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Academic literature on the topic 'Data commons'

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Published: 25 May 2024

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Journal articles on the topic "Data commons"

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Grossman, Robert L., Jonathan R. Dry, Sean E. Hanlon, Donald J. Johann, Anand Kolatkar, Jerry S. H. Lee, Christopher Meyer, Lea Salvatore, Walt Wells, and Lauren Leiman. "BloodPAC Data Commons for Liquid Biopsy Data." JCO Clinical Cancer Informatics, no. 5 (April 2021): 479–86. http://dx.doi.org/10.1200/cci.20.00179.

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PURPOSE The Blood Profiling Atlas in Cancer (BloodPAC) Data Commons (BPDC) is being developed and is operated by the public-private BloodPAC Consortium to support the liquid biopsy community. It is an interoperable data commons with the ultimate aim of serving as a recognized source of valid scientific evidence for liquid biopsy assays for industry, academia, and standards and regulatory stakeholders. METHODS The BPDC is implemented using the open source Gen3 data commons platform ( https://gen3.org ). In particular, the BPDC Data Exploration Portal, BPDC Data Submission Portal, the BPDC Workspace Hub, and the BloodPAC application programming interface (API) were all automatically generated from the BloodPAC Data Model using the Gen3 data commons platform. BPDC uses Gen3's implementation of the data commons framework services so that it can interoperate through secure, compliant APIs with other data commons using data commons framework service, such as National Cancer Institute's Cancer Research Data Commons. RESULTS The BPDC contains 57 studies and projects spanning more than 4,100 cases. This amounts to 5,700 aliquots (blood plasma, serum, or a contrived sample) that have been subjected to a liquid biopsy assay, quantified, and then contributed by members of the BloodPAC Consortium. In all, there are more than 31,000 files in the commons as of December 2020. We describe the BPDC, the data it manages, the process that the BloodPAC Consortium used to develop it, and some of the applications that have been developed using its API. CONCLUSION The BPDC has been the data platform used by BloodPAC during the past 4 years to manage the data for the consortium and to provide workspaces for its working groups.
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Fedorov, A., W. Longabaugh, D. Pot, D. Clunie, S. Pieper, R. Lewis, H. Aerts, et al. "NCI Imaging Data Commons." International Journal of Radiation Oncology*Biology*Physics 111, no. 3 (November 2021): e101. http://dx.doi.org/10.1016/j.ijrobp.2021.07.495.

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Fedorov, Andrey, William J. R. Longabaugh, David Pot, David A. Clunie, Steve Pieper, Hugo J. W. L. Aerts, André Homeyer, et al. "NCI Imaging Data Commons." Cancer Research 81, no. 16 (June 15, 2021): 4188–93. http://dx.doi.org/10.1158/0008-5472.can-21-0950.

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Hughes, LaRon, Robert L. Grossman, Zachary Flamig, Andrew Prokhorenkov, Michael Lukowski, Michael Fitzsimons, Tara Lichtenberg, and Yajing Tang. "Harmonization of clinical data across Gen3 data commons." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e18094-e18094. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e18094.

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e18094 Background: Gen3 is an open source software platform for developing and operating data commons. Gen3 systems are now used by a variety of institutions and agencies to share and analyze large biomedical datasets including clinical and genomic data. One of the challenges of working with these datasets is disparate clinical data standards used by researchers across different studies and fields. We have worked to address these hurdles in a variety of ways. Methods: Gen3 is an open source software platform for developing and operating data commons. Detailed specification and features can be found at https://gen3.org/ with code located on GitHub ( https://github.com/UC-cdis ). Results: The Gen3 data model is a graphical representation of the different nodes or classes of data that have been collected. Examples include diagnosis, demographic, exposure, and family history. The properties and values on each node are controlled by the data dictionary specified by the data commons creator. While each commons may have a unique data model and dictionary, specifying external standards allows for easier submission of new data and assists data consumers with interpretation of results. A variety of external references can be supported, but here we demonstrate the use of the National Cancer Institute Thesaurus (NCIt). NCIt provides reference terminologies and biomedical standards that contain a rich set of terms, codes, definitions, and concepts. Using the same reference standards across commons allows for the export of clinical data between commons. The Portable Format for Biomedical Data (PFB) was created to facilitate data export and to allow the data dictionary schema as well as the raw data to be compressed and exported. This new file format, which utilizes an Avro serialization, is small, fast, easy to modify, and enables simple data export and import. PFB also has the ability to house entire external reference ontologies and it is easy to update the PFB references as changes are introduced. Conclusions: We have shown here how the Gen3 data model, use of external reference standards for clinical data, and the export/import format of PFB enable the harmonization of clinical data across different data commons.
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Heath, Allison P., Vincent Ferretti, Stuti Agrawal, Maksim An, James C. Angelakos, Renuka Arya, Rosita Bajari, et al. "The NCI Genomic Data Commons." Nature Genetics 53, no. 3 (February 22, 2021): 257–62. http://dx.doi.org/10.1038/s41588-021-00791-5.

