Neuroscience & Neuroimaging Research Collection

Journal article

DataRepExp: a R shiny Application that makes data FAIR for data repositories

Abstract:: The Data Repository Explorer, DataRepExp, is an open-source R Shiny application developed to improve the findability, accessibility, interoperability, and reusability (FAIR) (Wilkinson et al., 2016) of research data held in a data repository. The application displays standardised metadata across multiple studies including data availability by categories (such as demographics, medical history, imaging data and genomic data) to allow high-level comparison. It enables users to explore and run preliminary analysis from participants that match certain criteria. In addition, it provides features to export reports and aggregated results for data access application purposes. The application was initially developed for a discipline-specific data-sharing platform, the Dementias Platform Australia (DPAU) (CHeBA (Centre for Healthy Brain Ageing), UNSW, 2024a).

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Chen, R., Catts, V. S., Vella, A., Jose, J. C. S., Bauermeister, S., Bauermeister, J., Squires, E., Thompson, S., Gallacher, J., & Sachdev, P. S. (2024). DataRepExp: a R shiny Application that makes data FAIR for data repositories. The Journal of Open Source Software, 9(101).

MLA Style

Chen, R, et al. “DataRepExp: a R Shiny Application That Makes Data FAIR for Data Repositories.” The Journal of Open Source Software, vol. 9, no. 101, 2024.

Chicago Style

Chen, R, VS Catts, A Vella, et al. 2024. “DataRepExp: a R Shiny Application That Makes Data FAIR for Data Repositories.” The Journal of Open Source Software 9 (101).
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Files:: Chen_et_al_2024_DataRepExp_a_R.pdf

(Preview, Version of record, pdf, 316.3KB, Terms of use)

Publisher copy:: 10.21105/joss.06693

Authors

+ Chen, R More by this author

Role:: Author

+ Catts, VS More by this author

Role:: Author

+ Vella, A More by this author

Role:: Author

+ Jose, JCS More by this author

Role:: Author

+ Bauermeister, S More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Psychiatry
Role:: Author
ORCID:: 0000-0001-9463-6971

More authors...

+ National Institute on Aging More from this funder

Funder identifier:: https://ror.org/049v75w11
Grant:: 2R01AG057531-02A1; 3RF1AG057531-01S1; 1RF1AG057531-01
Programme:: with National Institute of Health (NIA/NIH)

+ Medical Research Council More from this funder

Funder identifier:: https://ror.org/03x94j517
Grant:: MRC/T0333771

Publisher:: Open Journals
Journal:: The Journal of Open Source Software More from this journal
Volume:: 9
Issue:: 101
Article number:: 6693
Publication date:: 2024-09-30
Acceptance date:: 2024-03-01
DOI:: 10.21105/joss.06693
EISSN:: 2475-9066
ISSN:: 2475-9066

Language:: English
Keywords:: Computer science

Database
Pubs id:: 2037577
Local pid:: pubs:2037577
Source identifiers:: W4402974449
Deposit date:: 2025-06-25
ARK identifier:: ark:/29072/ora_75d27f66ecd643749d8b042d806fdebf

Terms of use

Copyright holder:: Chen et al.
Copyright date:: 2024
Rights statement:: © Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Licence:: CC Attribution (CC BY)

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