REBECCA-3 Clinical Study: REDCap Project Structure and Case Report Forms (Metadata XML + Codebook) Article Swipe

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Stavanger University Hospital , Tjensvoll, Kjersti ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.5281/zenodo.17734697

This dataset contains the REDCap project structure and case report forms (CRFs) used in the REBECCA-3 feasibility clinical study, registered at ClinicalTrials.gov as NCT06435091. The files document the design of the electronic data collection system used during the study, including forms, instruments, field definitions, branching logic, and project configuration. No participant data are included. Descriptions of the smartwatch data, or smartphone app data are not included. Contents of this dataset REDCap XML metadata export (REBECCA3_2025-10-24_1350.REDCap.xml)Contains the full project structure — forms, fields, events, branching logic, and configuration — used to support PROM collection, clinical data entry, and study workflow. It does not contain the descriptions for the sensor data (smartphone, smartwatch, browser plugin). CRF PDF export (SUH-REBECCA-3 _ REDCap.pdf)The human-readable case report forms of the REDCap project (codebook).

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Electronic data capture Computer science XML Information retrieval Metadata Data collection Database Document Structure Description File format Data mining Field (mathematics) XML framework World Wide Web Data quality Data format Data retrieval XML Schema (W3C) Interoperability

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Type: dataset
Language: en
Landing Page: https://doi.org/10.5281/zenodo.17734697
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DOI: https://doi.org/10.5281/zenodo.17734697

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Title: REBECCA-3 Clinical Study: REDCap Project Structure and Case Report Forms (Metadata XML + Codebook)

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Type: dataset

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Language: en

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Publication year: 2025

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Publication date: 2025-11-27

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Authors: Stavanger University Hospital, Tjensvoll, Kjersti

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Landing page: https://doi.org/10.5281/zenodo.17734697

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Open access: Yes

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OA status: green

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OA URL: https://doi.org/10.5281/zenodo.17734697

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Concepts: Electronic data capture, Computer science, XML, Information retrieval, Metadata, Data collection, Database, Document Structure Description, File format, Data mining, Field (mathematics), XML framework, World Wide Web, Data quality, Data format, Data retrieval, XML Schema (W3C), Interoperability

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