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Spichtinger, Daniel. "Uncommon Commons? Creative Commons Licencing in Horizon 2020 Data Management Plans." International Journal of Digital Curation 17, no. 1 (September 20, 2022): 9. http://dx.doi.org/10.2218/ijdc.v17i1.840.

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As policies, good practices and mandates on research data management evolve, more emphasis has been put on the licencing of data, which allows potential re-users to quickly identify what they can do with the data in question. In this paper I analyse a pre-existing collection of 840 Horizon 2020 public data management plans (DMPs) to determine which ones mention creative commons licences and among those who do, which licences are being used. I find that 36% of DMPs mention creative commons and among those a number of different approaches towards licencing exist (overall policy per project, licencing decisions per dataset, licencing decisions per partner, licensing decision per data format, licensing decision per perceived stakeholder interest), often clad in rather vague language with CC licences being “recommended” or “suggested”. Some DMPs also “kick the can further down the road” by mentioning that “a” CC licence will be used, but not which one. However, among those DMPs that do mention specific CC licences, a clear favourite emerges: the CC-BY licence, which accounts for half of the total mentioning of a specific licence. The fact that 64% of DMPs did not mention creative commons at all is an indication for the need for further training and awareness raising on data management in general and licencing in particular in Horizon Europe. For those DMPs that do mention specific licences, 60% would be compliant with Horizon Europe requirements (CC-BY or CC0). However, it should be carefully monitored whether content similar to the 40% that is currently licenced with non- Horizon Europe compliant licences will in the future move to CC-BY or CC0 or whether such content will simply be kept fully closed by projects (by invoking the “as open as possible, as close as necessary” principle), which would be an unintended and potentially damaging consequence of the policy.
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Stein, Lincoln D., Bartha M. Knoppers, Peter Campbell, Gad Getz, and Jan O. Korbel. "Data analysis: Create a cloud commons." Nature 523, no. 7559 (July 2015): 149–51. http://dx.doi.org/10.1038/523149a.

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Schofield, Paul N., Janan Eppig, Eva Huala, Martin Hrabe de Angelis, Mark Harvey, Duncan Davidson, Tom Weaver, et al. "Sustaining the Data and Bioresource Commons." Science 330, no. 6004 (October 28, 2010): 592–93. http://dx.doi.org/10.1126/science.1191506.

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Plana, Alejandro, Brian Furner, Monica Palese, Nicole Dussault, Suzi Birz, Luca Graglia, Maura Kush, et al. "Pediatric Cancer Data Commons: Federating and Democratizing Data for Childhood Cancer Research." JCO Clinical Cancer Informatics, no. 5 (October 2021): 1034–43. http://dx.doi.org/10.1200/cci.21.00075.

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The international pediatric oncology community has a long history of research collaboration. In the United States, the 2019 launch of the Children's Cancer Data Initiative puts the focus on developing a rich and robust data ecosystem for pediatric oncology. In this spirit, we present here our experience in constructing the Pediatric Cancer Data Commons (PCDC) to highlight the significance of this effort in fighting pediatric cancer and improving outcomes and to provide essential information to those creating resources in other disease areas. The University of Chicago's PCDC team has worked with the international research community since 2015 to build data commons for children's cancers. We identified six critical features of successful data commons design and implementation: (1) establish the need for a data commons, (2) develop and deploy the technical infrastructure, (3) establish and implement governance, (4) make the data commons platform easy and intuitive for researchers, (5) socialize the data commons and create working knowledge and expertise in the research community, and (6) plan for longevity and sustainability. Data commons are critical to conducting research on large patient cohorts that will ultimately lead to improved outcomes for children with cancer. There is value in connecting high-quality clinical and phenotype data to external sources of data such as genomic, proteomics, and imaging data. Next steps for the PCDC include creating an informed and invested data-sharing culture, developing sustainable methods of data collection and sharing, standardizing genetic biomarker reporting, incorporating radiologic and molecular analysis data, and building models for electronic patient consent. The methods and processes described here can be extended to any clinical area and provide a blueprint for others wishing to develop similar resources.
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Volchenboum, Samuel L., Suzanne M. Cox, Allison Heath, Adam Resnick, Susan L. Cohn, and Robert Grossman. "Data Commons to Support Pediatric Cancer Research." American Society of Clinical Oncology Educational Book, no. 37 (May 2017): 746–52. http://dx.doi.org/10.1200/edbk_175029.

