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Статті в журналах з теми "Data sharing approach"
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Khusro, Ameer, and Chirom Aarti. "TB-PACTS: A fresh emphatic data sharing approach." Asian Pacific Journal of Tropical Disease 7, no. 2 (January 2017): 97–98. http://dx.doi.org/10.12980/apjtd.7.2017d6-357.
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Krumm, Andrew E., Jared Boyce, and Howard T. Everson. "A Collaborative Approach to Sharing Learner Event Data." Journal of Learning Analytics 8, no. 2 (September 3, 2021): 73–82. http://dx.doi.org/10.18608/jla.2021.7375.
Повний текст джерелаАнотація:
This paper describes a collaboration organized around exchanging data between two technological systems to support teachers’ instructional decision-making. The goals of the collaboration among researchers, technology developers, and practitioners were not only to support teachers’ instructional decision-making but also to document the challenges and opportunities associated with bringing together data from instruction- and assessment-focused technologies. The approach described in this paper illustrates the potential importance of anchoring data products that combine data between two systems in the needs of teachers as well as aligning the content that students learn and are assessed on between systems. The increasing presence of data standards has made sharing complex data increasingly more feasible. The example collaboration described in this paper demonstrates the role that non-technical activities can play in supporting the exchange and use of learner event data.
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Khan, Huda, Brian Caruso, Jon Corson-Rikert, Dianne Dietrich, Brian Lowe, and Gail Steinhart. "DataStaR: Using the Semantic Web approach for Data Curation." International Journal of Digital Curation 6, no. 2 (July 25, 2011): 209–21. http://dx.doi.org/10.2218/ijdc.v6i2.197.
Повний текст джерелаАнотація:
In disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data in digital forms and providing the digital infrastructure for sharing data and metadata pose several challenges. This paper reviews the motivations behind and design of the Data Staging Repository (DataStaR) platform that targets specific portions of the research data curation lifecycle: data and metadata capture and sharing prior to publication, and publication to permanent archival repositories. The goal of DataStaR is to support both the sharing and publishing of data while at the same time enabling metadata creation without imposing additional overheads for researchers and librarians. Furthermore, DataStaR is intended to provide cross-disciplinary support by being able to integrate different domain-specific metadata schemas according to researchers’ needs. DataStaR’s strategy of a usable interface coupled with metadata flexibility allows for a more scaleable solution for data sharing, publication, and metadata reuse.
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Ma, Xinwei, Ruiming Cao, and Yuchuan Jin. "Spatiotemporal Clustering Analysis of Bicycle Sharing System with Data Mining Approach." Information 10, no. 5 (May 2, 2019): 163. http://dx.doi.org/10.3390/info10050163.
Повний текст джерелаАнотація:
The main objective of this study is to explore the spatiotemporal activities pattern of bicycle sharing system by combining together temporal and spatial attributes variables through clustering analysis method. Specifically, three clustering algorithms, i.e., hierarchical clustering, K-means clustering, expectation maximization clustering, are chosen to group the bicycle sharing stations. The temporal attributes variables are obtained through the statistical analysis of bicycle sharing smart card data, and the spatial attributes variables are quantified by point of interest (POI) data around bicycle sharing docking stations, which reflects the influence of land use on bicycle sharing system. According to the performance of the three clustering algorithms and six cluster validation measures, K-means clustering has been proven as the better clustering algorithm for the case of Ningbo, China. Then, the 477 bicycle sharing docking stations were clustered into seven clusters. The results show that the stations of each cluster have their own unique spatiotemporal activities pattern influenced by people’s travel habits and land use characteristics around the stations. This analysis will help bicycle sharing operators better understand the system usage and learn how to improve the service quality of the existing system.
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Giuliani, Gregory, Nicolas Ray, Stefan Schwarzer, Andrea De Bono, Pascal Peduzzi, Hy Dao, Jaap Van Woerden, Ron Witt, Martin Beniston, and Anthony Lehmann. "Sharing Environmental Data through GEOSS." International Journal of Applied Geospatial Research 2, no. 1 (January 2011): 1–17. http://dx.doi.org/10.4018/jagr.2011010101.
Повний текст джерелаАнотація:
Understanding the complexity of earth-system processes is crucial to convey improved information on the environment to decision-makers and the general public. Addressing this need by sharing environmental data is challenging because it requires a common agreed framework that allows easy and seamless integration of data from different sources. In this regard, the Global Earth Observation System of Systems (GEOSS) portends major benefits through various sharing mechanisms and by giving access to services that could be linked together to process and generate new understandable knowledge and information. Various United Nations projects could greatly benefit from the GEOSS approach.
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Dueker, Kenneth, J. Allison Butler, Paul Bender, and Jihong Zhang. "Clearinghouse Approach to Sharing Geographic Information Systems-Transportation Data." Transportation Research Record: Journal of the Transportation Research Board 1768, no. 1 (January 2001): 203–9. http://dx.doi.org/10.3141/1768-24.
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Krishna, Prof B. S. Vamsi, and Bingi Anu Reshma. "A Novel Approach for Sharing Encrypted Data Over Cloud." IJARCCE 6, no. 5 (May 30, 2017): 771–77. http://dx.doi.org/10.17148/ijarcce.2017.65146.
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Miller, Katherine E., and Simon M. Lin. "Addressing a patient-controlled approach for genomic data sharing." Genetics in Medicine 19, no. 11 (April 20, 2017): 1280–81. http://dx.doi.org/10.1038/gim.2017.36.
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Resende, João S., Luís Magalhães, André Brandão, Rolando Martins, and Luís Antunes. "Towards a Modular On-Premise Approach for Data Sharing." Sensors 21, no. 17 (August 28, 2021): 5805. http://dx.doi.org/10.3390/s21175805.
Повний текст джерелаАнотація:
The growing demand for everyday data insights drives the pursuit of more sophisticated infrastructures and artificial intelligence algorithms. When combined with the growing number of interconnected devices, this originates concerns about scalability and privacy. The main problem is that devices can detect the environment and generate large volumes of possibly identifiable data. Public cloud-based technologies have been proposed as a solution, due to their high availability and low entry costs. However, there are growing concerns regarding data privacy, especially with the introduction of the new General Data Protection Regulation, due to the inherent lack of control caused by using off-premise computational resources on which public cloud belongs. Users have no control over the data uploaded to such services as the cloud, which increases the uncontrolled distribution of information to third parties. This work aims to provide a modular approach that uses cloud-of-clouds to store persistent data and reduce upfront costs while allowing information to remain private and under users’ control. In addition to storage, this work also extends focus on usability modules that enable data sharing. Any user can securely share and analyze/compute the uploaded data using private computing without revealing private data. This private computation can be training machine learning (ML) models. To achieve this, we use a combination of state-of-the-art technologies, such as MultiParty Computation (MPC) and K-anonymization to produce a complete system with intrinsic privacy properties.
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Bender, Stefam, and Jorg Heining. "The Research-Data-Centre in Research-Data-Centre Approach: A First Step Towards Decentralised International Data Sharing." IASSIST Quarterly 35, no. 3 (January 31, 2012): 10. http://dx.doi.org/10.29173/iq119.
Повний текст джерелаДисертації з теми "Data sharing approach"
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Slocumb, Calvin D. "Common data sharing system infrastructure : an object-oriented approach /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304500.
Повний текст джерелаАнотація:
Thesis (M.S. in Systems Technology (Joint Command, Control, Communications, Computers, and Intelligence Systems) Naval Postgraduate School, June 1995."June 1995." Thesis advisor(s): Orin E. Marvel. Includes bibliographical references. Also available online.
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Tbahriti, Salah Eddine. "Web services oriented approach for privacy-preserving data sharing." Thesis, Lyon 1, 2012. http://www.theses.fr/2012LYO10253.
