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A parasite's perspective on data sharing

Data generation is expensive in terms of both time and money. Sharing data enables the rapid replication, validation, and application of discoveries, increasing the pace and accuracy of research. As research parasites, or users of other people's data, we recognize that a strong science ecosyste...

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Detalles Bibliográficos
Autores principales: Park, YoSon, Greene, Casey S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258825/
https://www.ncbi.nlm.nih.gov/pubmed/30395209
http://dx.doi.org/10.1093/gigascience/giy129
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author Park, YoSon
Greene, Casey S
author_facet Park, YoSon
Greene, Casey S
author_sort Park, YoSon
collection PubMed
description Data generation is expensive in terms of both time and money. Sharing data enables the rapid replication, validation, and application of discoveries, increasing the pace and accuracy of research. As research parasites, or users of other people's data, we recognize that a strong science ecosystem requires that those who share best be recognized. We find that widely accessible benchmark datasets have provided outsized benefits, and we hope that the benefits of sharing will also begin to accrue to individual investigators who share well. Funders can enhance progress by adjusting incentives to better support data sharers, which will make their programmatic investments more effective. We note some funders who are making such efforts.
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spelling pubmed-62588252018-12-03 A parasite's perspective on data sharing Park, YoSon Greene, Casey S Gigascience Commentary Data generation is expensive in terms of both time and money. Sharing data enables the rapid replication, validation, and application of discoveries, increasing the pace and accuracy of research. As research parasites, or users of other people's data, we recognize that a strong science ecosystem requires that those who share best be recognized. We find that widely accessible benchmark datasets have provided outsized benefits, and we hope that the benefits of sharing will also begin to accrue to individual investigators who share well. Funders can enhance progress by adjusting incentives to better support data sharers, which will make their programmatic investments more effective. We note some funders who are making such efforts. Oxford University Press 2018-11-05 /pmc/articles/PMC6258825/ /pubmed/30395209 http://dx.doi.org/10.1093/gigascience/giy129 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Park, YoSon
Greene, Casey S
A parasite's perspective on data sharing
title A parasite's perspective on data sharing
title_full A parasite's perspective on data sharing
title_fullStr A parasite's perspective on data sharing
title_full_unstemmed A parasite's perspective on data sharing
title_short A parasite's perspective on data sharing
title_sort parasite's perspective on data sharing
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258825/
https://www.ncbi.nlm.nih.gov/pubmed/30395209
http://dx.doi.org/10.1093/gigascience/giy129
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