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

J 2021

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

LAWSON, Jonathan; Moran N CABILI; Giselle KERRY; Tiffany BOUGHTWOOD; Adrian THOROGOOD et. al.

Základní údaje

Originální název

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

Autoři

LAWSON, Jonathan; Moran N CABILI; Giselle KERRY; Tiffany BOUGHTWOOD; Adrian THOROGOOD; Pinar ALPER; Sarion R BOWERS; Rebecca R BOYLES; Anthony J BROOKES; Matthew BRUSH; Tony BURDETT; Hayley CLISSOLD; Stacey DONNELLY; Stephanie O M DYKE; Mallory A FREEBERG; Melissa A HAENDEL; Chihiro HATA; Petr HOLUB (203 Česká republika, domácí); Francis JEANSON; Aina JENE; Minae KAWASHIMA; Shuichi KAWASHIMA; Melissa KONOPKO; Irene KYOMUGISHA; Haoyuan LI; Mikael LINDEN; Laura Lyman RODRIGUEZ; Mizuki MORITA; Nicola MULDER; Jean MULLER; Satoshi NAGAIE; Jamal NASIR; Soichi OGISHIMA; Vivian Ota WANG; Laura D PAGLIONE; Ravi N PANDYA; Helen PARKINSON; Anthony A PHILIPPAKIS; Fabian PRASSER; Jordi RAMBLA; Kathy REINOLD; Gregory A RUSHTON; Andrea SALTZMAN; Gary SAUNDERS; Heidi J SOFIA; John D SPALDING; Morris A SWERTZ; Ilia TULCHINSKY; Esther J van ENCKEVORT; Susheel VARMA; Craig VOISIN; Natsuko YAMAMOTO; Chisato YAMASAKI; Lyndon ZASS; Jaime M Guidry AUVIL; Tommi H NYRÖNEN a Mélanie COURTOT

Vydání

Cell Genomics, AMSTERDAM, ELSEVIER, 2021, 2666-979X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

ScienceDirect

Kód RIV

RIV/00216224:14610/21:00134976

Organizační jednotka

Ústav výpočetní techniky

DOI

http://dx.doi.org/10.1016/j.xgen.2021.100028

UT WoS

001116564000008

EID Scopus

2-s2.0-85124889680

Klíčová slova anglicky

Data Use Ontology;sensitive human data

Štítky

rivok

Změněno: 26. 3. 2025 13:58, Mgr. Eva Špillingová

Anotace

V originále

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.

Citovat

LAWSON, Jonathan; Moran N CABILI; Giselle KERRY; Tiffany BOUGHTWOOD; Adrian THOROGOOD; Pinar ALPER; Sarion R BOWERS; Rebecca R BOYLES; Anthony J BROOKES; Matthew BRUSH; Tony BURDETT; Hayley CLISSOLD; Stacey DONNELLY; Stephanie O M DYKE; Mallory A FREEBERG; Melissa A HAENDEL; Chihiro HATA; Petr HOLUB; Francis JEANSON; Aina JENE; Minae KAWASHIMA; Shuichi KAWASHIMA; Melissa KONOPKO; Irene KYOMUGISHA; Haoyuan LI; Mikael LINDEN; Laura Lyman RODRIGUEZ; Mizuki MORITA; Nicola MULDER; Jean MULLER; Satoshi NAGAIE; Jamal NASIR; Soichi OGISHIMA; Vivian Ota WANG; Laura D PAGLIONE; Ravi N PANDYA; Helen PARKINSON; Anthony A PHILIPPAKIS; Fabian PRASSER; Jordi RAMBLA; Kathy REINOLD; Gregory A RUSHTON; Andrea SALTZMAN; Gary SAUNDERS; Heidi J SOFIA; John D SPALDING; Morris A SWERTZ; Ilia TULCHINSKY; Esther J van ENCKEVORT; Susheel VARMA; Craig VOISIN; Natsuko YAMAMOTO; Chisato YAMASAKI; Lyndon ZASS; Jaime M Guidry AUVIL; Tommi H NYRÖNEN a Mélanie COURTOT. The Data Use Ontology to streamline responsible access to human biomedical datasets. Cell Genomics. AMSTERDAM: ELSEVIER, 2021, roč. 1, č. 2, s. 1-12. ISSN 2666-979X. Dostupné z: https://dx.doi.org/10.1016/j.xgen.2021.100028.