Повний текст джерелаАнотація:
Bien que la technologie de composition de services Web soit considérée comme l’une des technologies les plus prometteuses pour l’intégration des sources de données hétérogènes et multiples ainsi que pour la réalisation d’opérations complexes, la question de la protection des données personnelles demeure l’une des préoccupation majeure liés à cette technologie. Ainsi, lors d’un processus de composition, l’échange de données entre toutes les entités – tels que, les services Web recueillant et fournissant des données, les individus dont les données peuvent être fournies et gérées par les services Web, les systèmes qui composent les services Web et les clients finaux des services – est une étape nécessaire et indispensable pour répondre à des requêtes complexes. En conséquence, des données personnelles sont échangées et manipulées entre toutes les entités du système. Notre objectif dans cette thèse est la conception et le développement d’un cadre permettant d’améliorer la composition des services Web avec des mécanismes de protection des données personnelles. Pour atteindre cet objectif, nous avons proposé une approche générale composée de trois éléments. Premièrement, nous avons proposé un modèle formel de confidentialité pour permettre aux services Web de décrire leurs contraintes de confidentialité liées aux données personnelles. Notre modèle permet une spécification des contraintes de confidentialité relative non seulement au niveau des données manipulées, mais aussi au niveau des opérations invoquées par les services. Deuxièmement, nous développons un algorithme de compatibilité qui permet de vérifier formellement la compatibilité entre les exigences et les politiques de confidentialité de tous les services lors d’un processus de composition. Troisièmement, dans le cas où certains services dans la composition sont incompatibles par rapport à leur spécification de confidentialité, nous avons introduit une nouvelle approche basée sur un modèle de négociation dans la perspective de trouver une composition compatible (c’est-à-dire, d’obtenir la compatibilité de toutes les spécifications de confidentialité des services impliqués dans la composition). Enfin, nous avons mis en œuvre les techniques présentées dans cette thèse au sein du prototype PAIRSE et mené une étude de performance sur les algorithmes proposésWhile Web service composition technologies have been beneficial to the integration of a wealth of information sources and the realization of complex and personalized operations, the issue of privacy is considered by many as a major concern in services computing. Central to the development of the composition process is the exchange of sensitive and private data between all parties: Web services collecting and providing data, individuals whose data may be provided and managed by Web services, systems composing Web service to answer complex queries, and requesters. As a consequence, managing privacy between all parties of the system is far from being an easy task. Our goal in this thesis is to build the foundations of an integrated framework to enhance Web service composition with privacy protection capabilities. To this aim, we firstly propose a formal privacy model to allow Web services to describe their privacy specifications. Our privacy model goes beyond traditional data-oriented models by dealing with privacy not only at the data level but also service level. Secondly, we develop a compatibility-matching algorithm to check privacy compatibility between privacy requirements and policies within a composition. Thirdly, in the case where some services in the composition are incompatible regarding their privacy specifications, we introduce a novel approach based on a negotiation model to reach compatibility of concerned services (i.e. services that participate in a composition which are incompatible). Finally, we conduct an extensive performance study of the proposed algorithms. The techniques presented in this dissertation are implemented in PAIRSE prototype
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Molema, Karabo Omphile. "The conflict of interest between data sharing and data privacy : a middleware approach." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2415.
Повний текст джерелаАнотація:
Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.People who are referred to as data owners in this study, use the Internet for various purposes and one of those is using online services like Gmail, Facebook, Twitter and so on. These online services are offered by organizations which are referred to as data controllers. When data owners use these service provided by data controllers they usually have to agree to the terms and conditions which gives data controllers indemnity against any privacy issues that may be raised by the data owner. Data controllers are then free to share that data with any other organizations, referred to as third parties. Though data controllers are protected from lawsuits it does not necessarily mean they are free of any act that may be considered a privacy violation by the data owner. This thesis aims to arrive at a design proposition using the design science research paradigm for a middleware extension, specifically focused on the Tomcat server which is a servlet engine running on the JVM. The design proposition proposes a client side annotation based API to be used by developers to specify classes which will carry data outside the scope of the data controller's system to a third party system, the specified classes will then have code weaved in that will communicate with a Privacy Engine component that will determine based on data owner's preferences if their data should be shared or not. The output of this study is a privacy enhancing platform that comprises of three components the client side annotation based API used by developers, an extension to Tomcat and finally a Privacy Engine.
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Garza, Gutierrez Kristian. "Facilitating data sharing : a design approach to incorporate context into the research data repository." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/facilitating-data-sharing-a-design-approach-to-incorporate-context-into-the-research-data-repository(3cecddc6-e51e-4263-84f1-08675cb7c9ed).html.
Повний текст джерелаАнотація:
We asked whether the design of a Science Data Repository (SDR) can influence data sharing behaviour in small scientific collaborations. We hypothesised that an SDR can influence data-sharing behaviour when its design considers the context of data-sharing. We proposed an alternative approach to those documented in the literature, employing a combination of socio-technical empirical and analytical methods for context capturing, and choice architecture for context incorporation. To evaluate the approach we applied it to design features in a Scientific Data Repository for a population of small scientific collaborations within the Life Sciences. The application of this thesis' approach consisted of an exploratory case study, a review of factors associated with data sharing, the definition of design claims, and implementation of a set of design features. We collected data using interviews with members of the collaborations and designers of the SDR; as well as obtaining the data-logs from the collaborations' SDR. We evaluated the resulting design features using an asynchronous web experiment. We found that using the empirical approach to context capturing we are able to effectively identify factors associated with data sharing in the small scientific collaborations. Moreover, we identified a number of limitations on the application of the analytical approach to context capturing. Furthermore, we found that the Choice Architecture based procedure for context incorporation can define effective design features in Science Data Repositories. In this work, we show that we can facilitate data-sharing by incorporating context into the design of a Science Data Repository, and identified a set of restrictions to use our approach. The approach proposed in this thesis can be used by practitioners wishing to improve data sharing in an SDR. Contributions, such as the survey of factors associated with data sharing behaviour, can be used by researchers to understand the problems associated with data sharing in small scientific collaborations.
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Vu, Xuan Truong. "User-centered and group-based approach for social data filtering and sharing." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2179/document.
Повний текст джерелаАнотація:
Les médias sociaux occupent un rôle grandissant dans de nombreux domaines de notre vie quotidienne. Parmi d'autres, les réseaux sociaux tels que Facebook, Twitter, LinkedIn et Google+ dont la popularité a explosé ces dernières années, attirent des millions d'utilisateurs qui se communiquent, publient et partagent des informations et contenus à un rythme sans précédent. Outre les avantages reconnus, les réseaux sociaux ont également soulevé des problèmes divers. Nous sommes particulièrement intéressés par deux problèmes spécifiques : surcharge d'information et cloisonnement de données. Ces deux problèmes empêchent les utilisateurs d'exploiter pleinement et efficacement la richesse des informations poussées sur les réseaux sociaux. Les utilisateurs ont des difficultés pour filtrer tous les contenus reus, pour découvrir de nouveaux contenus au-delà de leurs réseaux personnels, et surtout pour partager les contenus intéressants avec leurs différents groupes d'intérêt. Pour aider les utilisateurs à surmonter ces difficultés, nous proposons une Approche centrée sur utilisateur et basée groupe pour filtrer et partager des données sociales. Cette nouvelle approche a un double objectif : (1) permettre aux utilisateurs d'agréger leurs données sociales en provenance de différents réseaux sociaux, d'en extraire des contenus de leur intérêt et (2) organiser et partager les contenus au sein de différents groupes. Les membres d'un groupe sont en outre en mesure de choisir quelle partie de leurs données à partager avec le groupe et définir collectivement les sujets d’intérêt de ce dernier. Pour implémenter l'approche proposée, nous spécifions une architecture de système comprenant plusieurs modules extensibles, et nous développons un prototype fonctionnel basé Web, appelé SoCoSys. Les résultats expérimentaux, obtenus des deux tests différents, valident les valeurs ajoutées de notre approcheThe social media have played an increasingly important role in many areas of our every day life. Among others, social network sites such as Facebook, LinkedIn, Twitter and Google+ have recently exploded in popularity by attracting millions of users, who communicate with each other, share and publish information and contents at an unprecedented rate. Besides the recognized advantages, social network sites have also raised various issues and challenges. We are particularly interested in two of them, information overload and "walled gardens". These two problems prevent the users from fully and efficiently exploiting thewealth of information available on social network sites. The users have difficulties to filter all incoming contents, to discover additional contents from outside of their friend circles, and importantly to share interesting contents with their different groups of interest. For helping the users to overcome such difficulties, we propose a User-centered and group- based approach for social data filtering and sharing. This novel approach has a twofold purpose : (1) allow the users to aggregate their social data from different social network sites, and to extract from those data the contents of their interest, and (2) organize and share the contents within different groups. The members of a group are moreover able to choose which part of their social data to share with the group, and collectively define its topics of interest. To achieve the proposed approach, we define a modular system architecture including a number of extensible modules, and accordingly build a working Web-based prototype, called SoCoSys. The experimental results, obtained from the two different tests, confirm the added values of our approach
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Peng, Peng. "A Measurement Approach to Understanding the Data Flow of Phishing From Attacker and Defender Perspectives." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/96401.
