Abstract
Original language | English |
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Article number | 169 |
Journal | Scientific data |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Dec 2022 |
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FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research. / van der Velde, K. Joeri; Singh, Gurnoor; Kaliyaperumal, Rajaram et al.
In: Scientific data, Vol. 9, No. 1, 169, 01.12.2022.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - FAIR Genomes metadata schema promoting Next Generation Sequencing data reuse in Dutch healthcare and research
AU - van der Velde, K. Joeri
AU - Singh, Gurnoor
AU - Kaliyaperumal, Rajaram
AU - Liao, XiaoFeng
AU - de Ridder, Sander
AU - Rebers, Susanne
AU - Kerstens, Hindrik H. D.
AU - de Andrade, Fernanda
AU - van Reeuwijk, Jeroen
AU - de Gruyter, Fini E.
AU - Hiltemann, Saskia
AU - Ligtvoet, Maarten
AU - Weiss, Marjan M.
AU - van Deutekom, Hanneke W. M.
AU - Jansen, Anne M. L.
AU - Stubbs, Andrew P.
AU - Vissers, Lisenka E. L. M.
AU - Laros, Jeroen F. J.
AU - van Enckevort, Esther
AU - Stemkens, Daphne
AU - ‘t Hoen, Peter A. C.
AU - Beliën, Jeroen A. M.
AU - van Gijn, Mariëlle E.
AU - Swertz, Morris A.
N1 - Funding Information: We thank the FAIR Genomes Consortium, which is funded as a ZonMw ?Personalized Medicine? project under award number 846003201. The FAIR Genomes Consortium members are listed in Supplementary Data?S1. We acknowledge the following support for the authors: The FAIR genomes, under ZonMw Personalized Medicine program, No. 846003201 for K.J.V., G.S., X.L., S.R., J.R., S.H., M.M.W., A.P.S., L.E.M.L.V., J.F.J.L, E.E., D.S., P.A.C.H., J.A.M.B., M.E.G. and M.A.S. The European Union?s Horizon 2020 research and innovation program under the EJP RD COFUND-EJP No. 825575 for K.J.V., R.K., E.E., P.A.C.H. and M.A.S. The Netherlands X-Omics Initiative, partially funded by NWO, project no. 184.034.019 for K.J.V., G.S., X.L., P.A.C.H. and M.A.S. The WGS-first project, under ZonMW grant no. 843002608 and 846002003 for J.R., M.M.W and L.E.M.L.V. The Netherlands Organisation for Scientific Research NWO under VIDI grant number 917.164.455 for K.J.V. and M.A.S. The University Medical Center Utrecht for F.E.D.G., H.W.M.D. and A.M.L.J. Nictiz, Dutch competence centre for electronic exchange of health and care information for M.L. The EATRIS-Plus project funded through the Horizon 2020 ? the European Union Framework Programme for Research and Innovation (Grant agreement ID: 871096) for P.A.C.H. The Dutch Cancer Society, grant number 11774 for S.d.R Grants from KiKa and Adessium Foundation for H.H.D.K. The University Medical Center Groningen for F.A. We thank the MOLGENIS team at UMCG Genomics Coordination Center for their help in developing and deploying the software, Erik Zwart for helping to test and document the import process of REDCap forms, and Fleur D.L. Kelpin and Max E. Postema for their help in creating the FAIR Genomes MOLGENIS Docker image. Finally, we would like to thank Kate McIntyre for editorial assistance. Funding Information: We thank the FAIR Genomes Consortium, which is funded as a ZonMw “Personalized Medicine” project under award number 846003201. The FAIR Genomes Consortium members are listed in Supplementary Data . We acknowledge the following support for the authors: The FAIR genomes, under ZonMw Personalized Medicine program, No. 846003201 for K.J.V., G.S., X.L., S.R., J.R., S.H., M.M.W., A.P.S., L.E.M.L.V., J.F.J.L, E.E., D.S., P.A.C.H., J.A.M.B., M.E.G. and M.A.S. The European Union’s Horizon 2020 research and innovation program under the EJP RD COFUND-EJP No. 825575 for K.J.V., R.K., E.E., P.A.C.H. and M.A.S. The Netherlands X-Omics Initiative, partially funded by NWO, project no. 184.034.019 for K.J.V., G.S., X.L., P.A.C.H. and M.A.S. The WGS-first project, under ZonMW grant no. 843002608 and 846002003 for J.R., M.M.W and L.E.M.L.V. The Netherlands Organisation for Scientific Research NWO under VIDI grant number 917.164.455 for K.J.V. and M.A.S. The University Medical Center Utrecht for F.E.D.G., H.W.M.D. and A.M.L.J. Nictiz, Dutch competence centre for electronic exchange of health and care information for M.L. The EATRIS-Plus project funded through the Horizon 2020 – the European Union Framework Programme for Research and Innovation (Grant agreement ID: 871096) for P.A.C.H. The Dutch Cancer Society, grant number 11774 for S.d.R Grants from KiKa and Adessium Foundation for H.H.D.K. The University Medical Center Groningen for F.A. We thank the MOLGENIS team at UMCG Genomics Coordination Center for their help in developing and deploying the software, Erik Zwart for helping to test and document the import process of REDCap forms, and Fleur D.L. Kelpin and Max E. Postema for their help in creating the FAIR Genomes MOLGENIS Docker image. Finally, we would like to thank Kate McIntyre for editorial assistance. Publisher Copyright: © 2022, The Author(s).
PY - 2022/12/1
Y1 - 2022/12/1
N2 - The genomes of thousands of individuals are profiled within Dutch healthcare and research each year. However, this valuable genomic data, associated clinical data and consent are captured in different ways and stored across many systems and organizations. This makes it difficult to discover rare disease patients, reuse data for personalized medicine and establish research cohorts based on specific parameters. FAIR Genomes aims to enable NGS data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. We developed a semantic schema of essential data elements harmonized with international FAIR initiatives. The FAIR Genomes schema v1.1 contains 110 elements in 9 modules. It reuses common ontologies such as NCIT, DUO and EDAM, only introducing new terms when necessary. The schema is represented by a YAML file that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare. The schema, documentation and MOLGENIS reference implementation are available at https://fairgenomes.org.
AB - The genomes of thousands of individuals are profiled within Dutch healthcare and research each year. However, this valuable genomic data, associated clinical data and consent are captured in different ways and stored across many systems and organizations. This makes it difficult to discover rare disease patients, reuse data for personalized medicine and establish research cohorts based on specific parameters. FAIR Genomes aims to enable NGS data reuse by developing metadata standards for the data descriptions needed to FAIRify genomic data while also addressing ELSI issues. We developed a semantic schema of essential data elements harmonized with international FAIR initiatives. The FAIR Genomes schema v1.1 contains 110 elements in 9 modules. It reuses common ontologies such as NCIT, DUO and EDAM, only introducing new terms when necessary. The schema is represented by a YAML file that can be transformed into templates for data entry software (EDC) and programmatic interfaces (JSON, RDF) to ease genomic data sharing in research and healthcare. The schema, documentation and MOLGENIS reference implementation are available at https://fairgenomes.org.
UR - http://www.scopus.com/inward/record.url?scp=85128148062&partnerID=8YFLogxK
U2 - 10.1038/s41597-022-01265-x
DO - 10.1038/s41597-022-01265-x
M3 - Article
C2 - 35418585
SN - 2052-4463
VL - 9
JO - Scientific data
JF - Scientific data
IS - 1
M1 - 169
ER -