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The falling costs and increasing fidelity of high-throughput biomedical research data have led to a renaissance in cancer surveillance and treatment. Yet, the amount, velocity, and complexity of these data have overcome the capacity of the increasing number of researchers collecting and analyzing this information. By centralizing the data, processing power, and tools, there is a valuable opportunity to share resources and thus increase the efficiency, power, and impact of research. Herein, we describe current data commons and how they operate in the oncology landscape, including an overview of the International Neuroblastoma Risk Group data commons as a paradigm case. We outline the practical steps and considerations in building data commons. Finally, we discuss the unique opportunities and benefits of creating a data commons within the context of pediatric cancer research, highlighting the particular advantages for clinical oncology and suggested next steps.
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Dissertations / Theses on the topic "Data commons"

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Sharad, Chakravarthy Namindi. "Public Commons for Geospatial Data: A Conceptual Model." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/SharadCN2003.pdf.

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McCurry, David B. "Provenance Tracking in a Commons of Geographic Data." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/McCurryDB2007.pdf.

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John, Shirley Diane. "The analysis of House of Commons' division list data." Thesis, University of Bath, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235796.

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Pinto, Evelyn Cristina. "\"Repensando os commons na comunicação científica\"." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-07052007-092617/.

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Recentemente estudiosos como Benkler, Lessig, Boyle, Hess e Ostrom retomaram o uso do conceito de commons, mas agora relacionado à informação em geral ou à informação científica. Nesse trabalho, nós lançamos mão desse termo para destacar o caráter cooperativo da pesquisa científica, a importância da transparência e neutralidade no acesso ao commons da Ciência e a natureza anti-rival da informação científica. O conceito de commons nos é muito útil para focar todo o conjunto dos artigos científicos já publicados, quer estejam na forma impressa ou na digital. Ainda permite um estudo através de prismas multidisciplinares e, finalmente, enfatiza a dinâmica das comunidades científicos como um todo. Em qualquer commons de informação, quanto maior a distribuição do conhecimento, mais dinâmico e eficiente é o processo de evolução do conhecimento. A tecnologia da imprensa tem desempenhado um papel fundamental na divulgação de informação e o seu surgimento marcou uma revolução no conhecimento e na cultura da nossa civilização. A tecnologia digital tem se mostrado mais eficiente ainda, uma vez que a natureza da sua implementação em bits se aproxima mais da natureza anti-rival das idéias do que qualquer outra tecnologia hoje empregada para preservação e distribuição de informação. Em nosso estudo, constatamos que o commons da Ciência pode ser enormemente enriquecido através de práticas cooperativas e de acesso aberto na publicação da academia. Percebemos também que o uso da tecnologia digital no commons científico, especialmente na publicação dos resultados da pesquisa, aumenta grandemente a distribuição do conhecimento acadêmico, suas oportunidades de escrutínio e validação, a dinâmica de amadurecimento das idéias científicas e, conseqüentemente, pode tornar o desenvolvimento da Ciência mais veloz e eficiente. No entanto, o meio digital tem sido utilizado tanto para criar um ambiente de livre circulação de idéias quanto para controlá-las. Por um lado, código computacional tem sido implementado para garantir o acesso apenas aos que pagam pelos altos preços das revistas científicas. Por outro lado, a publicação de revistas on-line de acesso aberto e outras formas alternativas de disseminação de conteúdo científico têm se proliferado. Ainda, o decrescente orçamento das bibliotecas, o crescente preço das assinaturas de revistas científicas e as crescentes restrições aplicadas pelas leis de propriedade intelectual têm minado a natureza livre das idéias científicas e colocado a Comunicação Científica numa crise. Estamos no meio de uma transição de paradigmas quanto à publicação dos resultados de pesquisa científica, onde aspectos legais, tecnológicos e sócio-econômicos estão em renegociação. À luz das oportunidades da tecnologia digital e da publicação em acesso aberto, as formas de disseminação dos resultados da pesquisa científica presentemente estabelecidas tem sido repensadas. Inserimos essa análise num contexto maior, o paradigma da Comunicação Científica. Isso nos auxilia a fazer um estudo mais abrangente das complexas questões envolvendo nosso tema, analisando os aspectos tecnológicos, legais e sócio-econômicos de uma possível transição para o modelo de publicação de acesso aberto. Tão grandes são as oportunidades desse novo modelo que ele tem agregado em torno de si iniciativas sócio-acadêmicas conhecidas por Movimento de Acesso Aberto à literatura científica. Atualmente, há muitos testes e modelos de publicação dessa literatura. Em especial, nesse trabalho focamos o modelo de acesso aberto aos resultados científicos, suas vantagens, as dificuldades para seu estabelecimento e como ele tem se desenvolvido. Analisamos a viabilidade de criação de um ecossistema de bibliotecas digitais de acesso aberto, especializadas em cada ramo da Ciência. Nossos modelos de partida baseiam-se em alguns aspectos de serviços como arXiv, CiteSeer e Google Scholar. Entre as muitas conclusões desse estudo, constatamos que bibliotecas desse tipo aumentam sobremaneira a dinâmica de circulação, geração, transformação e renovação do conhecimento científico. Assim, o processo de produção de recursos no commons científico pode se tornar muito mais eficiente.