Повний текст джерелаАнотація:
Phishing has been a big concern due to its active roles in recent data breaches and state- sponsored attacks. While existing works have extensively analyzed phishing websites and detection methods, there is still a limited understanding of the data flow of the phishing process. In this thesis, we perform an empirical measurement to draw a clear picture of the data flow of phishing from both attacker and defender perspectives. First, from attackers' perspective, we want to know how attackers collect the sensitive information stolen from victims throughout the end-to-end phishing attack process. So we collected more than 179,000 real-world phishing URLs. Then we build a measurement tool to feed fake credentials to live phishing sites and monitor how the credential information is shared with the phishing server and potentially third-party collectors on the client side. Besides, we also obtain phishing kits to analyze how credentials are sent to attackers and third-parties on the server side. Then, from defenders' perspective, online scan engines such as VirusTotal are heavily used by phishing defenders to label phishing URLs, however, the data flow behind phishing detection by those scan engines is still unclear. So we build our own phishing websites, submit them to VirusTotal for scanning, to understand how VirusTotal works and the quality of its labels. Our study reveals the key mechanisms for information sharing during phishing attacks and the need for developing more rigorous methodologies to assess and make use of the labels obtained from VirusTotal.Master of Science
Phishing attack is the fraudulent attempt to lure the target users to give away sensitive information such as usernames, passwords and credit card details. Cybercriminals usually build phishing websites (mimicking a trustworthy entity), and trick users to reveal important credentials. However, the data flow of phishing process is still unclear. From attackers' per- spective, we want to know how attackers collect the sensitive information stolen by phishing websites. On the other hand, from defenders' perspective, we are trying to figure out how online scan engines (e.g., VirusTotal) detect phishing URLs and how reliable their detection results are. In this thesis, we perform an empirical measurement to help answer the two questions above. By monitoring and analyzing a large number of real-world phishing websites, we draw a clear picture of the credential sharing process during phishing attacks. Also, by building our own phishing websites and submitting to VirusTotal for scanning, we find that more rigorous methodologies to use VirusTotal labels are desperately needed.
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Reda, Roberto. "A Semantic Web approach to ontology-based system: integrating, sharing and analysing IoT health and fitness data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14645/.
Повний текст джерелаАнотація:
With the rapid development of fitness industry, Internet of Things (IoT) technology is becoming one of the most popular trends for the health and fitness areas. IoT technologies have revolutionised the fitness and the sport industry by giving users the ability to monitor their health status and keep track of their training sessions. More and more sophisticated wearable devices, fitness trackers, smart watches and health mobile applications will appear in the near future. These systems do collect data non-stop from sensors and upload them to the Cloud. However, from a data-centric perspective the landscape of IoT fitness devices and wellness appliances is characterised by a plethora of representation and serialisation formats. The high heterogeneity of IoT data representations and the lack of common accepted standards, keep data isolated within each single system, preventing users and health professionals from having an integrated view of the various information collected. Moreover, in order to fully exploit the potential of the large amounts of data, it is also necessary to enable advanced analytics over it, thus achieving actionable knowledge. Therefore, due the above situation, the aim of this thesis project is to design and implement an ontology based system to (1) allow data interoperability among heterogeneous IoT fitness and wellness devices, (2) facilitate the integration and the sharing of information and (3) enable advanced analytics over the collected data (Cognitive Computing). The novelty of the proposed solution lies in exploiting Semantic Web technologies to formally describe the meaning of the data collected by the IoT devices and define a common communication strategy for information representation and exchange.
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Ruokamo, S. (Simo). "Single shared model approach for building information modelling." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526223704.
Повний текст джерелаАнотація:
Abstract The current practice for information sharing with building information modelling (BIM) is distributed data sharing based on conversions. Conversions are problematic due to data loss, redundancy, and conflicting information. The hypotheses of this research were that i) a conversion-free data exchange is a feasible approach for BIM, ii) benefits can be achieved with a conversion-free information sharing, and iii) no impediment in principle exists for wider industrial use. The use of a single data schema by all applications is a requisite for a conversion-free data collaboration. For enabling the free evolution of the data content, a version free data schema is necessary. A model arrangement implementing partial models is needed for the growing size of models. A single shared model approach eliminates data conflicts and duplicates. For the best availability, the location for the shared model should be on a cloud service. Accessing the cloud model only through a web service, which encapsulates all model handling functionality, will ensure data integration and validity. The validity of IT solutions can only be confirmed with real software. For testing the conversion-free BIM method, a software development kit (SDK) with required functionality was programmed. Three applications and a cloud service for handling the shared model were developed with the help of SDK. In the experiments, Leonardo application was used for modelling walls, 3DTrussme for trusses, and Viewer for viewing the model. All applications were using the same shared model on the cloud. In the experimental test, the information exchange occurred without conversions, and all the data were saved only once on the cloud database. Without conversions, less conflicts and redundancies occurred, which lead to better data integrity and integration. Using SDK, there was no technical barrier for applications to join the single shared model ecosystem, but a drawback was that existing BIM programs are not compatible without remarkable changes. The performance was acceptable in the test run, but in real use, the size of the model and the number of applications and users will be much larger. However, a conversion-free single shared model approach can be a possible trend to the next generation BIM as well as a potential alternative for current data sharing methods using distributed files, conversions, and linked dataTiivistelmä Rakentamisen tietomallinnuksen (BIM) nykyisenä tiedonjakamisen käytäntönä on hajautettu tietojärjestelmä, joka perustuu konversioihin. Konversiot ovat ongelmallisia tiedon häviämisen, ristiriitojen ja päällekkäisyyksien vuoksi. Tämän tutkimuksen hypoteesit olivat: i) konversiovapaa tiedonjakaminen on mahdollista, ii) etuja on saavutettavissa ilman konversioita tapahtuvassa tiedonsiirrossa ja iii) laajemmalle teolliselle käytölle ei ole periaatteellisia esteitä. Konversiovapaa tiedon jakaminen edellyttää yhden dataformaatin käyttöä. Alati kasvavien tietomallien koko vaatii tiedon järjestämismenetelmän, joko mahdollistaa osamallit. Datan ristiriidat ja päällekkäisyydet voidaan estää yhden jaetun mallin menetelmällä. Informaatio on parhaiten kaikkien osapuolien saatavilla, kun jaettu malli sijoitetaan pilvipalveluun. Kun tietomallia käsitellään vain web-palvelun rajapintafunktioilla, tiedon eheys ja kelpoisuus säilyvät. Tietoteknisten ratkaisujen kelpoisuus voidaan viime kädessä osoittaa vain toimivilla ohjelmistoilla. Konversiovapaan menetelmän testausta varten kehitettiin vaadittavat ominaisuudet sisältävä ohjelmistokehityspaketti (SDK), joka on edellytys sovellusten yhteensopivuudelle. Kolme sovellusta eli 3DTrussme, Leonardo ja Viewer ohjelmoitiin SDK:n avulla. Ohjelmointirajapinta sisälsi tarvittavat toiminnallisuudet tiedonjakamiseen, ja se toteutettiin pilvipalveluna. Testiajossa Leonardo-sovelluksella mallinnettiin seinät, 3DTrussmellä suunniteltiin naulalevyristikot ja Viewer-sovelluksella tarkasteltiin mallia. Kaikki kolme sovellusta käyttivät samaa jaettua mallia pilvipalvelussa. Suoritetussa testissä kaikki informaatio jaettiin ilman konversioita ja tallennettiin vain kerran. Ilman konversioita ja päällekkäisyyksiä saavutettiin parempi datan eheys ja integraatio. SDK:n avulla uudet sovellukset pystyivät liittymään yhden jaetun mallin ekosysteemiin ilman teknisiä esteitä. Toisaalta, ilman merkittäviä muutoksia nykyiset BIM sovellukset eivät ole yhteensopivia. Testiajossa suorituskyky oli hyväksyttävä, mutta todellisuudessa mallien koko sekä sovellusten ja käyttäjien lukumäärä ovat paljon suurempia. Tutkimus osoitti, että konversiovapaa yhden jaetun mallin menetelmä voi olla seuraava BIM-kehityssuunta ja vaihtoehto nykyisille tiedonsiirtoratkaisuille, jotka käyttävät erillisiä tiedostoja, konversioita ja linkkejä
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Francq, Pascal. "Structured and collaborative search: an integrated approach to share documents among users." Doctoral thesis, Universite Libre de Bruxelles, 2003. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211315.
