FHIR up Ubicomp Data: Mastering Usability, Common Metrics, FAIRness, and Privacy
We propose and analyze a schema to harmonize data and metadata encoding for wearable and ubiquitous devices based on the Fast Healthcare Interoperability Resources standard. Currently, the lack of dataset encoding standards contributes to interpretation errors and proprietary implementations. Our proposed schema describes sensor devices, assessment data, and their characteristics. We develop and evaluate our schema regarding usability, common metric support, FAIRness, and privacy, using four stress monitoring datasets.
Authors
- Luis I. Lopera González (ORCID: https://orcid.org/0000-0002-3188-5302)
- Rüdiger Pryss (ORCID: https://orcid.org/0000-0003-1522-785X)
- Harald Baumeister (ORCID: https://orcid.org/0000-0002-2040-661X)
- Tran Bao Dat Nguyen
- Oliver Amft (ORCID: https://orcid.org/0000-0001-6811-3659)
Institutions
- University of Freiburg (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- University of Würzburg (DE)
Publication Details
- Journal
- IEEE Pervasive Computing
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1109/mprv.2024.3486930
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00