Recent studies done by Benkler, Lessig, Boyle, Hess and Ostrom look at the concept of commons again however, this time in relation to information in general more specifically to scientific information. In this study, we focused on the cooperative character of scientific research, the importance of transparency and neutrality to access the scientific commons. The concept of commons is highly useful to focus on every scientific article that has already been published in print or digitally. This allows studies through several multidisciplines and finally emphasizes the dynamic of scientific communities around the world. In each commons of information, the higher the distribution of knowledge, the more dynamic and efficient the process of the evolution of this information. Technology of the press has been key in the divulging of information and its expansion marked a revolution in knowledge and culture in our civilization. Digital technology has shown more efficiency. Its implementation into bits is closer to the non-rival nature of the ideas than other technologies used to preserve it and used to distribute information. In our work, we realized that the science of commons should be enriched through cooperative practices and open access to scientific results. We also realized that digital technology in scientific commons improves distribution of scholarly knowledge and the dynamic evolution of scientific ideas so the science development should be even more efficient and faster. The digital revolution has been used to create a free environment of circulation of ideas and it has also been used to control certain things. On one side, computational code has been implemented to allow access just for people who pay for the service. On the other hand, online journals publishing and other alternative forms of disseminating scientific knowledge have been proliferated. The decreasing budget of libraries, the increasing cost of journal subscriptions and the increasing restrictions applied by intellectual property has enclosed the free nature of scientific ideas and it has put Scholarly Communication into a crisis. We are in the middle of a transitional phase, where legal, technological, social and economic aspects of scientific publishing have being renegotiated. We inserted our analyses in a larger context, the Scholarly Communication paradigm. This supports a larger study about the complex questions of our subject, analyzing the technological, legal, social and economic aspects of a possible transition to the open access publishing model. This new publishing model is so interesting that some initiatives have started social movements pertaining to it. Nowadays, there are many tests and publishing models especially in this line of work. We focused on the open access model in scientific results, its advantages, the difficulties of its establishment and how it has been developed. Finally, we propose that the creation of an open access digital libraries ecosystem specialized in every scientific field. Our staring models are services such as: arXiv, CiteSeer and Google Scholar. Among our conclusions, we have realized that following this models stated above, digital libraries can enhance the dynamic of circulation, generation, transformation and renovation of the scientific knowledge.
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Alliot, Sandie. "Essai de qualification de la notion de données à caractère personnel." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCB001.

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Les données à caractère personnel ont subi de grands changements qui justifient une nouvelle étude de cette notion. Ces données particulières sont aujourd’hui au cœur de l’économie numérique et font, pour cette raison, l’objet de nombreuses revendications. Volonté d’appropriation de la part des exploitants, demande de protection de la part des personnes concernées par les données, font partie des enjeux qu’il s’agit de concilier. Une définition et une qualification adéquates des données personnelles apparaissent alors indispensables afin de trouver un équilibre entre les différents intérêts en présence. La thèse démontrera la nécessité d’adopter une nouvelle vision des données personnelles, pour refléter au mieux leurs caractéristiques actuelles et ce afin de les encadrer de manière efficace
Personal data has undergone a major change which justifies a new study of this notion. This particular data is at the heart of the digital economy and thus stirs numerous claims. What is at stake here is to try to work out a balance between different claims such as managing operators' will of appropriation and protecting people concerned by the data, for example. This is why it is essential to find a precise definition and adequate qualifications of personal data to find a balance between the various interests. The thesis will focus on the necessity to adopt a new vision of personal data, to show its current characteristics so as to manage it efficiently
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Kang, Heechan. "Essays on methodologies in contingent valuation and the sustainable management of common pool resources." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1141240444.

