This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Research Instruments, Questionnaires, and Tools (738) Clinical Informatics (1325) Data Science (357) mHealth for Data Collection and Research (1196) Digital Science, Open Science (91) Innovations in Clinical Trials and Research Data Management (124) Standards and Interoperability (134) Digital Health Reporting Standards, Quality and Transparency in e-Research (132)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63343, first published .
Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem

Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem

Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem

Authors of this article:

Yibei Chen1 Author Orcid Image ;   Dorota Jarecka1 Author Orcid Image ;   Sanu Ann Abraham2 Author Orcid Image ;   Remi Gau3 Author Orcid Image ;   Evan Ng4 Author Orcid Image ;   Daniel M Low1 Author Orcid Image ;   Isaac Bevers1 Author Orcid Image ;   Alistair Johnson1 Author Orcid Image ;   Anisha Keshavan5 Author Orcid Image ;   Arno Klein6 Author Orcid Image ;   Jon Clucas6 Author Orcid Image ;   Zaliqa Rosli7 Author Orcid Image ;   Steven M Hodge8 Author Orcid Image ;   Janosch Linkersdörfer9 Author Orcid Image ;   Hauke Bartsch10 Author Orcid Image ;   Samir Das11 Author Orcid Image ;   Damien Fair12, 13, 14 Author Orcid Image ;   David Kennedy8 Author Orcid Image ;   Satrajit S Ghosh1, 15 Author Orcid Image
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Journals

  1. Kanwal N, Zhang M, Khan S, Batool U. AI-Driven Precision Fermentation: From Restaurant Food Waste to Sustainable Protein Production. Food and Bioprocess Technology 2025;18(10):8354 View