state-wise curfews in COVID-19, people were not able to make offline payments (i.e. cash payments) during purchases in India. So, people are switching their payment behavior from offline to online mode. But, as per the central bank report, the rate of adoption through mobile payments is still slow. The paper focuses on identifying critical barriers to mobile payment systems (MPSs) adoption in India. Innovation resistance theory (IRT) has been used as a base model for barriers, despite the wide range of choices of barriers available in the MPSs context. Additionally, three external variables which are out of the wider coverage of IRT constructs were incorporated in this paper. The study, on the other hand, adds to innovation resistance theory in the frame of reference of MPSs from a theoretical perspective. Interpretive structural modeling (ISM), together with MICMAC analysis is brought into play to analyse the direct and indirect relationship amongst the barriers. Research methodology – ISM approach has been used to establish the relationship among the eight (08) identified barriers, through literature and expert opinions. The key barriers to high driving power are then identified with the help of MICMAC analysis. Findings – The results reveal that value barrier (b2), image barrier (b5) and visibility barrier (b7) are the most significant variables. Interestingly, IRTs’ risk barrier (b3) and privacy barrier (b6) from the literature fall in the lowest level of the ISM model. The majority of the barriers fall under quadrant III of MICMAC analysis, indicating the high driving and dependence power. Research limitations – The developed ISM model is based on the sentiments of five (05) experts, which could be biased and influence the structural model’s final output. Due to COVID-19, data has been collected through online video conferencing mode, this may vary if data will be collected through an offline or face-to-face interview. The proposed model’s key findings aim to assist in explaining the barriers that exist during MPS adoption. Originality/Value – This study is the first attempt to use the ISM approach in conjunction with IRT to detect barriers within MPSs. The result of this paper will guide and motivate the researcher to analyse more critical barriers with IRT to contribute to the theoretical development.
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Bagchi, Ann Dalton, and Tracy Davis. "Clinician Barriers and Facilitators to Routine HIV Testing: A Systematic Review of the Literature." Journal of the International Association of Providers of AIDS Care (JIAPAC) 19 (January 1, 2020): 232595822093601. http://dx.doi.org/10.1177/2325958220936014.

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Background: Routine HIV screening rates are suboptimal. Objectives: This systematic review identified barriers to/facilitators of routine HIV testing, categorized them using the socioecological model (SEM), and provided recommendations for interventions to increase screening. Data Sources: Included articles were indexed in PubMed, EBSCO CINAHL, Scopus, Web of Science, and the Cochrane Library between 2006 and October 2018. Eligibility Criteria: Included studies were published in English or Spanish and directly assessed providers’ barriers/facilitators to routine screening. Data Extraction: We used a standardized Excel template to extract barriers/facilitators and identify levels in the SEM. Data Synthesis: Intrapersonal factors predominated as barriers, while facilitators were directed at the institutional level. Limitations: Policy barriers are not universal across countries. Meta-analysis was not possible. We could not quantify frequency of any given barrier/facilitator. Conclusions: Increasing reimbursement and adding screening as a quality measure may incentivize HIV testing; however, many interventions would require little resource investment.
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Jonsdottir, Bjorg, Throstur Olaf Sigurjonsson, Lara Johannsdottir, and Stefan Wendt. "Barriers to Using ESG Data for Investment Decisions." Sustainability 14, no. 9 (April 25, 2022): 5157. http://dx.doi.org/10.3390/su14095157.

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Institutional investors who commit to integrating environmental, social and governance (ESG) aspects into investment decisions require ESG data of sufficient quality. However, concerns have risen over a lack of quality in ESG data, as outlined by the Global Reporting Initiative. The lack of quality in ESG data deters institutional investors from using the data for investment decisions. This study outlines the ESG data reporting process and explores where in the process quality concerns emerge. Semi-structured interviews are applied with professionals involved in ESG data analysis and reporting of listed companies, a rating agency and institutional investors. The results show that current barriers to using ESG data include a lack of materiality, accuracy and reliability. Interviewees agree that access to data collected by governmental institutions is lacking, and that companies’ purchase of carbon credits raise questions about the reliability of ESG data. Companies hold contrasting views to the institutional investors on the useability of the data they disclose. The results enhance our understanding of the common and contrasting concerns about the lack of quality in ESG data. The results can be used as guide for companies, investors and regulators for actions to mitigate barriers related to the lack of quality in ESG reporting.
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Jonsdottir, Bjorg, Throstur Olaf Sigurjonsson, Lara Johannsdottir, and Stefan Wendt. "Barriers to Using ESG Data for Investment Decisions." Sustainability 14, no. 9 (April 25, 2022): 5157. http://dx.doi.org/10.3390/su14095157.

