Conference Object

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 reports

Persistent 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
  • Author(s) / Creator(s)
    Kirtley, Olivia
  • Author(s) / Creator(s)
    Lafit, Ginette
  • Author(s) / Creator(s)
    Wampers, Martien
  • Author(s) / Creator(s)
    Myin-Germeys, Inez
  • PsychArchives acquisition timestamp
    2021-01-18T09:33:02Z
  • Made available on
    2021-01-18T09:33:02Z
  • Date of first publication
    2020-12-07
  • 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.
  • Review status
    unknown
  • 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
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/4057
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.4478
  • Language of content
    eng
  • Publisher
    ZPID (Leibniz Institute for Psychology)
  • Is part of
    CSPD 2020, online
  • Is related to
    https://www.conference-service.com/CSPD2020/xpage.html?xpage=244&lang=en
  • Keyword(s)
    data curation
    en_US
  • Keyword(s)
    pre-existing data
    en_US
  • Keyword(s)
    preregistration
    en_US
  • Keyword(s)
    registered reports
    en_US
  • Dewey Decimal Classification number(s)
    150
  • Title
    Establishing a low-threshold data checkout system using REDCap, to facilitate preregistration and Registered Reports for pre-existing data
    en_US
  • DRO type
    conferenceObject
  • Visible tag(s)
    ZPID Conferences and Workshops