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A Measure of Open Data: A Metric and Analysis of Reusable Data Practices in Biomedical Data Resources

View ORCID ProfileSeth Carbon, View ORCID ProfileRobin Champieux, View ORCID ProfileJulie McMurry, View ORCID ProfileLilly Winfree, View ORCID ProfileLetisha R. Wyat, View ORCID ProfileMelissa Haendel
doi: https://doi.org/10.1101/282830
Seth Carbon
1Berkeley Bioinformatics Open-source Projects, Lawrence Berkeley National Laboratory
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Robin Champieux
2OHSU Library, Oregon Health & Science University, Portland, Oregon
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  • For correspondence: champieu@ohsu.edu
Julie McMurry
4Department of Medical Informatics and Clinical Epidemiology and OHSU Library, Oregon Health & Science University, Portland, Oregon
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Lilly Winfree
4Department of Medical Informatics and Clinical Epidemiology and OHSU Library, Oregon Health & Science University, Portland, Oregon
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Letisha R. Wyat
2OHSU Library, Oregon Health & Science University, Portland, Oregon
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Melissa Haendel
3Oregon Clinical & Translational Research, Oregon Health & Science University, Portland, Oregon, and Linus Pauling Institute, Oregon State University, Corvallis, Oregon
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ABSTRACT

Data is 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. Not being able 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 (i.e. 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.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted March 16, 2018.
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A Measure of Open Data: A Metric and Analysis of Reusable Data Practices in Biomedical Data Resources
Seth Carbon, Robin Champieux, Julie McMurry, Lilly Winfree, Letisha R. Wyat, Melissa Haendel
bioRxiv 282830; doi: https://doi.org/10.1101/282830
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A Measure of Open Data: A Metric and Analysis of Reusable Data Practices in Biomedical Data Resources
Seth Carbon, Robin Champieux, Julie McMurry, Lilly Winfree, Letisha R. Wyat, Melissa Haendel
bioRxiv 282830; doi: https://doi.org/10.1101/282830

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