The Data Use Ontology to streamline responsible access to human biomedical datasets

Lawson, J., Cabili, M. N., Kerry, G., Boughtwood, T. F., Thorogood, A., Alper, P., Bowers, S. R., Boyles, R., Brookes, A. J., Brush, M. H., Burdett, T., Clissold, H. L., Donnelly, S., Dyke, S. O.M., Freeberg, M. A., Haendel, M. A., Hata, C., Holub, P., Jeanson, F., Jené, A., Kawashima, M., Kawashima, S., Konopko, M. A., Kyomugisha, I., Li, H., Linden, M., Rodriguez, L. L., Morita, M., Mulder, N., Muller, J., Nagaie, S., Nasir, J., Ogishima, S., Ota Wang, V., Paglione, L. A.D., Pandya, R. N., Parkinson, H. E., Philippakis, A. A., Prasser, F., Rambla, J., Reinold, K., Rushton, G. A., Saltzman, A., Saunders, G. I., Sofia, H. J., Spalding, J. D., Swertz, M. A., Tulchinsky, I., van Enckevort, E. J., Varma, S., Voisin, C., Yamamoto, N., Yamasaki, C., Zass, L. J., Guidry Auvil, J. M., Nyrönen, T. H. and Courtot, M. (2021) The Data Use Ontology to streamline responsible access to human biomedical datasets. Cell Genomics. 1(2), None. 2666-979X.

Lawson_etal_Cell_Genomics_2021_The_Data_Use_Ontology_to_streamline_responsibleaccess_to_human_biomedical_d ... (1MB)

Item Type:	Article
Abstract:	Human biomedical datasets that are critical for research and clinical studies to benefit human health also often contain sensitive or potentially identifying information of individual participants. Thus, care must be taken when they are processed and made available to comply with ethical and regulatory frameworks and informed consent data conditions. To enable and streamline data access for these biomedical datasets, the Global Alliance for Genomics and Health (GA4GH) Data Use and Researcher Identities (DURI) work stream developed and approved the Data Use Ontology (DUO) standard. DUO is a hierarchical vocabulary of human and machine-readable data use terms that consistently and unambiguously represents a dataset's allowable data uses. DUO has been implemented by major international stakeholders such as the Broad and Sanger Institutes and is currently used in annotation of over 200,000 datasets worldwide. Using DUO in data management and access facilitates researchers' discovery and access of relevant datasets. DUO annotations increase the FAIRness of datasets and support data linkages using common data use profiles when integrating the data for secondary analyses. DUO is implemented in the Web Ontology Language (OWL) and, to increase community awareness and engagement, hosted in an open, centralized GitHub repository. DUO, together with the GA4GH Passport standard, offers a new, efficient, and streamlined data authorization and access framework that has enabled increased sharing of biomedical datasets worldwide. [Abstract copyright: © 2021 The Author(s).]
Additional Information:	© 2021 The Author(s).
Uncontrolled Keywords:	/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Creators:	Lawson, Jonathan, Cabili, Moran N., Kerry, Giselle, Boughtwood, Tiffany F., Thorogood, Adrian, Alper, Pinar, Bowers, Sarion R., Boyles, Rebecca, Brookes, Anthony J., Brush, Matthew H., Burdett, Tony, Clissold, Hayley L., Donnelly, Stacey, Dyke, Stephanie O.M., Freeberg, Mallory A., Haendel, Melissa A., Hata, Chihiro, Holub, Petr, Jeanson, Francis, Jené, Aina, Kawashima, Minae, Kawashima, Shuichi, Konopko, Melissa A., Kyomugisha, Irene, Li, Haoyuan, Linden, Mikael, Rodriguez, Laura Lyman, Morita, Mizuki, Mulder, Nicola, Muller, Jean, Nagaie, Satoshi, Nasir, Jamal, Ogishima, Soichi, Ota Wang, Vivian, Paglione, Laura A.D., Pandya, Ravi N., Parkinson, Helen E., Philippakis, Anthony A., Prasser, Fabian, Rambla, Jordi, Reinold, Kathy, Rushton, Gregory A., Saltzman, Andrea, Saunders, Gary I., Sofia, Heidi J., Spalding, John D., Swertz, Morris A., Tulchinsky, Ilia, van Enckevort, Esther J., Varma, Susheel, Voisin, Craig, Yamamoto, Natsuko, Yamasaki, Chisato, Zass, Lyndon J., Guidry Auvil, Jaime M., Nyrönen, Tommi H. and Courtot, Mélanie
Faculties, Divisions and Institutes:	?? ASSCI ??
Date:	10 November 2021
Date Type:	Publication
Page Range:	None
Journal or Publication Title:	Cell Genomics
Volume:	1
Number:	2
Language:	English
DOI:	https://doi.org/10.1016/j.xgen.2021.100028
ISSN:	2666-979X
Status:	Published / Disseminated
Refereed:	Yes
Related URLs:	https://www.sciencedirect.com/science/ar... https://pure.northampton.ac.uk/en/public...
URI:	http://nectar.northampton.ac.uk/id/eprint/15697

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