Establishing a low-threshold data checkout system using REDCap, to facilitate preregistration and Registered Reports for pre-existing data
Author(s) / Creator(s)
Kirtley, Olivia
Lafit, Ginette
Wampers, Martien
Myin-Germeys, Inez
Abstract / Description
Preregistration, Registered Reports, and data sharing are all open science initiatives to increase transparency, reproducibility, and replicability in scientific research. Yet, there is a tension between making data completely open and preserving “naivety” about data to prevent data dependent decision-making. Preregistration and Registered Reports both require researchers to have minimal knowledge of the data prior to analysis and to be able to provide detailed descriptions and, in some cases, proof of prior data knowledge and access. Especially in situations where large datasets are used to answer different research questions by many researchers over time, minimising researchers’ knowledge of pre-existing data – and documenting it – is challenging. A data checkout system, which operates similar to a library, has been proposed as a solution to this. Here we present a low-threshold data checkout system designed and operated via REDCap, which allows data access to be controlled and provides proof of researchers’ data access history. A series of linked, online questionnaires prompt researchers to submit an abstract and a detailed variable access request, before variables are checked-out to researchers by a data manager. A custom dataset is then released to the researcher with a time and date-stamped receipt. A researchers’ data access record can also be produced to submit with a Stage 1 Registered Report, as evidence that data have not yet been accessed. In this presentation, the design and implementation of the data checkout system will be discussed, as well as the opportunities and challenges created by using such a system.
Keyword(s)
data curation pre-existing data preregistration registered reportsPersistent Identifier
Date of first publication
2020-12-07
Is part of
CSPD 2020, online
Publisher
ZPID (Leibniz Institute for Psychology)
Citation
Kirtley, O., Lafit, G., Wampers, M., & Myin-Germeys, I. (2020). Establishing a low-threshold data checkout system using REDCap, to facilitate preregistration and Registered Reports for pre-existing data. ZPID (Leibniz Institute for Psychology). https://doi.org/10.23668/PSYCHARCHIVES.4478
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CSPD2020_DataCheckOutSystemWithREDCap_ResearcherPerspective_OliviaKirtley.pdfAdobe PDF - 1.1MBMD5: 4ba6985a4070c8d37c77e8fc5613a1d8
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Author(s) / Creator(s)Kirtley, Olivia
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Author(s) / Creator(s)Lafit, Ginette
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Author(s) / Creator(s)Wampers, Martien
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Author(s) / Creator(s)Myin-Germeys, Inez
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PsychArchives acquisition timestamp2021-01-18T09:33:02Z
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Made available on2021-01-18T09:33:02Z
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Date of first publication2020-12-07
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Abstract / DescriptionPreregistration, Registered Reports, and data sharing are all open science initiatives to increase transparency, reproducibility, and replicability in scientific research. Yet, there is a tension between making data completely open and preserving “naivety” about data to prevent data dependent decision-making. Preregistration and Registered Reports both require researchers to have minimal knowledge of the data prior to analysis and to be able to provide detailed descriptions and, in some cases, proof of prior data knowledge and access. Especially in situations where large datasets are used to answer different research questions by many researchers over time, minimising researchers’ knowledge of pre-existing data – and documenting it – is challenging. A data checkout system, which operates similar to a library, has been proposed as a solution to this. Here we present a low-threshold data checkout system designed and operated via REDCap, which allows data access to be controlled and provides proof of researchers’ data access history. A series of linked, online questionnaires prompt researchers to submit an abstract and a detailed variable access request, before variables are checked-out to researchers by a data manager. A custom dataset is then released to the researcher with a time and date-stamped receipt. A researchers’ data access record can also be produced to submit with a Stage 1 Registered Report, as evidence that data have not yet been accessed. In this presentation, the design and implementation of the data checkout system will be discussed, as well as the opportunities and challenges created by using such a system.
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Review statusunknown
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CitationKirtley, O., Lafit, G., Wampers, M., & Myin-Germeys, I. (2020). Establishing a low-threshold data checkout system using REDCap, to facilitate preregistration and Registered Reports for pre-existing data. ZPID (Leibniz Institute for Psychology). https://doi.org/10.23668/PSYCHARCHIVES.4478en
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/4057
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.4478
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Language of contenteng
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PublisherZPID (Leibniz Institute for Psychology)
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Is part ofCSPD 2020, online
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Is related tohttps://www.conference-service.com/CSPD2020/xpage.html?xpage=244&lang=en
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Keyword(s)data curationen_US
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Keyword(s)pre-existing dataen_US
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Keyword(s)preregistrationen_US
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Keyword(s)registered reportsen_US
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Dewey Decimal Classification number(s)150
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TitleEstablishing a low-threshold data checkout system using REDCap, to facilitate preregistration and Registered Reports for pre-existing dataen_US
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DRO typeconferenceObject
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Visible tag(s)ZPID Conferences and Workshops