Повний текст джерелаАнотація:
Aujourd'hui, la gestion des documents est l'un des problèmes les plus importants en informatique. L'objectif de cette thèse est de proposer un système de gestion documentaire basé sur une approche appelée recherche structurée et collaborative. Les caractéristiques essentielles sont :
Dès lors que les utilisateurs ont plusieurs centres d'intérêts, ils sont décrits par des profils, un profil correspondant à un centre d'intérêt particulier. C'est la partie structurée du système.
Pour construire une description des profils, les utilisateurs jugent des documents en fonction de leur intérêt
Le système regroupe les profils similaires pour former un certain nombre de communautés virtuelles
Une fois les communautés virtuelles définies, des documents jugés comme intéressants par certains utilisateurs d'une communauté peuvent être partagés dans toute la communauté. C'est la partie collaborative du système.
Le système a été validé sur plusieurs corpora de documents en utilisant une méthodologie précise et offre des résultats prometteurs.
Doctorat en sciences appliquées
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Даценко, Сергій Олександрович. "Програмні засоби підвищення продуктивності роботи СУБД MongoDB". Master's thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/26713.
Повний текст джерелаАнотація:
Актуальність теми.
На сьогоднішній день MongoDB є СУБД, що часто використовується при розробці систем, орієнтованих на обробку слабко структурованих даних. Однією з причин цього є можливість використання горизонтального масштабування (шардингу) та налаштування розподілу даних, що значною мірою впливає на продуктивність роботи системи в цілому.
Тому були розроблені різні стратегії розподілу даних в кластері, такі як: стратегія палаючого будинку, стратегія гарячих точок тощо. Дані стратегії мають свої сфери застосування, свої переваги та недоліки, але загальним недоліком даних стратегій є нерівномірний розподіл даних при наявності так званих «джамбо-чанків», що в свою чергу впливає на продуктивність роботи системи.
Об’єктом дослідження є розподіл даних між серверами в кластері MongoDB.
Предметом дослідження є програмні засоби для підвищення продуктивності роботи СУБД MongoDB, які призначені для налаштування розподілу даних відповідно до допустимих відсоткових навантажень вузлів кластера, враховуючи вплив «джамбо-чанків».
Мета роботи: підвищення продуктивності роботи СУБД MongoDB.
Наукова новизна:
1. Запропоновано підхід розподілу даних, який включає в себе ідеї існуючих підходів та, на відміну від існуючих підходів, при розподілі даних враховує можливість наявності «джамбо-чанків».
2. Виконано порівняльний аналіз запропонованого підходу з існуючими, визначено в яких саме ситуаціях потрібно використовувати даний підхід, його переваги та недоліки порівняно з існуючими підходами розподілу даних.
Практична цінність отриманих в роботі результатів полягає в тому, що запропонований підхід надає можливість налаштування розподілу даних відповідно до допустимих відсоткових навантажень вузлів кластера, враховуючи вплив «джамбо-чанків». Крім того розроблені в роботі програмні засоби можуть бути використані для реалізації автоматизованого розподілу даних з заданими налаштуваннями.
Апробація роботи. Запропонований підхід був представлений та обговорений на науковій конференції магістрантів та аспірантів «Прикладна математика та комп‘ютинг» ПМК-2018 (Київ, 14 - 16 листопада 2018 р.) та на V Міжнародній науково-технічній Internet-конференції «Сучасні методи, інформаційне, програмне та технічне забезпечення систем керування організаційно-технічними та технологічними комплексами», яка проводилась 22 листопада 2018 р. у Національному університеті харчових технологій.
Структура та обсяг роботи. Магістерська дисертація складається з вступу, чотирьох розділів та висновків.
У вступі подано загальну характеристику роботи, зроблено оцінку сучасного стану проблеми, обґрунтовано актуальність напрямку досліджень, сформульовано мету і задачі досліджень, показано наукову новизну отриманих результатів.
У першому розділі розглянуто існуючі підходи розподілу даних, їхні особливості, недоліки та переваги, розглянуто різні реалізації.
У другому розділі запропоновано підхід розподілу даних який буде вирішувати виявлену проблему.
У третьому розділі наведені алгоритмічні особливості реалізації розроблених програмних засобів для реалізації запропонованого підходу.
У четвертому розділі представлено результати тестування запропонованого підходу.
У висновках представлені результати проведеної роботи.
