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FAIR-data adherence in systematic reviews: A closer (meta) view of educational science
Linnaeus University, Faculty of Health and Life Sciences, Department of Psychology.ORCID iD: 0000-0002-3829-4169
Linnaeus University, Faculty of Health and Life Sciences, Department of Psychology.ORCID iD: 0000-0003-2871-9693
Linköping University, Sweden.
Linnaeus University, Faculty of Health and Life Sciences, Department of Psychology.
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2024 (English)In: Presented at Open Science Community Sweden Conference 2024, Växjö, Sweden, 24/9-26/9 2024, 2024Conference paper, Oral presentation only (Refereed)
Sustainable development
SDG 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
Abstract [en]

This systematic living meta-review investigated presence of open science practices such as FAIR data adherence (findability, accessibility, interoperability, and reusability), preregistration of protocols and reproducibility (e.g., searches) in educational systematic reviews through the years 2019-2023. Additionally, we assessed systematic reviews for adherence to methodological standards (Methodological Expectations of Campbell Collaboration Intervention Reviews (Wang et al., 2021), using the tool ROBIS—Risk of Bias in Systematic Reviews (Whiting et al., 2016). 

Results show that very few systematic reviews are assessed as low risk of bias, preregister a protocol, are possible to reproduce (e.g., searches and where exactly primary data is collected) and very few organize their data according to FAIR, although there are some reviews that adhere to the (much needed) rigorous standards and share data that can be reused. This poster will address these issues on how the community can improve reproducibility practices.

Place, publisher, year, edition, pages
2024.
Keywords [en]
FAIR-data, Open science, Reproducibility, Systematic reviews, Risk of bias
National Category
Educational Sciences
Research subject
Pedagogics and Educational Sciences, Education
Identifiers
URN: urn:nbn:se:lnu:diva-132772OAI: oai:DiVA.org:lnu-132772DiVA, id: diva2:1900943
Conference
Open Science Community Sweden Conference 2024, Växjö, Sweden, 24/9-26/9 2024
Available from: 2024-09-25 Created: 2024-09-25 Last updated: 2025-04-30Bibliographically approved

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Nordström, ThomasKalmendal, AndréHyltse, NatalieCarlsson, Rickard

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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