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Hodges, Glenn A. "Designing a common interchange format for unit data using the Command and Control information exchange data model (C2IEDM) and XSLT." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FHodges.pdf.

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Thesis (M.S. in Modeling Virtual Environments and Simulation (MOVES))--Naval Postgraduate School, Sept. 2004.
Thesis advisor(s): Curtis Blais, Don Brutzman. Includes bibliographical references (p. 95-98). Also available online.
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Chen, Te-Ching. "Estimating common odds ratio with missing data." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2725.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Mathematical Statistics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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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.

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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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Doldirina, Catherine. "The common good and access to remote sensing data." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=104766.

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The thesis represents a search for the appropriate regime for protecting remote sensing data and information. Based on the technical and societal characteristics of this type of data, it argues in favour of the necessity to secure access to it. Using the regulatory examples of the USA and Europe, the research compares the effectiveness of such relevant legal regimes as intellectual property protection, in particular, copyright on the one hand, and the regulation of public sector information on the other. On the basis of this analysis the argument is made, that the unnecessary commodification of remote sensing data through private property-like protection regime will adversely influence their use and diminish their value. The principle of sharing, based on the theories of common property and the common good, is proposed as the best and most appropriate solution to avoid development of such a scenario. Its viability and effectiveness lies in the emphasis on the balance between the private and the public in the achievement of the common good of a better life that today manifests itself inter alia in being information rich. The principle of sharing has survived centuries of philosophical thought and is relevant today, particularly with regard to the establishment of the protection and distribution regime for remote sensing data, as the highlighted examples of geographic information infrastructures and the Geographic Earth Observation System of Systems show. The metaphor of information as a waterway rounds up the discussion regarding the relevance of the principle of sharing and emphasises the indispensability of the access-to-data oriented approach to the regulation of relationships over the generation, distribution and use of remote sensing data and information.
Cette thèse se veut une recherche du régime adéquat de protection des données de télédétections et de l'information. Son argument, en faveur de la nécessité d'en sécuriser l'accès, se base sur leurs caractéristiques techniques et sociétales. En prenant comme exemples les États-Unis et l'Europe, cette recherche compare l'efficacité de régimes légaux pertinents telle que la protection de la propriété intellectuelle, en particulier celle du droit d'auteur d'une part, et la régulation du secteur public de l'information, de l'autre. Sur la base de cette analyse, ce travail soutient qu'une marchandisation non nécessaire des données de télédétections par des régimes de protection, telle que celui de la propriété privée, vont influencer défavorablement leurs utilités ainsi que leurs valeurs. Le principe du partage, basé sur les théories de la propriété commune et du bien commun, est proposé comme étant la solution pour éviter de tels scénarios. Sa viabilité et son efficacité résident dans l'accent mis entre l'équilibre public et privé dans l'accomplissement du bien commun d'une vie meilleure, qui se manifeste aujourd'hui notamment par l'abondance de l'information. Le principe de partage, qui a survécu à des siècles de pensée philosophique, est toujours pertinent aujourd'hui, particulièrement en ce qui concerne l'implantation de régime de protection et de distribution des données de télédétections, tel que les exemples donnés sur l'infrastructure de l'information géographique et le "Geographic Earth Observation System of Systems" le montrent. La métaphore qui présente l'information comme une voie navigable reprend la discussion relative à la pertinence du principe de partage et accentue l'aspect indispensable d'une approche orientée vers l'accès aux données, préférable à la régulation des relations sur la génération, la distribution et l'utilisation de données de télédétections et de l'information.
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Books on the topic "Data commons"

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Barnes, Jon I. The value of non-agricultural land use in some Namibian communal areas: A data base for planning. Windhoek, Namibia: Directorate of Environmental Affairs, Ministry of Environment and Tourism, 1995.

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Britain, Great. Information technology: Government's response to the first report of the House of Commons Trade and Industry Committee : 1988-89 session. London: H.M.S.O., 1989.

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The future of ideas: The fate of the commons in a connected world. New York: Random House, 2001.

