9 results on '"Leonelli, Sabina"'
Search Results
2. Big Data in Environment and Human Health
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Fleming, Lora, Tempini, Niccolò, Gordon-Brown, Harriet, Nichols, Gordon L., Sarran, Christophe, Vineis, Paolo, Leonardi, Giovanni, Golding, Brian, Haines, Andy, Kessel, Anthony, Murray, Virginia, Depledge, Michael, and Leonelli, Sabina
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- 2017
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3. Managing Data Journeys: Social Structures
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Leonelli, Sabina, author
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- 2016
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4. Conclusion
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Leonelli, Sabina, author
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- 2016
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5. Open Science for a Global Transformation: CODATA coordinated submission to the UNESCO Open Science Consultation
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CODATA Coordinated Expert Group, Berkman, Paul Arthur, Brase, Jan, Hartshorn, Richard, Hodson, Simon, Hugo, Wim, Leonelli, Sabina, Mons, Barend, Pergl, Hana, and Pfeiffenberger, Hans
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Data Equity ,CARE Principles ,UNESCO Open Science Recommendation ,Data Standards ,Data Policy ,UNESCO Open Science Consultation ,World Data System ,GO FAIR ,Interoperability ,Semantics ,FAIR Data ,Open Access ,FAIR Principles ,Open Science ,UNESCO ,Open Data ,TRUST Principles ,ICSTI ,CODATA ,Data Together ,Data Ethics - Abstract
Open Science for a Global Transformation: CODATA coordinated submission to the UNESCO Open Science Consultation UNESCO is preparing aRecommendation on Open Scienceto be adopted by Member States in 2021. To contribute to this process, UNESCO launched aglobal consultation gathering inputs from all regions and all interested stakeholders, through online consultations, regional and thematic meetings and numerous debates on implications, benefits and challenges of Open Science across the globe. Input via an online consultation was requested by 15 June andCODATAwas invited by the UNESCO Open Science team to present a detailed submission. Following exchanges on theCODATA International Discussion list CODATA agreed to coordinate a joint response from a number of data and information organisations. That document—Open Science for a Global Transformation—was submitted to UNESCO on 15 June and, following minor editorial adjustments, is now published here. Open Science is best characterised as the necessary transformation of scientific practice to adapt to the changes, challenges and opportunities of the 21st century digital era to advance knowledge and to improve our world. This requires changes in scientific culture, methodologies, institutions and infrastructures. These changes are already present in many research domains and institutions, where their transformative effects can be witnessed, but they are unevenly distributed. One of the purposes of Open Science viewed as a call for transformation, is to ensure that ‘no-one is left behind’. Open Science for a Global Transformation was prepared by an expert group, coordinated byCODATA and including representatives from theISC World Data System (WDS),GO FAIRand theInternational Council for Scientific and Technical Information (ICSTI) These global data and information organisations have responsibilities for policy advice and promoting collaborations in relation to data and information; they are advocates of Open Science and are convinced of its necessity and benefits. The organisations believe—fundamentally—that it is important to win hearts and minds, to significantly transform science policy and practice, in order to facilitate the application of the technologies and methodologies associated with Open Science to improve our world and address global challenges. Open Science requires policy interventions and investments to ensure equitable participation and access to its benefits and to mitigate some negative consequences. The perspective brought by these organisations lays particular emphasis on maximising appropriate access to (re-)usable data. The Expert Group comprised: Paul Arthur Berkman, Founding Director, Science Diplomacy Center, Professor of Practice in Science Diplomacy, Fletcher School of Law and Diplomacy, Tufts University; Associated Fellow, United Nations Institute for Training and Research (UNITAR); Member of the CODATA Data Policy Committee. Jan Brase, head of the Research and Development at the State and University Library, Göttingen; President of ICSTI. Richard Hartshorn, Professor, School of Physical and Chemical Sciences, University of Canterbury; Secretary General of the International Union of Pure and Applied Chemistry; member of the CODATA Executive Committee. Simon Hodson, Executive Director, CODATA. Wim Hugo, Director of Strategy, ISC World Data System. Sabina Leonelli, Turing Fellow and Professor in Philosophy and History of Science, University of Exeter. Barend Mons, Professor in Biosemantics, Leiden University Medical Center; President of CODATA; Director GO FAIR International Support and Coordination Office. Hana Pergl, Operations Manager, CODATA. Hans Pfeiffenberger, Consultant, scientific data infrastructures and policies, Member of the CODATA Data Policy Committee, founder and member of the advisory board of Earth Systems Science Data.
