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An analysis and metric of reusable data licensing practices for biomedical resources
Data are the foundation of science, and there is an increasing focus on how data can be reused and enhanced to drive scientific discoveries. However, most seemingly “open data” do not provide legal permissions for reuse and redistribution. The inability to integrate and redistribute our collective d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436688/ https://www.ncbi.nlm.nih.gov/pubmed/30917137 http://dx.doi.org/10.1371/journal.pone.0213090 |
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author | Carbon, Seth Champieux, Robin McMurry, Julie A. Winfree, Lilly Wyatt, Letisha R. Haendel, Melissa A. |
author_facet | Carbon, Seth Champieux, Robin McMurry, Julie A. Winfree, Lilly Wyatt, Letisha R. Haendel, Melissa A. |
author_sort | Carbon, Seth |
collection | PubMed |
description | Data are the foundation of science, and there is an increasing focus on how data can be reused and enhanced to drive scientific discoveries. However, most seemingly “open data” do not provide legal permissions for reuse and redistribution. The inability to integrate and redistribute our collective data resources blocks innovation and stymies the creation of life-improving diagnostic and drug selection tools. To help the biomedical research and research support communities (e.g. libraries, funders, repositories, etc.) understand and navigate the data licensing landscape, the (Re)usable Data Project (RDP) (http://reusabledata.org) assesses the licensing characteristics of data resources and how licensing behaviors impact reuse. We have created a ruleset to determine the reusability of data resources and have applied it to 56 scientific data resources (e.g. databases) to date. The results show significant reuse and interoperability barriers. Inspired by game-changing projects like Creative Commons, the Wikipedia Foundation, and the Free Software movement, we hope to engage the scientific community in the discussion regarding the legal use and reuse of scientific data, including the balance of openness and how to create sustainable data resources in an increasingly competitive environment. |
format | Online Article Text |
id | pubmed-6436688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64366882019-04-12 An analysis and metric of reusable data licensing practices for biomedical resources Carbon, Seth Champieux, Robin McMurry, Julie A. Winfree, Lilly Wyatt, Letisha R. Haendel, Melissa A. PLoS One Research Article Data are the foundation of science, and there is an increasing focus on how data can be reused and enhanced to drive scientific discoveries. However, most seemingly “open data” do not provide legal permissions for reuse and redistribution. The inability to integrate and redistribute our collective data resources blocks innovation and stymies the creation of life-improving diagnostic and drug selection tools. To help the biomedical research and research support communities (e.g. libraries, funders, repositories, etc.) understand and navigate the data licensing landscape, the (Re)usable Data Project (RDP) (http://reusabledata.org) assesses the licensing characteristics of data resources and how licensing behaviors impact reuse. We have created a ruleset to determine the reusability of data resources and have applied it to 56 scientific data resources (e.g. databases) to date. The results show significant reuse and interoperability barriers. Inspired by game-changing projects like Creative Commons, the Wikipedia Foundation, and the Free Software movement, we hope to engage the scientific community in the discussion regarding the legal use and reuse of scientific data, including the balance of openness and how to create sustainable data resources in an increasingly competitive environment. Public Library of Science 2019-03-27 /pmc/articles/PMC6436688/ /pubmed/30917137 http://dx.doi.org/10.1371/journal.pone.0213090 Text en © 2019 Carbon et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Carbon, Seth Champieux, Robin McMurry, Julie A. Winfree, Lilly Wyatt, Letisha R. Haendel, Melissa A. An analysis and metric of reusable data licensing practices for biomedical resources |
title | An analysis and metric of reusable data licensing practices for biomedical resources |
title_full | An analysis and metric of reusable data licensing practices for biomedical resources |
title_fullStr | An analysis and metric of reusable data licensing practices for biomedical resources |
title_full_unstemmed | An analysis and metric of reusable data licensing practices for biomedical resources |
title_short | An analysis and metric of reusable data licensing practices for biomedical resources |
title_sort | analysis and metric of reusable data licensing practices for biomedical resources |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436688/ https://www.ncbi.nlm.nih.gov/pubmed/30917137 http://dx.doi.org/10.1371/journal.pone.0213090 |
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