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1960-, Lachman Beth E., ed. Installation mapping enables many missions: The benefits of and barriers to sharing geospatial data assets. Santa Monica, CA: RAND, 2007.

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Data sharing using a common data architecture. New York: Wiley, 1994.

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Canada. Parliament. House of Commons. Standing Committee on Human Rights and the Status of Disabled Persons. Privacy, where do we draw the line?: Report of the House of Commons Standing Committee on Human Rights and the Status of Persons with Disabilities. [Ottawa: Queen's Printer for Canada], 1997.

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Canada. Parliament. House of Commons. Standing Committee on Human Rights and the Status of Disabled Persons. Privacy, where do we draw the line?: Report of the House of Commons Standing Committee on Human Rights and the Status of Persons with Disabilities. Ottawa: Public Works and Govt. Services Canada, 1997.

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Scotland, Audit, ed. Common data, common sense: Modernising information management in councils. Edinburgh: Audit Scotland, 2000.

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Great Britain. Department of Energy and Climate Change. Government response to the House of Commons Science and Technology Committee 8th report of session 2009-10: The disclosure of climate data from the Climatic Research Unit at the University of East Anglia. London: TSO, 2007.

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James, Llinas, ed. Multisensor data fusion. Boston: Artech House, 1990.

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Book chapters on the topic "Data commons"

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Cappello, Gianna, and Marianna Siino. "Building Youth Civic Engagement through Media Education and Educational Commons." In Educational Commons, 51–68. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51837-9_4.

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AbstractThe Italian case study, presented in this chapter, develops the concept of educational commons building on the field of media education and the notions of “participatory culture” and digital commons. The motivation for this study arose from the need to reconsider education as a shared resource and to examine the importance of experimenting with, monitoring, and evaluating (digital) co-creation practices that may engage and empower young people within their communities. Hence, our research questions were: (a) How do young people collectively experience and build the educational commons? (b) How do participants (youth and adults) in educational commons experience peer governance, and how do they handle and resolve conflicts? (c) How does the co-creation of a photo blog as a shared space of action help young people discover and develop a “civic intentionality” in the (digital) public sphere? (d) What are the effects of applying a commons’ logic to address inequalities and achieve social inclusion of young people from vulnerable social groups? The analysis of the textual data collected through interviews and focus groups, logbooks, fieldnotes, observation grids, and audiovisual documentation, we have been able to (a) reconstruct the micro-context in which the case study activities took place, (b) comprehensively describe the relational dynamics, the processes, and the products using unobtrusive methods, and (c) assess the impact of the activities concerning the objective of developing “civic intentionality” and reducing educational inequalities through an educational-commons and media-education approach.
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Purtova, Nadezhda. "Health Data for Common Good: Defining the Boundaries and Social Dilemmas of Data Commons." In Law, Governance and Technology Series, 177–210. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48342-9_10.

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García-Gasco Romero, Marcos. "Personal Data: The New Black Gold." In Security in the Global Commons and Beyond, 171–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67973-6_12.

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Beckwith, Richard, John Sherry, and David Prendergast. "Data Flow in the Smart City: Open Data Versus the Commons." In The Hackable City, 205–21. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2694-3_11.

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Contreras, Jorge L. "Optimizing Access Policies for Big Data Repositories: Latency Variables and the Genome Commons." In Studies in Big Data, 201–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30265-2_9.

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Raymond, Anjanette H., and Scott Shackelford. "Nudging the Ostroms' Vision of the Commons on Polycentric Governance into the Digital Environment." In Global Digital Data Governance, 21–33. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003388418-3.

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Onsrud, Harlan, Gilberto Camara, James Campbell, and Narnindi Sharad Chakravarthy. "Public Commons of Geographic Data: Research and Development Challenges." In Geographic Information Science, 223–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30231-5_15.

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Wilson, Anna, Hannah Hamilton, Greg Singh, and Pat Lockley. "Open Is Not Enough: Designing for a Networked Data Commons." In Research in Networked Learning, 49–66. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42718-3_4.

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Vameșu, Ancuța, Cristina Barna, and Irina Opincaru. "From public ownership back to commons." In Providing public goods and commons, 55–74. Liège: CIRIEC, 2018. http://dx.doi.org/10.25518/ciriec.css1chap3.