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- 2020
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6. Beyond the digital divide: Towards a situated approach to open data.
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Bezuidenhout, Louise M., Leonelli, Sabina, Kelly, Ann H., and Rappert, Brian
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INFORMATION & communication technologies , *INFORMATION resources management , *DIGITAL divide , *EMPIRICAL research , *RESEARCH management - Abstract
Poor provision of information and communication technologies in low/middle-income countries represents a concern for promoting open data. This is often framed as a 'digital divide' and addressed through initiatives that increase the availability of information and communication technologies to researchers based in low-resourced environments, as well as the amount of resources freely accessible online. Using qualitative empirical data from a study of lab-based research in Africa we highlight the limitations of this framing and emphasize the range of additional factors necessary to effectively utilize data available online. We adapt Sen's 'capabilities approach' to highlight the distinction between simply making resources available, and fostering researchers' ability to use them. This provides an alternative orientation that highlights the persistence of deep inequalities within the seemingly egalitarian-inspired open data landscape. We propose that the extent and manner of future data sharing will hinge on the ability to respond to the heterogeneity of research environments. [ABSTRACT FROM AUTHOR]
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- 2017
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7. How Do Scientists Define Openness? Exploring the Relationship Between Open Science Policies and Research Practice.
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Levin, Nadine, Leonelli, Sabina, Weckowska, Dagmara, Castle, David, and Dupré, John
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MEDICAL research , *SCIENCE & state , *BIOINFORMATICS , *SCIENTIFIC community ,BRITISH economic policy - Abstract
This article documents how biomedical researchers in the United Kingdom understand and enact the idea of “openness.” This is of particular interest to researchers and science policy worldwide in view of the recent adoption of pioneering policies on Open Science and Open Access by the U.K. government—policies whose impact on and implications for research practice are in need of urgent evaluation, so as to decide on their eventual implementation elsewhere. This study is based on 22 in-depth interviews with U.K. researchers in systems biology, synthetic biology, and bioinformatics, which were conducted between September 2013 and February 2014. Through an analysis of the interview transcripts, we identify seven core themes that characterize researchers’ understanding of openness in science and nine factors that shape the practice of openness in research. Our findings highlight the implications that Open Science policies can have for research processes and outcomes and provide recommendations for enhancing their content, effectiveness, and implementation. [ABSTRACT FROM AUTHOR]
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- 2016
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8. Introduction: Open Data and Africa.
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Leonelli, Sabina, Rappert, Brian, and Bezuidenhout, Louise
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This introduction outlines the contents of the special collection "Open Data and Africa", which documents the goals and aspirations associated with Open Data means in Africa today: what opportunities they offer, what challenges they pose and what the implications follow from the increasing political and institutional support for this concept. [ABSTRACT FROM AUTHOR]
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- 2018
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9. Making open data work for plant scientists.
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Leonelli, Sabina, Smirnoff, Nicholas, Moore, Jonathan, Cook, Charis, and Bastow, Ruth
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BOTANY , *PROTEOMICS , *METABOLOMICS , *MOLECULAR biology , *INFORMATION storage & retrieval systems , *DATABASES - Abstract
Despite the clear demand for open data sharing, its implementation within plant science is still limited. This is, at least in part, because open data-sharing raises several unanswered questions and challenges to current research practices. In this commentary, some of the challenges encountered by plant researchers at the bench when generating, interpreting, and attempting to disseminate their data have been highlighted. The difficulties involved in sharing sequencing, transcriptomics, proteomics, and metabolomics data are reviewed. The benefits and drawbacks of three data-sharing venues currently available to plant scientists are identified and assessed: (i) journal publication; (ii) university repositories; and (iii) community and project-specific databases. It is concluded that community and project-specific databases are the most useful to researchers interested in effective data sharing, since these databases are explicitly created to meet the researchers’ needs, support extensive curation, and embody a heightened awareness of what it takes to make data reuseable by others. Such bottom-up and community-driven approaches need to be valued by the research community, supported by publishers, and provided with long-term sustainable support by funding bodies and government. At the same time, these databases need to be linked to generic databases where possible, in order to be discoverable to the majority of researchers and thus promote effective and efficient data sharing. As we look forward to a future that embraces open access to data and publications, it is essential that data policies, data curation, data integration, data infrastructure, and data funding are linked together so as to foster data access and research productivity. [ABSTRACT FROM AUTHOR]
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- 2013
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