1,721,104 research outputs found
Resenha de Philosophy of Open Science, de Sabina Leonelli
No full textA review of Philosophy of Open Science, by Sabina Leonelli. Cambridge University Press, 2023. Cambridge, United Kingdom. 80 pp. ISBN 9781009416368. DOI: https://doi.org/10.1017/9781009416368Reseña de Philosophy of Open Science, de Sabina Leonelli. Cambridge University Press, 2023. Cambridge, Reino Unido. 80 pp. ISBN 9781009416368. DOI: https://doi.org/10.1017/9781009416368Resenha de Philosophy of Open Science, de Sabina Leonelli. Cambridge University Press, 2023. Cambridge, Reino Unido. 80 pp. ISBN 9781009416368. DOI: https://doi.org/10.1017/978100941636
The Future of the Model Organism Repertoire
Full text linkThis talk considers two recent and novel uses of simpler model organisms (such as zebrafish, water fleas, and nematodes) in contemporary life science research: as an indicator species in predictive toxicology and as a substitute for rodents and other mammals in translational biomedical research associated with new efforts to foster new approach methodologies (NAMs). Leonelli (and Ankeny) explore the ways in which the model organism repertoire is evolving in association with these domains, including the financial, sociocultural, political, technological, and experimental factors involved in their use. They conclude by showing how these new deployments and the associated model organism repertoire are impacting the epistemic functions of such entities within biology, including what they are taken to represent and how they continue to simultaneously serve as material objects found in nature and constructed for laboratory use
Sabina Leonelli. A pesquisa científica na era do big data: cinco maneiras como o big data prejudica a ciência, e como podemos salvá-la.
No full textResenha do livro de Sabina Leonelli Sabina. A pesquisa científica na era do big data: cinco maneiras como o big data prejudica a ciência, e como podemos salvá-la, Rio de Janeiro, Editora Fiocruz, 2022.Book review: A pesquisa científica na era do big data: cinco maneiras como o big data prejudica a ciência, e como podemos salvá-la, Rio de Janeiro, Editora Fiocruz, 2022, by Sabina Leonelli
Sabina Leonelli: What constitutes trustworthy data changes across time and space
Full text linkThe next installment of the Philosophy of Data Science series is with Sabina Leonelli, Principal Investigator of the ERC project, The Epistemology of Data-Intensive Science. Last year she completed a monograph titled “Life in the Digital Age: A Philosophical Study of Data-Centric Biology”, currently under review with University of Chicago Press. Here she discusses with Mark Carrigan the history of data-centric science and research practice and data’s relation to pre-existing and emerging social structures. Data types are produced by many stakeholders, from citizens to industry and governmental agencies, which means that what constitutes data, for whom and for which purposes is constantly at stake
Panel Discussion: Who's afraid of data misuse? #SciData19
No full textGrace Baynes chairs the panel discussion entitled 'Who's afraid of data misuse?' at Better Science through Better Data 2019 (#SciData19). The panelists are:- Yves-Alexandre de Montjoye, Imperial College London- Sabina Leonelli, University of Exeter- Shelley Stall, American Geophysical UnionThe video recording, live scribe illustrations plus Grace and Sabina's presentation slides are included.</div
Digital Science Webinar: The State of Open Data
No full textThis webinar covers key findings from the State of Open Data report and global researcher survey, plus emerging policies for open research data in the US and Europe, and big data, knowledge production and the political economy of research. Speakers include Jon Treadway, Digital Science, Dr Sabina Leonelli, University of Exeter, Heather Joseph, Scholarly Publishing and Academic Resources Coalition, Aki MacFarlane, Research Analyst, Open Research, Wellcome Trust and Deni Auclair, CFO and Senior Analyst Delta Think
Data Shadows: Knowledge, Openness and Absence
No full textThis is the author accepted manuscript. The final version is available from SAGE Publications via the DOI in this record.This editorial critically engages with the understanding of openness by attending to how notions of presence and absence come bundled together as part of efforts to make open. This is particularly evident in contemporary discourse around data production, dissemination, and use. We highlight how the preoccupations with making data present can be usefully analyzed and understood by tracing the related concerns around what is missing, unavailable, or invisible (“data shadows”), which unvaryingly but often implicitly accompany debates about data and openness.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Sabina Leonelli was funded by the European Resarch Council, award number 335925 (DATA_SCIENCE). Brian Rappert was funded by an ESRC/AHRC/Dstl project titled “The Formulation and Nonformulation of Security Concerns” (ES/K011308/1). All three editors were also supported by the Humanities, Arts, and Social Science Fund of the University of Exeter
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