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This chapter is an analysis of the forest commons in Romania (in Romanian - „obște”, „composesorat”) as social solidarity economy organisations mainly looking at how the collective production of norms in these new (re-instituted after 50 years) organisations impacts the sustainability concerns in the collective management of natural goods and production of new goods and services of interest to the community. The chapter has four parts: the first part is offering to the readers a conceptual framework of common goods in order to better understand the particular situation of Romanian natural resources (forests, pastures) as common goods and their transition from public management to commons across time; the second part is a brief history of commons in Romania covering evolutions from 1948 to 2012 and including estimates of the size of surfaces they manage; the third part studies the commons as social economy organisations using key social and economic indicators of commons as SSE organisations from the Prometeus research project in which the authors were involved; and the last part assesses the disposition of the commons for a public, community interest mission and sustainable management of forests using survey data analysis. The chapter thus provides an in-depth analysis of commons as social solidarity economy organisations in Romania and of their capacity to provide a viable framework for sustainably managing the common resources under circumstances of significant economic pressure.
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Evans, Barbara J. "Ethical standards for unconsented data access to build genomic and other medical information commons." In Routledge Handbook of the Study of the Commons, 294–307. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781315162782-22.

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Conference papers on the topic "Data commons"

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Greenway, Giles, Leonard Mack, Tobias Blanke, Mark Cote, and Tom Heath. "Towards a mobile social data commons." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363932.

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Tarcea, Glenn, Brian Puchala, Tracy Berman, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer, and John Allison. "The Materials Commons Data Repository." In 2022 IEEE 18th International Conference on e-Science (e-Science). IEEE, 2022. http://dx.doi.org/10.1109/escience55777.2022.00060.

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Brinkmann, Alexander, Anna Primpeli, and Christian Bizer. "The Web Data Commons Schema.org Data Set Series." In WWW '23: The ACM Web Conference 2023. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3543873.3587331.

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Erlinger, Christian, and Jens Bemme. "Linked Data für Bildrepositorien : Structured Data on Wikimedia Commons." In Bildarchive. Wissensordnungen - Arbeitspraktiken - Nutzungspotenziale. Institut für Sächsische Geschichte und Volkskunde, Dresden, 2022. http://dx.doi.org/10.25366/2022.60.

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Volchenboum, SL. "Creating an International Hodgkin Lymphoma Data Commons." In ISCAYAHL 2020. © Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1701934.

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Peeters, Ralph, Alexander Brinkmann, and Christian Bizer. "The Web Data Commons Schema.org Table Corpora." In WWW '24: The ACM Web Conference 2024. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3589335.3651441.

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Eom, Boyun, Sunhwan Lim, Young-Ho Suh, Sungpil Woo, Donghwan Park, and Chanwon Park. "Artificial Intelligence-Enabled Data Value Curation on AI-Data Commons." In 2021 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2021. http://dx.doi.org/10.1109/ictc52510.2021.9620838.

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Chan, Alan, Herbie Bradley, and Nitarshan Rajkumar. "Reclaiming the Digital Commons: A Public Data Trust for Training Data." In AIES '23: AAAI/ACM Conference on AI, Ethics, and Society. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3600211.3604658.

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Cox, Jenelys. "Understanding GDPR: Libraries, Repositories, & Privacy Policies." In Digital Commons Heartland Users Group 2018. Fort Hays State University, 2018. http://dx.doi.org/10.58809/ngrw4078.

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This presentation examines the impacts of the European Union’s General Data Protection Regulation (GDPR) on Digital Commons Institutional Repositories. It will briefly explore the history and requirements of GDPR, steps bepress has taken to comply with regulations, impacts on our bepress repositories, and best practices which libraries can implement at their institutions. It also includes an example of a data audit process at the University of Denver and the resulting privacy policy developed.
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Lim, Sunhwan, Young-Ho Suh, Donghwan Park, Sungpil Woo, and Chanwon Park. "Design of SW Framework for Trustworthy AI-Data Commons." In 2020 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2020. http://dx.doi.org/10.1109/ictc49870.2020.9289370.

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Reports on the topic "Data commons"

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Liang, Shaobo, Richard Bergman, and Hongmei Gu. Workflow for publishing forestry LCI data through the LCA commons: a case study. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2018. http://dx.doi.org/10.2737/fpl-rn-364.

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Dudoit, Alain. European common data spaces: a structuring initiative that is both necessary and adaptable to Canada. CIRANO, November 2023. http://dx.doi.org/10.54932/skhp9567.