Магістерська дисертація представлена на 80 аркушах, містить посилання на список використаних літературних джерел.Actuality of theme. To date, MongoDB is a database, often used in the development of systems focused on the processing of poorly structured data. One reason for this is the ability to use horizontal scaling (shading) and data distribution settings, which greatly affects the performance of the system as a whole. Therefore, various strategies for data splitting in the cluster were developed, such as: a burning house strategy, hot spots strategy, and so on. These strategies have their own applications, their advantages and disadvantages, but the general disadvantage of these strategies is the uneven distribution of data in the presence of so-called "jumbo chunk", which in turn affects the performance of the system. The object of the study is the distribution of data between servers in the MongoDB cluster. The subject of the study is software tools to improve the performance of the MongoDB database, which are designed to configure the distribution of data in accordance with the permissible percentage loads of nodes of the cluster, taking into account the influence of "jumbo chunks". The purpose of the work: to increase the productivity of the DBMS MongoDB. Scientific novelty: 1. A data-sharing approach is proposed that incorporates the ideas of existing approaches and, unlike existing approaches, takes into account the possibility of having "jumbo chunks" when distributing data. 2. A comparative analysis of the proposed approach with existing ones is made, it is determined in what situations it is necessary to use this approach of approach, its advantages and disadvantages in comparison with existing approaches of data distribution. The practical value of the results obtained in the work is that the proposed approach provides the possibility of adjusting the distribution of data in accordance with the permissible percentages of nodes of the cluster, taking into account the influence of "jumbo chunks". In addition, the software developed in the work can be used to implement automated data distribution with the specified settings. Test work. The proposed approach was presented and discussed at the scientific conference of undergraduates and postgraduates "Applied Mathematics and Computing", PMK-2018 (Kyiv, November 14-16, 2018) and at the V International Scientific and Technical Internet Conference "Modern Methods, Information, software and technical support of control systems for organizational, technical and technological complexes", held on November 22, 2018 at the National University of Food Technologies. Structure and scope of work. The master's thesis consists of an introduction, four chapters and conclusions. The introduction gives a general description of the work, assesses the current state of the problem, substantiates the relevance of the research direction, formulates the purpose and objectives of the research, shows the scientific novelty of the results obtained. The first chapter examines the existing approaches to data distribution, their features, disadvantages and advantages, and discusses different implementations. The second chapter proposes a data-sharing approach that addresses the problem identified. The third chapter, algorithmic features of implementation of the developed software tools for implementation of the proposed approach are presented. The fourth chapter presents the results of testing the proposed approach. The conclusions are the results of the work. The master's dissertation is presented on 80 sheets, contains a link to the list of used literary sources.
Актуальность темы. На сегодняшний день MongoDB является СУБД, которая часто используется при разработке систем, ориентированных на обработку слабо структурированных данных. Одной из причин этого является возможность использования горизонтального масштабирования (шардингу) и настройки распределения данных, что в значительной мере влияет на производительность работы системы в целом. Поэтому были разработаны различные стратегии распределения данных в кластере, такие как: стратегия горящего дома, стратегия горячих точек и тому подобное. Данные стратегии имеют свои области применения, свои преимущества и недостатки, но общим недостатком данных стратегий является неравномерное распределение данных при наличии так называемых «джамбо-чанков», что в свою очередь влияет на производительность работы системы. Объектом исследования является распределение данных между серверами в кластере MongoDB. Предметом исследования являются программные средства для повышения производительности работы СУБД MongoDB, которые предназначены для настройки распределения данных в соответствии с допустимых процентных нагрузок узлов кластера, учитывая влияние «джамбо-чанков». Цель работы: повышение производительности работы СУБД MongoDB. Научная новизна: 1. Предложен подход распределения данных, который включает в себя идеи существующих подходов и, в отличие от существующих подходов, при распределении данных учитывает возможность наличия «джамбо-чанков». 2. Выполнен сравнительный анализ предложенного подхода с существующими, определено в каких именно ситуациях нужно использовать данный подход, его преимущества и недостатки по сравнению с существующими подходами распределения данных. Практическая ценность полученных в работе результатов заключается в том, что предложенный подход предоставляет возможность настройки распределения данных в соответствии с допустимыми процентных нагрузками узлов кластера, учитывая влияние «джамбо-чанков». Кроме того разработанные в работе программные средства могут быть использованы для реализации автоматизированного распределения данных с заданными настройками. Апробация работы. Предложенный подход был представлен и обсужден на научной конференции магистрантов и аспирантов «Прикладная математика и компьютинг» ПМК-2018 (Киев, 14 - 16 ноября 2018) и на V Международной научно-технической Internet-конференции «Современные методы, информационное, программное и техническое обеспечение систем управления организационно-техническими и технологическими комплексами», которая проводилась 22 ноября 2018 в Национальном университете пищевых технологий. Структура и объем работы. Магистерская диссертация состоит из введения, четырех глав и выводов. Во введении представлена общая характеристика работы, произведена оценка современного состояния проблемы, обоснована актуальность направления исследований, сформулированы цели и задачи исследований, показано научную новизну полученных результатов. В первой главе рассмотрены существующие подходы распределения данных, их особенности, недостатки и преимущества, рассмотрены различные реализации. Во втором разделе предложено подход распределения данных который будет решать обнаруженную проблему. В третьем разделе приведены алгоритмические особенности реализации разработанных программных средств для реализации предложенного подхода. В четвертом разделе представлены результаты тестирования предложенного подхода. В выводах представлены результаты проведенной работы. Магистерская диссертация представлена на 80 листах, содержит ссылки на список использованных литературных источников.
Книги з теми "Data sharing approach"
1
Re-engineering Education Data Sharing Team. Re-engineering education data sharing (elementary and secondary education): A proposed approach. [Ontario: s.n., 1994.
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2
Police information sharing: All-crimes approach to homeland security. El Paso, Tex: LFB Scholarly Pub., 2008.
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3
Tang, Haixu, and Xiaoqian Jiang. Responsible Genomic Data Sharing: Challenges and Approaches. Elsevier Science & Technology Books, 2020.
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4
Tang, Haixu, and Xiaoqian Jiang. Responsible Genomic Data Sharing: Challenges and Approaches. Elsevier Science & Technology, 2020.
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5
Brown, Matthew A., and John Reveille. Genetics of spondyloarthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0005.
Повний текст джерелаАнотація:
In addition to sharing clinical, histopathological, and immunological features, spondyloarthritis (SpA) encompasses a group of diseases that are genetically linked through shared associations with HLA-B27, as well as other genes of the IL-23R and aminopeptidase groups. Great progress has been made since the development of the genome-wide association study approach, with better dissection of the HLA associations of this group of diseases, as well as the discovery of multiple genetic loci found outside of the major histocompatibility complex, in ankylosing spondylitis (AS) in particular. These genetic data shed light on the related pathogenesis of AS and psoriatic arthritis (PsA), inflammatory bowel disease (IBD)-related arthritis, and reactive arthritis (ReA). Genetic associations also strengthen the suggestive data that Behçet’s disease (BD) and Familial Mediterranean Fever (FMF) are related to the more classical forms of SpA.
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Taylor, Sarah McFarland. Ecopiety. NYU Press, 2019. http://dx.doi.org/10.18574/nyu/9781479810765.001.0001.
Повний текст джерелаАнотація:
This bookanalyzes diverse representations of environmental moral engagement in contemporary mediated popular culture. It identifies and explores intertwining, co-constitutive, yet contrary stories of what the author terms “ecopiety” and “consumopiety” as they flow across multiple media platforms. The way these stories compete and conflict, vying for space as contested narratives in the public imagination, constitutes a central inquiry of the book. Drawing together theoretical insights from cultural studies, media studies, environmental humanities, and religious studies, the book offers a critical reading of primary source data drawn from such areas as the marketing of green consumer products, “greenwashed” corporate advertising, environmental mobile device applications, eco-themed reality television, the marketing of eco-funerals, Internet sharing of environmental tattoos, “green” fashion guides, and the media strategies of green hiphop activism. Taylor makes the case that a detailed, multichannel, cross-platform approach to cultural analysis is critical to understanding the kind of important “work” taking place as mediated popular culture plays an integral role in the “greening” of American moral sensibilities. Ecopiety delves into the complex and contested processes of remaking our world and rescripting the future in the digital age—a time when storytelling processes themselves are shaping and being shaped by new media outlets and digital sharing technologies.
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Armstrong, Pat, and Ruth Lowndes. Threading the Strands. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190862268.003.0012.
Повний текст джерелаАнотація:
The final chapter identifies some critical lessons learned during an eight-year project. Many in the team had worked on large grants and/or on ethnographic studies. Developing a new version of ethnography, however, required creative teamwork. So did moving beyond narrower forms of interdisciplinary and international research and more traditional approaches to mentoring in order to ensure collective, consultative, reflexive, as well as continuous knowledge creation and sharing. This chapter argues that such creative team work depends on building relationships and on organizing meetings that are stimulating intellectually and move the research forward. Those meetings must also be fun. Creative team work also requires significant preparation for the site visits, especially when those visits are intense and involved highly vulnerable populations. It means mentoring through sharing the entire research process in egalitarian ways. Finally, it means thinking about what happens to the team and the data after the funding ends.
