TY - JOUR
T1 - An analysis and metric of reusable data licensing practices for biomedical resources
AU - Carbon, Seth
AU - Champieux, Robin
AU - McMurry, Julie A.
AU - Winfree, Lilly
AU - Wyatt, Letisha R.
AU - Haendel, Melissa A.
N1 - Funding Information:
This work was support by the National Institutes of Health awards OT3TR002019, U24TR002306, and R24OD011883, awarded to Dr. Haendel. Seth Carbon was supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We would like to thank Arvin Paranjpe, Senior Technology Development Manager, OHSU, for his thoughtful discussion and expertise on academic data licensing. We would also like to thank Noel Southall and Christine Colvis at NCATS, Andrew Su at Scripps Research Institute, and John Wilbanks at Sage Bionetworks for their ongoing commitment to helping us address the data licensing problem.
Publisher Copyright:
© 2019 Carbon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
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U2 - 10.1371/journal.pone.0213090
DO - 10.1371/journal.pone.0213090
M3 - Article
C2 - 30917137
AN - SCOPUS:85063570152
SN - 1932-6203
VL - 14
JO - PLoS One
JF - PLoS One
IS - 3
M1 - e0213090
ER -