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Faced with the acceleration of the digital economy, the governance and effective sharing of data have become fundamental issues for public policy at all levels of jurisdictions and in all areas of human activity. This paper reviews the initiatives and challenges associated with data governance, with a particular focus on the European Common Data Spaces (ECDS) and their direct relevance to the Canadian context. It explores the inherent complexity of data governance, which must reconcile sector-specificities with more horizontal governance principles. In doing so, it highlights the importance of strategic and coordinated action to maximize the social and economic benefits of data. The Burgundy Report, published by CIRANO in July 2023, calls for the creation of a common data space in the Great Lakes-St. Lawrence Strategic Trade Corridor by 2030. This proposal builds in particular on three separate policy reports published in 2022 by the National Supply Chain Task Force, the Council of Ministers Responsible for Transportation and Highway Safety (COMT) and the House of Commons Standing Committee on Transportation, Infrastructure and Communities. The findings and recommendations of these reports raise fundamental questions that are central to the critical issues of governance, organizational culture, execution capacity, public and private stakeholder engagement, and data underutilization within the Canadian government machinery strained by years of delay and exacerbated by recent disruptions related to anticipated climate disasters. The creation of a common data space is envisaged as a structuring investment in Canada's essential infrastructure for intermodal transport and the supply chain. This working paper on European Common Data Spaces (ECDS) extends the synthesis and recommendations published last July 2023 by providing an operational analysis of the transformative initiative currently underway within the European Union (EU). This major policy development stems from the 2020 European Data Strategy and seeks to establish twelve common data spaces in strategic sectors, including mobility and transport. The document is divided into three main parts. The first part provides an overview of data-related public policies in Canada and the EU between 2018 and 2023. The second part focuses on the implications and lessons learned from the impact assessment supporting the adoption of data governance legislation by the European institutions. This directive establishes a regulatory framework for the creation of common data spaces in the EU. The third section discusses the current deployment of ECDSs, highlighting key milestones and ongoing processes. The paper highlights notable similarities between the EU and Canada in the identification of data issues and the formulation of public policy objectives. It also highlights differences in optimizing data sharing between jurisdictions and stakeholders. A fundamental difference between these two strategic partners is the absence of an effective and sustained pooling of resources within the Canadian intergovernmental machinery in pursuit of common objectives in the face of major shared challenges such as data accessibility and sharing. This situation is in stark contrast to the EU's groundbreaking deployment of the ECDS in pursuit of identical objectives of positioning itself as a world leader in the data economy. This lack of consideration, let alone joint action, by Canada's intergovernmental machinery to implement a common data strategy in Canada is damaging. To be effective, the Canadian response must be agile, results-oriented, and interoperable across jurisdictions. The rigorous management, responsible use, and organized sharing of data within and between jurisdictions are crucial to addressing the complex challenges and major risks facing Canada. Neither the federal nor provincial governments are currently well positioned to treat data as a shared strategic asset. The resolution of regulatory, legal, and technical obstacles to data exchange between jurisdictions and organizations cannot be achieved without the creation of a common data space. This can only be achieved by combining the necessary tools and infrastructures, and by addressing issues of trust, for example by means of common rules drawn up for this purpose. “The barriers that prevent the establishment of robust health data sharing systems are not technical, but rather fundamentally political and cultural.”
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Schoenwaelder, J., ed. Common YANG Data Types. RFC Editor, October 2010. http://dx.doi.org/10.17487/rfc6021.

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Schoenwaelder, J., ed. Common YANG Data Types. RFC Editor, July 2013. http://dx.doi.org/10.17487/rfc6991.

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Dziurlaj, John. Micro Common Data Format Specification. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1500-19.

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Beertema, P. Common DNS Data File Configuration Errors. RFC Editor, October 1993. http://dx.doi.org/10.17487/rfc1537.

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Wack, John P., Kim Brace, Sam Dana, Herb Deutsch, John Dziurlaj, Ian Piper, Don Rehill, Richard Rivello, and Sarah Whitt. Election Results Common Data Format Specification. National Institute of Standards and Technology, February 2016. http://dx.doi.org/10.6028/nist.sp.1500-100.

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Wack, John. Election results common data format specification:. Gaithersburg, MD: National Institute of Standards and Technology, December 2019. http://dx.doi.org/10.6028/nist.sp.1500-100r2.

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Dziurlaj, John. Ballot Definition Common Data Format Specification. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1500-20.

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Young, Stanley, Darcy Bullock, and Dennis So Ting Fong. Common Data Formats for Re-Identification and High-Resolution Data. Purdue University, December 2017. http://dx.doi.org/10.5703/1288284316566.

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