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Resnik, David B. Ethics in Science. Edited by Paul Humphreys. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.1.
Повний текст джерелаАнотація:
This chapter provides an overview of the ethics of scientific research. Topics covered include: a review of significant historical events, trends, and cases pertaining to scientific ethics; a discussion of the philosophical foundations of science’s ethical norms; a description of science’s ethical norms; and an examination of some common ethical dilemmas that arise in such areas of research as reporting and investigating misconduct, sharing data and materials, assignment of authorship and credit, management of conflict of interest, peer review of publications, research with human beings and animals, and social responsibility. The chapter also discusses conflicts among ethical norms; empirical versus conceptual approaches to studying ethical norms; international variations in research practices; and institutional and government efforts to promote integrity in research.
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Wittenberg, Elaine, Joy Goldsmith, Sandra L. Ragan, and Terri Ann Parnell. Caring for the Family Caregiver. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190055233.001.0001.
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This remarkable work reveals the plight of the family caregiver in chronic illness through the prism of communication. Examining the high cost and poorly addressed exigencies of the caregiver, including health literacy, palliative care, and health outcomes, Elaine Wittenberg, Joy V. Goldsmith, Sandra L. Ragan, and Terri Ann Parnell use an interdisciplinary approach in an effort to identify the impact of communication and its burdens on the caregiver. This team of scholars present four caregiver profiles, the Manager, Carrier, Partner, and Lone caregiver, each emerging from a family system with different patterns of conversational sharing and expectations of conformity. This volume presents a picture of the costs and losses for caregivers that go unseen and remain invisible for stakeholders in the healthcare experience. By synthesizing current data assessing the experiences of caregivers, as well as integrating the narrative experiences of a range of caregivers living through a variety of illnesses and their specific demands, the writers deliver an unflinching gaze at the journey of the caregiver. With an author team comprised of three health communication researchers and a nurse and health literacy expert, this volume integrates literature addressing caregiver needs and burdens, communication theory and practice, and palliative care and health literacy research to present the groundbreaking concept of the caregiver types and an innovative set of support resources to facilitate improved pathways to better care for the caregiver. Their engaging and rigorous writing style integrates the real stories of caregivers across the scope of the book connecting the reader with the people inside the pages and making the book essential for providers, students, clinicians, policymakers, and family caregivers alike.
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Ray, Sumantra (Shumone), Sue Fitzpatrick, Rajna Golubic, Susan Fisher, and Sarah Gibbings, eds. Fraud and misconduct. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199608478.003.0025.
Повний текст джерелаАнотація:
Fraud and misconduct are firstly introduced by clearly defining the meaning of the two words along with what constitutes good data quality and data integrity. Falsification, Fabrication and Plagiarism are discussed. The concept of how regulators view high quality data is described along with the consequences of falsification. The chapter then goes on to present multiple definitions of fraud and misconduct to show similarities and differences between regulatory authorities in the UK and US as compared to other organisations such as the Royal College of Physicians, the Medical Research Council Policy and UK Research Integrity office. Additionally, five landmark and historical cases are presented to demonstrate what constitutes fraud. The General Medical Counsel's role in protecting public safety by ensuring proper medical standards is described along with the UK Research Integrity Office (UKRIO) and the EU Competent Authority roles in conducting investigations of suspected fraud and misconduct cases. The important roles of whistleblowers are described as well as COPE's role in reviewing published medical journal's research. Practical examples are provided to be used for the detection of fraud as well as specific approaches used by the pharmaceutical industry to detect fraudulent data. In the US, databases are available to conduct searches for individuals who have committed fraud such as the Office of Research Integrity (ORI) and the PHS Administration Action Bulletin Board. Additionally, the process for how fraud and misconduct cases are handled in the UK are discussed along with the options available for regulators, such as the MHRA, on sharing information with the public.
Частини книг з теми "Data sharing approach"
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Arenas, Alvaro E., Benjamin Aziz, Juan Bicarregui, and Michael D. Wilson. "An Event-B Approach to Data Sharing Agreements." In Lecture Notes in Computer Science, 28–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16265-7_4.
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Kumar, J. Pradeep, P. Neelakanta Rao, and Neeraja koppula. "Secure Data Sharing in Images Using Cryptographic Approach." In Advanced Techniques for IoT Applications, 356–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4435-1_34.
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Aïmeur, Esma, Gilles Brassard, and Jonathan Rioux. "CLiKC: A Privacy-Mindful Approach When Sharing Data." In Lecture Notes in Computer Science, 3–10. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54876-0_1.
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Muni Venkateswarlu, Kumaramangalam, Sepideh Avizheh, and Reihaneh Safavi-Naini. "A Blockchain Based Approach to Resource Sharing in Smart Neighbourhoods." In Financial Cryptography and Data Security, 550–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54455-3_39.
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Kathole, Atul, and Dinesh Chaudhari. "Secure Hybrid Approach for Sharing Data Securely in VANET." In Proceeding of International Conference on Computational Science and Applications, 217–21. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0863-7_18.
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Kathole, Atul, and Dinesh Chaudhari. "Secure Hybrid Approach for Sharing Data Securely in VANET." In Proceeding of International Conference on Computational Science and Applications, 217–21. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0863-7_18.
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Ferrari, E., A. C. Squicciarini, and E. Bertino. "A Decentralized Approach for Controlled Sharing of Resources in Virtual Communities." In Data and Applications Security XVII, 176–89. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/1-4020-8070-0_13.
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Dietz, Marietheres, Benedikt Putz, and Günther Pernul. "A Distributed Ledger Approach to Digital Twin Secure Data Sharing." In Data and Applications Security and Privacy XXXIII, 281–300. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22479-0_15.
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Candela, Leonardo, and Pasquale Pagano. "The D4Science Approach toward Grid Resource Sharing: The Species Occurrence Maps Generation Case." In Data Driven e-Science, 225–38. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8014-4_18.
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Madjarov, Ivan, and Omar Boucelma. "Data and Application Integration in Learning Content Management Systems: A Web Services Approach." In Innovative Approaches for Learning and Knowledge Sharing, 272–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11876663_22.
Повний текст джерелаТези доповідей конференцій з теми "Data sharing approach"
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Ogiela, Marek R., and Urszula Ogiela. "Linguistic Approach to Cryptographic Data Sharing." In 2008 Second International Conference on Future Generation Communication and Networking (FGCN). IEEE, 2008. http://dx.doi.org/10.1109/fgcn.2008.89.
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Harikrishnakumar, Ramkumar, Sima E. Borujeni, Alok Dand, and Saideep Nannapaneni. "A Quantum Bayesian Approach for Bike Sharing Demand Prediction." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9378271.
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3
Li, Zonghua, Mingjun Peng, and Wei Fan. "A SOA-based approach to geographical data sharing." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838415.
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Ota, Masayo, Huy Vo, Claudio Silva, and Juliana Freire. "A scalable approach for data-driven taxi ride-sharing simulation." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363837.
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Atapour-Abarghouei, Amir, A. Stephen McGough, and David S. Wall. "Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9378014.
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Hu, Di, Guonian Lu, Zhaoyuan Yu, Zhuo Zhang, and Jiaying Lu. "A Usage-Centered Approach to Geographical Model Sharing Through the Internet." In 2018 International Workshop on Big Geospatial Data and Data Science (BGDDS). IEEE, 2018. http://dx.doi.org/10.1109/bgdds.2018.8626844.
