2485137
doi
10.5281/zenodo.2485137
oai:zenodo.org:2485137
user-datastudies
user-eu
[DATA_SCIENCE] Interviews Plant Phenomics, 2015
Leonelli, Sabina
University of Exeter
url:http://philsci-archive.pitt.edu/id/eprint/15485
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Here are two transcripts from a set of interviews executed by Sabina Leonelli in the fall of 2015 as part of the ERC project "The Epistemology of Data-Intensive Science", and in the context of a case study of phenotyping practices at the National Plant Phenomics Centre in Aberystwyth and collaborators. The transcripts document researchers' experience of data curation practices. Researchers have consented to have these transcripts made available as Open Data. Other interviewees did not give consent or ended up providing sensitive information in their interviews, so those transcripts cannot be made open and are held securely by the research team in Exeter. You also find the information sheet provided to interviewees, which gives you the context for this project. Further information can be found at <a href="http://www.datastudies.eu">www.datastudies.eu</a>. The transcripts have been redacted to exclude names of people who have not given consent to participate in the study, but have otherwise been left unedited and therefore contain several colloquial expressions. A paper by Sabina Leonelli which specifically makes use of these interviews will be published in 2019 in the European Journal for Philosophy of Science, under the title “What Distinguishes Data from Models?”. Freely accessible preprint here: <a href="http://philsci-archive.pitt.edu/id/eprint/15485">http://philsci-archive.pitt.edu/id/eprint/15485</a> . Several related publications can be found in Open Access formats on the project website: <a href="http://www.datastudies.eu">www.datastudies.eu</a>.</p>
Zenodo
2018-12-21
info:eu-repo/semantics/other
2485136
user-datastudies
user-eu
award_title=The Epistemology of Data-Intensive Science; award_number=335925; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/335925; funder_id=00k4n6c32; funder_name=European Commission;
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https://zenodo.org/records/2485137/files/R_3_A.doc
public
http://philsci-archive.pitt.edu/id/eprint/15485
Is cited by
url
10.5281/zenodo.2485136
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doi