Bibliografías temáticas / Data commons

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Literatura académica sobre el tema "Data commons"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 25 de julio de 2025

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Artículos de revistas sobre el tema "Data commons"

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Grossman, Robert L., Jonathan R. Dry, Sean E. Hanlon, et al. "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 Works
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Fedorov, A., W. Longabaugh, D. Pot, et al. "NCI Imaging Data Commons." International Journal of Radiation Oncology*Biology*Physics 111, no. 3 (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, et al. "NCI Imaging Data Commons." Cancer Research 81, no. 16 (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, et al. "Harmonization of clinical data across Gen3 data commons." Journal of Clinical Oncology 37, no. 15_suppl (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
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Heath, Allison P., Vincent Ferretti, Stuti Agrawal, et al. "The NCI Genomic Data Commons." Nature Genetics 53, no. 3 (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 (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 projec
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Kajander, Aleksi, and Thomas Hoffmann. "Smart City Data Commons under the Data Governance Act – Lowering the Threshold Toward Introducing Smart City Data Commons." International and Comparative Law Review 24, no. 2 (2024): 7–24. https://doi.org/10.2478/iclr-2024-0016.

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Summary Smart Cities will provide an unprecedented trove of data that is set to revolutionize the efficiency of cities and the competitiveness of businesses according to the EU’s Strategy for Data. The governance of this data is concerning, for it is already evident that non-personal data can significantly affect communities, an effect which would be amplified in a smart city. However, under the EU’s current legal framework the ability of communities to govern non-personal data in smart cities is almost non-existent. Consequently, smart city data commons have been highlighted as a possible sol
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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 (2015): 149–51. http://dx.doi.org/10.1038/523149a.

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Schofield, Paul N., Janan Eppig, Eva Huala, et al. "Sustaining the Data and Bioresource Commons." Science 330, no. 6004 (2010): 592–93. http://dx.doi.org/10.1126/science.1191506.

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Plana, Alejandro, Brian Furner, Monica Palese, 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 wit
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Tesis sobre el tema "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 pr
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Malafosse, Maxime. "La blockchain en support aux communs." Electronic Thesis or Diss., Aix-Marseille, 2022. http://www.theses.fr/2022AIXM0455.

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La blockchain et les communs sont deux concepts qui suscitent de plus en plus d’intérêt. Par des approches différentes, on prête à ces deux notions beaucoup d’espoir pour transformer notre société et répondre aux enjeux actuels de transition sociale et écologique. Pourtant peu de recherches les mettent en lien. D’autant plus que les travaux qui rapprochent la blockchain et les communs restent essentiellement théoriques. Nos recherches visent à mieux cerner comment la blockchain peut s’inscrire en support aux communs en situation réelle. Nous avons exploré plusieurs terrains qui incarnaient, de
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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
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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.<br>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.<br>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.<br>"June 1995." Thesis advisor(s): Orin E. Marvel. Includes bibliographical references. Also available online.
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Libros sobre el tema "Data commons"

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Greenleaf, G. W. (Graham William), Pun Kevin H, and University of Hong Kong. Faculty of Law, eds. The innovation commons. Sweet & Maxwell Asia, 2003.

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Barnes, Jon I. The value of non-agricultural land use in some Namibian communal areas: A data base for planning. 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. H.M.S.O., 1989.

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

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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. Public Works and Govt. Services 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. Queen's Printer for Canada], 1997.

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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. TSO, 2007.

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

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

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Tsimako, Bonnake. The tribal grazing land policy (TGLP) ranches performance to date: A report. Socio-Economic Monitoring and Evaluation Unit, Division of Agricultural Planning and Statistics, Ministry of Agriculture, 1991.

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Capítulos de libros sobre el tema "Data commons"

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Cappello, Gianna, and Marianna Siino. "Building Youth Civic Engagement through Media Education and Educational Commons." In Educational Commons. 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?
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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. 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. 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. 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. 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. 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. 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. 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. 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 reso
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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. Routledge, 2019. http://dx.doi.org/10.4324/9781315162782-22.

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Actas de conferencias sobre el tema "Data commons"

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Bielefeld, Philipp, Jasmin Geppert, Necdet Güven, et al. "Wiki-VEL: Visual Entity Linking for Structured Data on Wikimedia Commons." In Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.alvr-1.16.

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Suh, Young-Ho, Sungpil Woo, Jihoon Seo, Jaeseob Han, Sunhwan Lim, and Chan-Won Park. "AI-Data Commons: A Decentralized Collaborative Framework for AI-Based Problem Solving." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10827617.

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Schultz, Luke, Owen Randall, and Paul Lu. "Common Pitfalls with Data Deduplication Parameters and Metrics." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825314.

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Ma, Pingchuan, Zexiong Xiang, Yiwen Li, Jian Chen, Shanshan Wang, and Zhenxiang Chen. "Some Commonly Used Features are Not Reliable: Enhancing Command Identification in Smart Home Wi-Fi Traffic Data." In 2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2025. https://doi.org/10.1109/cscwd64889.2025.11033533.

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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, et al. "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. 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. ACM, 2024. http://dx.doi.org/10.1145/3589335.3651441.

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Informes sobre el tema "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. U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2018. http://dx.doi.org/10.2737/fpl-rn-364.

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Hoshi Larsson, Kaori. Do LiU researchers publish data – and where? Dataset analysis using ODDPub. Linköping University Electronic Press, 2025. https://doi.org/10.3384/report-119790.

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Swedish researchers are encouraged to share their research data, with a government goal for all publicly funded research to provide open research data by 2026. Hoshi Larsson (2023) investigated the extent and location of research data from LiU researchers. However, the search was limited to datasets with DOIs listed in DataCite Commons, suggesting that many datasets were excluded in the investigation. Therefore, the purpose of this study is to identify, through articles’ descriptions of open data, to what extent LiU’s researchers are sharing their research data and open code, and if so, which
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Dudoit, Alain. European common data spaces: a structuring initiative that is both necessary and adaptable to Canada. CIRANO, 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
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Lawson, Adrienn, Marco Gerosa, Stephen Hendrick, Matthew White, and Lucy Hyde. 2023 Open Source Generative AI Survey Report: Enterprise Perspectives and Survey-based Insights at the Intersection of Open Source Innovation and Generative AI Advancements. The Linux Foundation, 2023. https://doi.org/10.70828/wsag7760.

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With the explosion in generative AI, the Linux Foundation wanted to understand how the technology is being adopted at an organization level and the benefits and challenges of an open source solution in comparison to closed source. In partnership with LF AI &amp; Data and Generative AI Commons, Linux Foundation Research fielded a survey to sample individuals on their familiarity with their organization’s adoption of generative AI. Analyzing the findings from the survey, we found that generative AI is becoming a key component of current and future business for our respondents, with many preferri
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Schoenwaelder, J., ed. Common YANG Data Types. RFC Editor, 2010. http://dx.doi.org/10.17487/rfc6021.

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

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Dziurlaj, John. Micro Common Data Format Specification. 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, 1993. http://dx.doi.org/10.17487/rfc1537.

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Wack, John P., Kim Brace, Sam Dana, et al. Election Results Common Data Format Specification. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.sp.1500-100.

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

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