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Sahu, Chandraprabhat, and Ayonija Pathre. "A cloud data access control and lockbox approach for data sharing." In 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC). IEEE, 2017. http://dx.doi.org/10.1109/icomicon.2017.8279105.
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Goita, Yacouba, and Chongchong Zhao. "An integrative approach for semantic material domain data sharing." In 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6014258.
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Antonatos, S., M. Athanatos, G. Kondaxis, J. Velegrakis, N. Hatzibodozis, S. Ioannidis, and E. P. Markatos. "Honey@home: A New Approach to Large-Scale Threat Monitoring." In 2008 WOMBAT Workshop on Information Security Threats Data Collection and Sharing (WISTDCS). IEEE, 2008. http://dx.doi.org/10.1109/wistdcs.2008.15.
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Wu, Zhijun, Liang Liu, Changcan Yan, Jia Xu, and Jin Lei. "The approach of SWIM data sharing based on multi-dimensional data encryption." In 2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2017. http://dx.doi.org/10.23919/softcom.2017.8115587.
Повний текст джерелаЗвіти організацій з теми "Data sharing approach"
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Ayers, R., G. P. Course, and G. R. Pasco. Scottish Inshore Fisheries Integrated Data System (SIFIDS): work package (2) final report WP2A: development and pilot deployment of a prototypic autonomous fisheries data harvesting system, and WP2B: investigation into the availability and adaptability of novel technological approaches to data collection. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23443.
Повний текст джерелаАнотація:
[Extract from Executive Summary] To enhance sustainability and foster resilience within Scotland’s inshore fishing communities an effective system of collecting and sharing relevant data is required. To support business decisions made by vessel owners as well as informing fisheries managers and those involved in marine planning it will be vital to collect a range of information which will provide a robust understanding of fishing activity, the economic value of the sector and its importance within local communities. The SIFIDS Project was conceived to assist in attaining these goals by working alongside fishers to develop and test technology to automatically collect and collate data on board vessels, thereby reducing the reporting burden on fishers. The project built upon previous research funded through the European Fisheries Fund (EFF) and was designed to deliver a step change in the way that inshore fisheries in Scotland could be managed in cooperation with the industry. The project focussed on inshore fishing vessels around Scotland, where spatio-temporal information on the distribution of vessels and associated fishing effort is data deficient. The whole project was broken down into 12 highly integrated work packages. This is the integrated report for work packages 2A and 2B, entitled’ Development and Pilot Deployment of a Prototypic Autonomous Fisheries Data Harvesting System’ (2A) and ‘Investigation into the Availability and Adaptability of Novel Technological Approaches to Data Collection’ (2B).
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Lewis, Dustin, ed. International Counterterrorism Efforts: An Initial Mapping. Harvard Law School Program on International Law and Armed Conflict, February 2015. http://dx.doi.org/10.54813/ktkl6017.
Повний текст джерелаАнотація:
The number, range, and scope of intergovernmental entities and initiatives with a counterterrorism component have grown significantly in recent years. Today, a web of counterterrorism laws, policies, and enforcement approaches is developed and overseen by over 70 international institutions, bodies, and networks around the world. These efforts focus on everything from promulgating international legal rules to developing global policy standards, from drafting model criminal laws to promoting intelligence- and information-sharing. To date, the full scope of these efforts has not, to our knowledge, been captured in one place. We set out to identify and summarize these efforts in a single online resource.
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Colomb, Claire, and Tatiana Moreira de Souza. Regulating Short-Term Rentals: Platform-based property rentals in European cities: the policy debates. Property Research Trust, May 2021. http://dx.doi.org/10.52915/kkkd3578.
Повний текст джерелаАнотація:
Short-term rentals mediated by digital platforms have positive and negative impacts that are unevenly distributed among socio-economic groups and places. Detrimental impacts on the housing market and quality of life of long-term residents have been particular contentious in some cities. • In the 12 cities studied in the report (Amsterdam, Barcelona, Berlin, Brussels, Lisbon, London, Madrid, Milan, Paris, Prague, Rome and Vienna), city governments have responded differently to the growth of short-term rentals. • The emerging local regulations of short-term rentals take multiple forms and exhibit various degrees of stringency, ranging from rare cases of laissez-faire to a few cases of partial prohibition or strict quantitative control. Most city governments have sought to find a middle-ground approach that differentiates between the professional rental of whole units and the occasional rental of one’s home/ primary residence. • The regulation of short-term rentals is contentious and highly politicised. Six broad categories of interest groups and non-state actors actively participate in the debates with contrasting positions: advocates of the ‘sharing’ or ‘collaborative’ economy; corporate platforms; professional organisatons of short-term rental operators; new associations of hosts or ‘home-sharers’; the hotel and hospitality industry; and residents’ associations/citizens’ movements. • All city governments face difficulties in implementing and enforcing the regulations, due to a lack of sufficient resources and to the absence of accurate and comprehensive data on individual hosts. That data is held by corporate platforms, which have generally not accepted to release it (with a few exceptions) nor to monitor the content of their listings against local rules. • The relationships between platforms and city governments have oscillated between collaboration and conflict. Effective implementation is impossible without the cooperation of platforms. • In the context of the European Union, the debate has taken a supranational dimension, as two pieces of EU law frame the possibility — and acceptable forms — of regulation of online platforms and of short-term rentals in EU member states: the 2000 E-Commerce Directive and the 2006 Services Directive. • For regulation to be effective, the EU legal framework should be revised to ensure platform account- ability and data disclosure. This would allow city (and other ti ers of) governments to effectively enforce the regulations that they deem appropriate. • Besides, national and regional governments, who often control the legislative framework that defines particular types of short-term rentals, need to give local governments the necessary tools to be able to exercise their ‘right to regulate’ in the name of public interest objectives.
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Bolton, Laura. Lessons for FCDO Climate Change Programming in East Africa. Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/k4d.2021.085.
Повний текст джерелаАнотація:
This rapid review synthesises evidence on FCDO climate projects across the East African region in the following countries; Kenya, Rwanda, Uganda and Tanzania. This review established that sector stakeholders in countries like Rwanda lacked climate impact information. This highlights the need of providing the right information in the right form to meet the end users need. The above case studies have shown the need for consistent and harmonised future climate projections that are country specific. According to a study undertaken in Tanzania and Malawi, understanding the likely future characteristics of climate risk is a key component of adaptation and climate-resilient planning, but given future uncertainty it is important to design approaches that are strongly informed by local considerations and robust to uncertainty. According to the findings from the research, policy incoherence, over-reliance on donor funding, change in leadership roles is a barrier to adaptation. There is also an urgent need for mechanisms for sharing experience and learning from methodologies, technologies, and challenges. Further, Stakeholder dialogue and iterative climate service processes need to be facilitated. This review also explores approaches to communicating climatic uncertainties with decision-makers. Particularly, presentation of data using slide-sets, and stories about possible futures.
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Shan, Yina, Praem Mehta, Duminda Perera, and Yurissa Yarela. Cost and Efficiency of Arsenic Removal from Groundwater: A Review. United Nations University Institute for Water, Environment and Health, February 2019. http://dx.doi.org/10.53328/kmwt2129.