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Institutional investors who commit to integrating environmental, social and governance (ESG) aspects into investment decisions require ESG data of sufficient quality. However, concerns have risen over a lack of quality in ESG data, as outlined by the Global Reporting Initiative. The lack of quality in ESG data deters institutional investors from using the data for investment decisions. This study outlines the ESG data reporting process and explores where in the process quality concerns emerge. Semi-structured interviews are applied with professionals involved in ESG data analysis and reporting of listed companies, a rating agency and institutional investors. The results show that current barriers to using ESG data include a lack of materiality, accuracy and reliability. Interviewees agree that access to data collected by governmental institutions is lacking, and that companies’ purchase of carbon credits raise questions about the reliability of ESG data. Companies hold contrasting views to the institutional investors on the useability of the data they disclose. The results enhance our understanding of the common and contrasting concerns about the lack of quality in ESG data. The results can be used as guide for companies, investors and regulators for actions to mitigate barriers related to the lack of quality in ESG reporting.
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Soylu, Ahmet, Óscar Corcho, Brian Elvesæter, Carlos Badenes-Olmedo, Francisco Yedro-Martínez, Matej Kovacic, Matej Posinkovic, et al. "Data Quality Barriers for Transparency in Public Procurement." Information 13, no. 2 (February 20, 2022): 99. http://dx.doi.org/10.3390/info13020099.

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Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major instrument in this respect by enabling public administrations, service providers, data journalists, transparency activists, and regular citizens to identify fraud or uncompetitive markets through connecting related, heterogeneous, and originally unconnected data sources. To this end, in this article, we present our experience in the case of Slovenia, where we successfully applied a number of anomaly detection techniques over a set of open disparate data sets integrated into a Knowledge Graph, including procurement, company, and spending data, through a linked data-based platform called TheyBuyForYou. We then report a set of guidelines for publishing high quality procurement data for better procurement analytics, since our experience has shown us that there are significant shortcomings in the quality of data being published. This article contributes to enhanced policy making by guiding public administrations at local, regional, and national levels on how to improve the way they publish and use procurement-related data; developing technologies and solutions that buyers in the public and private sectors can use and adapt to become more transparent, make markets more competitive, and reduce waste and fraud; and providing a Knowledge Graph, which is a data resource that is designed to facilitate integration across multiple data silos by showing how it adds context and domain knowledge to machine-learning-based procurement analytics.
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Ursic, H., and B. Custers. "Legal Barriers and Enablers to Big Data Reuse." European Data Protection Law Review 2, no. 2 (2016): 209–21. http://dx.doi.org/10.21552/edpl/2016/2/10.

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Herzog, Christian, Daniel Hook, and Stacy Konkiel. "Dimensions: Bringing down barriers between scientometricians and data." Quantitative Science Studies 1, no. 1 (February 2020): 387–95. http://dx.doi.org/10.1162/qss_a_00020.

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Until recently, comprehensive scientometrics data has been made available only in siloed, subscription-based tools that are inaccessible to researchers who lack institutional support and resources. As a result of limited data access, research evaluation practices have focused upon basic indicators that only take publications and their citation rates into account. This has blocked innovation on many fronts. Dimensions is a database that links and contextualizes different research information objects. It brings together data describing and linking awarded grants, clinical trials, patents, and policy documents, as well as altmetric information, alongside traditional publications and citations data. This article describes the approach that Digital Science is taking to support the scientometric community, together with the various Dimensions tools available to researchers who wish to use Dimensions data in their research at no cost.
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Strobl, J. "Data protection legislation: interpretation and barriers to research." BMJ 321, no. 7265 (October 7, 2000): 890–92. http://dx.doi.org/10.1136/bmj.321.7265.890.

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SCHNEIDER, MARY ELLEN. "Barriers to Sharing Data Between Systems Inhibit EHRs." Pediatric News 39, no. 6 (June 2005): 47. http://dx.doi.org/10.1016/s0031-398x(05)70326-x.

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Kumari, Raj, and Rajeev K. Puri. "Parametrization of fusion barriers based on empirical data." Nuclear Physics A 933 (January 2015): 135–42. http://dx.doi.org/10.1016/j.nuclphysa.2014.10.049.

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Štebe, Janez. "Examining barriers for establishing a national data service." IASSIST Quarterly 43, no. 4 (January 2, 2020): 1–14. http://dx.doi.org/10.29173/iq960.

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A system for monitoring the current situation of Data Archive Services (DAS) maturity in European countries was developed during the CESSDA Strengthening and Widening in (SaW 2016 and 2017) and further adapted in CESSDA Widening Activities 2018 (WA 2018) projects for continuous monitoring. An assessment of the existing national data sharing culture, the development of the social science sector and its production of high-quality research data, the funders’ research data policy requirements, and the capacity and skills of national grassroots initiatives, provide a framework for understanding the current situation in different countries. Methods used in the projects, included desk research of existing documents and a survey, combined with extensive interviews focused on the area of expertise of the informants (individuals from data services, research and decision makers’ representatives from each country). The focus of the paper is the situation in 20 non-member CESSDA European countries with emerging and immature DAS initiatives. Results show that countries are slowly but persistently removing the key obstacles in establishing a DAS initiative in their respective countries. The remaining obstacles reside mainly outside the control of the data professional community – namely research funders slowly adopt data sharing policies and incentives for data sharing, including the provision of a sustainable DAS infrastructure, capable of supporting researchers with publishing and accessing research data. The results show that the lack of expertise and skills of DAS initiatives, their understanding of tools and services or organizational settings are not such an issue, as more mature DAS are organising training and mentorship activities. Detailed guidance in the DAS advocacy and planning was prepared in the framework of the above-mentioned pan-European and some past regional projects. The tools and framework of those activities will be referred to in the discussions as a resource that can be used in other countries and continents.
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