Assessment of transparency indicators across the biomedical literature: How open is open?

Recent concerns about the reproducibility of science have led to several calls for more open and transparent research practices and for the monitoring of potential improvements over time. However, with tens of thousands of new biomedical articles published per week, manually mapping and monitoring c...

Full description

Bibliographic Details
Main Authors: Stylianos Serghiou, Despina G Contopoulos-Ioannidis, Kevin W Boyack, Nico Riedel, Joshua D Wallach, John P A Ioannidis
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-03-01
Series:PLoS Biology
Online Access:https://doi.org/10.1371/journal.pbio.3001107
id doaj-c2289f5a7e7542efba9d0955671aa3fc
record_format Article
spelling doaj-c2289f5a7e7542efba9d0955671aa3fc2021-07-29T04:34:21ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852021-03-01193e300110710.1371/journal.pbio.3001107Assessment of transparency indicators across the biomedical literature: How open is open?Stylianos SerghiouDespina G Contopoulos-IoannidisKevin W BoyackNico RiedelJoshua D WallachJohn P A IoannidisRecent concerns about the reproducibility of science have led to several calls for more open and transparent research practices and for the monitoring of potential improvements over time. However, with tens of thousands of new biomedical articles published per week, manually mapping and monitoring changes in transparency is unrealistic. We present an open-source, automated approach to identify 5 indicators of transparency (data sharing, code sharing, conflicts of interest disclosures, funding disclosures, and protocol registration) and apply it across the entire open access biomedical literature of 2.75 million articles on PubMed Central (PMC). Our results indicate remarkable improvements in some (e.g., conflict of interest [COI] disclosures and funding disclosures), but not other (e.g., protocol registration and code sharing) areas of transparency over time, and map transparency across fields of science, countries, journals, and publishers. This work has enabled the creation of a large, integrated, and openly available database to expedite further efforts to monitor, understand, and promote transparency and reproducibility in science.https://doi.org/10.1371/journal.pbio.3001107
collection DOAJ
language English
format Article
sources DOAJ
author Stylianos Serghiou
Despina G Contopoulos-Ioannidis
Kevin W Boyack
Nico Riedel
Joshua D Wallach
John P A Ioannidis
spellingShingle Stylianos Serghiou
Despina G Contopoulos-Ioannidis
Kevin W Boyack
Nico Riedel
Joshua D Wallach
John P A Ioannidis
Assessment of transparency indicators across the biomedical literature: How open is open?
PLoS Biology
author_facet Stylianos Serghiou
Despina G Contopoulos-Ioannidis
Kevin W Boyack
Nico Riedel
Joshua D Wallach
John P A Ioannidis
author_sort Stylianos Serghiou
title Assessment of transparency indicators across the biomedical literature: How open is open?
title_short Assessment of transparency indicators across the biomedical literature: How open is open?
title_full Assessment of transparency indicators across the biomedical literature: How open is open?
title_fullStr Assessment of transparency indicators across the biomedical literature: How open is open?
title_full_unstemmed Assessment of transparency indicators across the biomedical literature: How open is open?
title_sort assessment of transparency indicators across the biomedical literature: how open is open?
publisher Public Library of Science (PLoS)
series PLoS Biology
issn 1544-9173
1545-7885
publishDate 2021-03-01
description Recent concerns about the reproducibility of science have led to several calls for more open and transparent research practices and for the monitoring of potential improvements over time. However, with tens of thousands of new biomedical articles published per week, manually mapping and monitoring changes in transparency is unrealistic. We present an open-source, automated approach to identify 5 indicators of transparency (data sharing, code sharing, conflicts of interest disclosures, funding disclosures, and protocol registration) and apply it across the entire open access biomedical literature of 2.75 million articles on PubMed Central (PMC). Our results indicate remarkable improvements in some (e.g., conflict of interest [COI] disclosures and funding disclosures), but not other (e.g., protocol registration and code sharing) areas of transparency over time, and map transparency across fields of science, countries, journals, and publishers. This work has enabled the creation of a large, integrated, and openly available database to expedite further efforts to monitor, understand, and promote transparency and reproducibility in science.
url https://doi.org/10.1371/journal.pbio.3001107
work_keys_str_mv AT stylianosserghiou assessmentoftransparencyindicatorsacrossthebiomedicalliteraturehowopenisopen
AT despinagcontopoulosioannidis assessmentoftransparencyindicatorsacrossthebiomedicalliteraturehowopenisopen
AT kevinwboyack assessmentoftransparencyindicatorsacrossthebiomedicalliteraturehowopenisopen
AT nicoriedel assessmentoftransparencyindicatorsacrossthebiomedicalliteraturehowopenisopen
AT joshuadwallach assessmentoftransparencyindicatorsacrossthebiomedicalliteraturehowopenisopen
AT johnpaioannidis assessmentoftransparencyindicatorsacrossthebiomedicalliteraturehowopenisopen
_version_ 1721259435176755200