Повний текст джерелаАнотація:
Hundreds of millions of people worldwide are exposed to arsenic-contaminated drinking water, leading to significant health complications, and social and economic losses. Currently, a wide range of technologies exists to remove arsenic from water. However, despite ongoing research on such technologies, their widespread application remains limited. To bridge this gap, this review aims to compare the effectiveness and costs of various arsenic remediation technologies while considering their practical applicability. A search conducted using the Medline and Embase databases yielded 31 relevant articles published from 1996 to 2018, which were categorized into laboratory and field studies. Data on the effectiveness of technologies in removing arsenic and associated costs were extracted and standardized for comparison as much as was possible, given the diversity of ways that studies report their key results. The twenty-three (23) technologies tested in laboratory settings demonstrated efficiencies ranging from 50% to ~100%, with the majority reaching relatively high removal efficiencies (>90%). Approximately half achieved the WHO standard of 10 µg/L. Laboratory studies used groundwater samples from nine (9) different countries – Argentina, Bangladesh, Cambodia, China, Guatemala, India, Thailand, the United States, and Vietnam. The fourteen (14) technologies tested in the field achieved removal efficiency levels ranging between 60% and ~99%, with ten (10) attaining above 90% removal efficiency. Of these, only five (5) reached established the WHO standard. Some of the technologies under-performed when their influent water contained excessive concentrations of arsenic. Only six (6) countries (Argentina, Bangladesh, Chile, China, India, and Nicaragua) were represented among the studies that implemented and tested technologies in the field, either at household or community level. For technologies tested in the laboratory, the cost of treating one cubic meter of water ranged from near-zero to ~USD 93, except for one technology which cost USD 299/m³. For studies conducted in the field, the cost of treating one cubic meter of water ranged from near-zero to ~USD 70. Key factors influencing the removal efficiencies and their costs include the arsenic concentration of the influent water, pH of the influent water, materials used, the energy required, absorption capacity, labour used, regeneration period and geographical location. Technologies that demonstrate high removal efficiencies when treating moderately arsenic-contaminated water may not be as efficient when treating highly contaminated water. Also, the lifetime of the removal agents is a significant factor in determining their efficiency. It is suggested that remediation technologies that demonstrate high arsenic removal efficiencies in a laboratory setting need to be further assessed for their suitability for larger-scale application, considering their high production and operational costs. Costs can be reduced by using locally available materials and natural adsorbents, which provide near zero-cost options and can have high arsenic removal efficiencies. A notable feature of many arsenic removal approaches is that some countries with resource constraints or certain environmental circumstances – like typically high arsenic concentrations in groundwater –aim to reach resultant arsenic concentrations that are much higher than WHO’s recommended standard of 10 µg/L. This report maintains that – while this may be a pragmatic approach that helps progressively mitigate the arsenic-related health risks – it is unfortunately not a sustainable solution. Continuing exposure to higher levels of arsenic ingestion remains harmful for humans. Hence arsenic-removal technology should only be seen efficient if it can bring the water to the WHO standard. A less radical approach effectively shifts the attention from the origin of the problem in addressing the impacts and postpones achieving the best possible outcome for populations. The quantitative summary of costs and effectiveness of arsenic remediation technologies reviewed in this report can serve as a preliminary guideline for selecting the most cost-effective option. It may also be used as an initial guideline (minimum standard) for summarising the results of future studies describing arsenic remediation approaches. Looking ahead, this study identifies four priority areas that may assist in commercializing wide-scale implementation of arsenic removal technologies. These include: i) focusing efforts on determining market viability of technologies, ii) overcoming practical limitations of technologies, iii) determining technology contextual appropriateness and iv) concerted effort to increase knowledge sharing in and across regions to accelerate the implementation of research on the ground. Overall, the current science and knowledge on arsenic remediation technologies may be mature enough already to help significantly reduce the global numbers of affected populations. The missing link for today’s arsenic removal challenge is the ability to translate research evidence and laboratory-level successes into quantifiable and sustainable impacts on the ground. Achieving this requires a concerted and sustained effort from policymakers, engineers, healthcare providers, donors, and community leaders.
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Leavy, Michelle B., Danielle Cooke, Sarah Hajjar, Erik Bikelman, Bailey Egan, Diana Clarke, Debbie Gibson, Barbara Casanova, and Richard Gliklich. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration. Agency for Healthcare Research and Quality (AHRQ), November 2020. http://dx.doi.org/10.23970/ahrqepcregistryoutcome.
Повний текст джерелаАнотація:
Background: Major depressive disorder is a common mental disorder. Many pressing questions regarding depression treatment and outcomes exist, and new, efficient research approaches are necessary to address them. The primary objective of this project is to demonstrate the feasibility and value of capturing the harmonized depression outcome measures in the clinical workflow and submitting these data to different registries. Secondary objectives include demonstrating the feasibility of using these data for patient-centered outcomes research and developing a toolkit to support registries interested in sharing data with external researchers. Methods: The harmonized outcome measures for depression were developed through a multi-stakeholder, consensus-based process supported by AHRQ. For this implementation effort, the PRIME Registry, sponsored by the American Board of Family Medicine, and PsychPRO, sponsored by the American Psychiatric Association, each recruited 10 pilot sites from existing registry sites, added the harmonized measures to the registry platform, and submitted the project for institutional review board review Results: The process of preparing each registry to calculate the harmonized measures produced three major findings. First, some clarifications were necessary to make the harmonized definitions operational. Second, some data necessary for the measures are not routinely captured in structured form (e.g., PHQ-9 item 9, adverse events, suicide ideation and behavior, and mortality data). Finally, capture of the PHQ-9 requires operational and technical modifications. The next phase of this project will focus collection of the baseline and follow-up PHQ-9s, as well as other supporting clinical documentation. In parallel to the data collection process, the project team will examine the feasibility of using natural language processing to extract information on PHQ-9 scores, adverse events, and suicidal behaviors from unstructured data. Conclusion: This pilot project represents the first practical implementation of the harmonized outcome measures for depression. Initial results indicate that it is feasible to calculate the measures within the two patient registries, although some challenges were encountered related to the harmonized definition specifications, the availability of the necessary data, and the clinical workflow for collecting the PHQ-9. The ongoing data collection period, combined with an evaluation of the utility of natural language processing for these measures, will produce more information about the practical challenges, value, and burden of using the harmonized measures in the primary care and mental health setting. These findings will be useful to inform future implementations of the harmonized depression outcome measures.
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Shaping the COVID decade: addressing the long-term societal impacts of COVID-19. The British Academy, 2021. http://dx.doi.org/10.5871/bac19stf/9780856726590.001.
Повний текст джерелаАнотація:
In September 2020, the British Academy was asked by the Government Office for Science to produce an independent review to address the question: What are the long-term societal impacts of COVID-19? This short but substantial question led us to a rapid integration of evidence and an extensive consultation process. As history has shown us, the effects of a pandemic are as much social, cultural and economic as they are about medicine and health. Our aim has been to deliver an integrated view across these areas to start understanding the long-term impacts and how we address them. Our evidence review – in our companion report, The COVID decade – concluded that there are nine interconnected areas of long-term societal impact arising from the pandemic which could play out over the coming COVID decade, ranging from the rising importance of local communities, to exacerbated inequalities and a renewed awareness of education and skills in an uncertain economic climate. From those areas of impact we identified a range of policy issues for consideration by actors across society, about how to respond to these social, economic and cultural challenges beyond the immediate short-term crisis. The challenges are interconnected and require a systemic approach – one that also takes account of dimensions such as place (physical and social context, locality), scale (individual, community, regional, national) and time (past, present, future; short, medium and longer term). History indicates that times of upheaval – such as the pandemic – can be opportunities to reshape society, but that this requires vision and for key decisionmakers to work together. We find that in many places there is a need to start afresh, with a more systemic view, and where we should freely consider whether we might organise life differently in the future. In order to consider how to look to the future and shape the COVID decade, we suggest seven strategic goals for policymakers to pursue: build multi-level governance; improve knowledge, data and information linkage and sharing; prioritise digital infrastructure; reimagine urban spaces; create an agile education and training system; strengthen community-led social infrastructure; and promote a shared social purpose. These strategic goals are based on our evidence review and our analysis of the nine areas of long-term societal impact identified. We provide a range of illustrative policy opportunities for consideration in each of these areas in the report that follows.