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

Development and Evaluation of Research Methods, Instruments and Tools (511) Clinical Informatics (1050) Design and Usability of Clinical Software and EHRs (271) Data Science (278) Secondary Use of Clinical Data for Research and Surveillance (375) Tools, Programs and Algorithms (275) eHealth Infrastructures (357)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44567, first published .
Migrating a Well-Established Longitudinal Cohort Database From Oracle SQL to Research Electronic Data Entry (REDCap): Data Management Research and Design Study

Migrating a Well-Established Longitudinal Cohort Database From Oracle SQL to Research Electronic Data Entry (REDCap): Data Management Research and Design Study

Migrating a Well-Established Longitudinal Cohort Database From Oracle SQL to Research Electronic Data Entry (REDCap): Data Management Research and Design Study

Authors of this article:

Katharina Kusejko1, 2 Author Orcid Image ;   Daniel Smith1 Author Orcid Image ;   Alexandra Scherrer2 Author Orcid Image ;   Paolo Paioni3 Author Orcid Image ;   Malte Kohns Vasconcelos4 Author Orcid Image ;   Karoline Aebi-Popp5, 6 Author Orcid Image ;   Roger D Kouyos1, 2 Author Orcid Image ;   Huldrych F Günthard1, 2 Author Orcid Image ;   Christian R Kahlert7, 8 Author Orcid Image ;   Swiss HIV Cohort Study and the Swiss Mother and Child HIV Cohort Study9
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Paioni P, Capaul M, Brunner A, Traytel A, Aebi-Popp K, Crisinel P, Duppenthaler A, Günthard H, Martinez De Tejada B, Kottanattu L, Stöckle M, Rauch A, Wagner N, Hösli I, Rudin C, Scherrer A, Kusejko K, Kahlert C. Cohort profile: the Swiss Mother and Child HIV Cohort Study (MoCHiV). BMJ Open 2024;14(9):e086543 View