| Title: |
DataRepExp: a R shiny Application that makes data FAIR for data repositories |
| Authors: |
Chen, R; Catts, VS; Vella, A; Jose, JCS; Bauermeister, S; Bauermeister, J; Squires, E; Thompson, S; Gallacher, J; Sachdev, PS |
| Publisher Information: |
Open Journals |
| Publication Year: |
2026 |
| Collection: |
Oxford University Research Archive (ORA) |
| Description: |
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). |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://doi.org/10.21105/joss.06693 |
| DOI: |
10.21105/joss.06693 |
| Availability: |
https://doi.org/10.21105/joss.06693; https://ora.ox.ac.uk/objects/uuid:75d27f66-ecd6-4374-9d8b-042d806fdebf |
| Rights: |
info:eu-repo/semantics/openAccess ; CC Attribution (CC BY) |
| Accession Number: |
edsbas.A180767E |
| Database: |
BASE |