@article{1809677,
   author = {Lawson, Jonathan and Cabili, Moran N and Kerry, Giselle and Boughtwood, Tiffany and Thorogood, Adrian and Alper, Pinar and Bowers, Sarion R and Boyles, Rebecca R and Brookes, Anthony J and Brush, Matthew and Burdett, Tony and Clissold, Hayley and Donnelly, Stacey and Dyke, Stephanie O M and Freeberg, Mallory A and Haendel, Melissa A and Hata, Chihiro and Holub, Petr and Jeanson, Francis and Jene, Aina and Kawashima, Minae and Kawashima, Shuichi and Konopko, Melissa and Kyomugisha, Irene and Li, Haoyuan and Linden, Mikael and Rodriguez, Laura Lyman and Morita, Mizuki and Mulder, Nicola and Muller, Jean and Nagaie, Satoshi and Nasir, Jamal and Ogishima, Soichi and Wang, Vivian Ota and Paglione, Laura D and Pandya, Ravi N and Parkinson, Helen and Philippakis, Anthony A and Prasser, Fabian and Rambla, Jordi and Reinold, Kathy and Rushton, Gregory A and Saltzman, Andrea and Saunders, Gary and Sofia, Heidi J and Spalding, John D and Swertz, Morris A and Tulchinsky, Ilia and Enckevort, Esther J van and Varma, Susheel and Voisin, Craig and Yamamoto, Natsuko and Yamasaki, Chisato and Zass, Lyndon and Auvil, Jaime M Guidry and Nyrönen, Tommi H and Courtot, Mélanie},
   article_location = {AMSTERDAM},
   article_number = {2},
   doi = {http://dx.doi.org/10.1016/j.xgen.2021.100028},
   keywords = {Data Use Ontology;sensitive human data},
   language = {eng},
   issn = {2666-979X},
   journal = {Cell Genomics},
   title = {The Data Use Ontology to streamline responsible access to human biomedical datasets},
   url = {https://www.sciencedirect.com/science/article/pii/S2666979X21000355},
   volume = {1},
   year = {2021}
}

TY  - JOUR
ID  - 1809677
AU  - Lawson, Jonathan - Cabili, Moran N - Kerry, Giselle - Boughtwood, Tiffany - Thorogood, Adrian - Alper, Pinar - Bowers, Sarion R - Boyles, Rebecca R - Brookes, Anthony J - Brush, Matthew - Burdett, Tony - Clissold, Hayley - Donnelly, Stacey - Dyke, Stephanie O M - Freeberg, Mallory A - Haendel, Melissa A - Hata, Chihiro - Holub, Petr - Jeanson, Francis - Jene, Aina - Kawashima, Minae - Kawashima, Shuichi - Konopko, Melissa - Kyomugisha, Irene - Li, Haoyuan - Linden, Mikael - Rodriguez, Laura Lyman - Morita, Mizuki - Mulder, Nicola - Muller, Jean - Nagaie, Satoshi - Nasir, Jamal - Ogishima, Soichi - Wang, Vivian Ota - Paglione, Laura D - Pandya, Ravi N - Parkinson, Helen - Philippakis, Anthony A - Prasser, Fabian - Rambla, Jordi - Reinold, Kathy - Rushton, Gregory A - Saltzman, Andrea - Saunders, Gary - Sofia, Heidi J - Spalding, John D - Swertz, Morris A - Tulchinsky, Ilia - Enckevort, Esther J van - Varma, Susheel - Voisin, Craig - Yamamoto, Natsuko - Yamasaki, Chisato - Zass, Lyndon - Auvil, Jaime M Guidry - Nyrönen, Tommi H - Courtot, Mélanie
PY  - 2021
TI  - The Data Use Ontology to streamline responsible access to human biomedical datasets
JF  - Cell Genomics
VL  - 1
IS  - 2
SP  - 1-12
EP  - 1-12
PB  - ELSEVIER
SN  - 2666979X
KW  - Data Use Ontology;sensitive human data
UR  - https://www.sciencedirect.com/science/article/pii/S2666979X21000355
N2  - 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.
ER  -

LAWSON, Jonathan; Moran N CABILI; Giselle KERRY; Tiffany BOUGHTWOOD; Adrian THOROGOOD; Pinar ALPER; Sarion R BOWERS; Rebecca R BOYLES; Anthony J BROOKES; Matthew BRUSH; Tony BURDETT; Hayley CLISSOLD; Stacey DONNELLY; Stephanie O M DYKE; Mallory A FREEBERG; Melissa A HAENDEL; Chihiro HATA; Petr HOLUB; Francis JEANSON; Aina JENE; Minae KAWASHIMA; Shuichi KAWASHIMA; Melissa KONOPKO; Irene KYOMUGISHA; Haoyuan LI; Mikael LINDEN; Laura Lyman RODRIGUEZ; Mizuki MORITA; Nicola MULDER; Jean MULLER; Satoshi NAGAIE; Jamal NASIR; Soichi OGISHIMA; Vivian Ota WANG; Laura D PAGLIONE; Ravi N PANDYA; Helen PARKINSON; Anthony A PHILIPPAKIS; Fabian PRASSER; Jordi RAMBLA; Kathy REINOLD; Gregory A RUSHTON; Andrea SALTZMAN; Gary SAUNDERS; Heidi J SOFIA; John D SPALDING; Morris A SWERTZ; Ilia TULCHINSKY; Esther J van ENCKEVORT; Susheel VARMA; Craig VOISIN; Natsuko YAMAMOTO; Chisato YAMASAKI; Lyndon ZASS; Jaime M Guidry AUVIL; Tommi H NYRÖNEN a Mélanie COURTOT. The Data Use Ontology to streamline responsible access to human biomedical datasets. \textit{Cell Genomics}. AMSTERDAM: ELSEVIER, 2021, roč.~1, č.~2, s.~1-12. ISSN~2666-979X. Dostupné z: https://dx.doi.org/10.1016/j.xgen.2021.100028.

Přehled o publikaci