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Locating unregistered and unreported data for use in a social science systematic review and meta-analysis
Meta-analysts rely on the availability of data from previously conducted studies. That is, they rely on primary study authors to register their outcome data, either in a study’s text or on publicly available websites, and report the results of their work, either again in a study’s text or on publicl...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251843/ https://www.ncbi.nlm.nih.gov/pubmed/32456676 http://dx.doi.org/10.1186/s13643-020-01376-9 |
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author | Polanin, Joshua R. Espelage, Dorothy L. Grotpeter, Jennifer K. Valido, Alberto Ingram, Katherine M. Torgal, Cagil El Sheikh, America Robinson, Luz E. |
author_facet | Polanin, Joshua R. Espelage, Dorothy L. Grotpeter, Jennifer K. Valido, Alberto Ingram, Katherine M. Torgal, Cagil El Sheikh, America Robinson, Luz E. |
author_sort | Polanin, Joshua R. |
collection | PubMed |
description | Meta-analysts rely on the availability of data from previously conducted studies. That is, they rely on primary study authors to register their outcome data, either in a study’s text or on publicly available websites, and report the results of their work, either again in a study’s text or on publicly accessible data repositories. If a primary study author does not register data collection and similarly does not report the data collection results, the meta-analyst is at risk of failing to include the collected data. The purpose of this study is to attempt to locate one type of meta-analytic data: findings from studies that neither registered nor reported the collected outcome data. To do so, we conducted a large-scale search for potential studies and emailed an author query request to more than 600 primary study authors to ask if they had collected eligible outcome data. We received responses from 75 authors (12.3%), three of whom sent eligible findings. The results of our search confirmed our proof of concept (i.e., that authors collect data but fail to register or report it publicly), and the meta-analytic results indicated that excluding the identified studies would change some of our substantive conclusions. Cost analyses indicated, however, a high price to finding the missing studies. We end by reaffirming our calls for greater adoption of primary study pre-registration as well as data archiving in publicly available repositories. |
format | Online Article Text |
id | pubmed-7251843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72518432020-06-07 Locating unregistered and unreported data for use in a social science systematic review and meta-analysis Polanin, Joshua R. Espelage, Dorothy L. Grotpeter, Jennifer K. Valido, Alberto Ingram, Katherine M. Torgal, Cagil El Sheikh, America Robinson, Luz E. Syst Rev Methodology Meta-analysts rely on the availability of data from previously conducted studies. That is, they rely on primary study authors to register their outcome data, either in a study’s text or on publicly available websites, and report the results of their work, either again in a study’s text or on publicly accessible data repositories. If a primary study author does not register data collection and similarly does not report the data collection results, the meta-analyst is at risk of failing to include the collected data. The purpose of this study is to attempt to locate one type of meta-analytic data: findings from studies that neither registered nor reported the collected outcome data. To do so, we conducted a large-scale search for potential studies and emailed an author query request to more than 600 primary study authors to ask if they had collected eligible outcome data. We received responses from 75 authors (12.3%), three of whom sent eligible findings. The results of our search confirmed our proof of concept (i.e., that authors collect data but fail to register or report it publicly), and the meta-analytic results indicated that excluding the identified studies would change some of our substantive conclusions. Cost analyses indicated, however, a high price to finding the missing studies. We end by reaffirming our calls for greater adoption of primary study pre-registration as well as data archiving in publicly available repositories. BioMed Central 2020-05-26 /pmc/articles/PMC7251843/ /pubmed/32456676 http://dx.doi.org/10.1186/s13643-020-01376-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Polanin, Joshua R. Espelage, Dorothy L. Grotpeter, Jennifer K. Valido, Alberto Ingram, Katherine M. Torgal, Cagil El Sheikh, America Robinson, Luz E. Locating unregistered and unreported data for use in a social science systematic review and meta-analysis |
title | Locating unregistered and unreported data for use in a social science systematic review and meta-analysis |
title_full | Locating unregistered and unreported data for use in a social science systematic review and meta-analysis |
title_fullStr | Locating unregistered and unreported data for use in a social science systematic review and meta-analysis |
title_full_unstemmed | Locating unregistered and unreported data for use in a social science systematic review and meta-analysis |
title_short | Locating unregistered and unreported data for use in a social science systematic review and meta-analysis |
title_sort | locating unregistered and unreported data for use in a social science systematic review and meta-analysis |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251843/ https://www.ncbi.nlm.nih.gov/pubmed/32456676 http://dx.doi.org/10.1186/s13643-020-01376-9 |
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