The sharing of research data facing the COVID-19 pandemic

Lucas-Domínguez, Rut; Alonso-Arroyo, Adolfo; Vidal-Infer, Antonio; Aleixandre-Benavent, Rafaél

doi:10.1007/s11192-021-03971-6

Cited by 41 publications

(31 citation statements)

References 41 publications

(47 reference statements)

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“…They searched PubMed Central and found underlying research data available for only 13.6% of the analyzed records. They concluded that data sharing was not a common practice, even in health emergencies, such as the beginning of the COVID-19 pandemic (Lucas-Dominguez et al, 2021 ). However, such analysis of data availability is not available for preprint articles.…”

Section: Introductionmentioning

confidence: 99%

Open data and data sharing in articles about COVID-19 published in preprint servers medRxiv and bioRxiv

Strčić

Civljak²,

Gložinić

et al. 2022

Scientometrics

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This study aimed to analyze the content of data availability statements (DAS) and the actual sharing of raw data in preprint articles about COVID-19. The study combined a bibliometric analysis and a cross-sectional survey. We analyzed preprint articles on COVID-19 published on medRxiv and bioRxiv from January 1, 2020 to March 30, 2020. We extracted data sharing statements, tried to locate raw data when authors indicated they were available, and surveyed authors. The authors were surveyed in 2020–2021. We surveyed authors whose articles did not include DAS, who indicated that data are available on request, or their manuscript reported that raw data are available in the manuscript, but raw data were not found. Raw data collected in this study are published on Open Science Framework (https://osf.io/6ztec/). We analyzed 897 preprint articles. There were 699 (78%) articles with Data/Code field present on the website of a preprint server. In 234 (26%) preprints, data/code sharing statement was reported within the manuscript. For 283 preprints that reported that data were accessible, we found raw data/code for 133 (47%) of those 283 preprints (15% of all analyzed preprint articles). Most commonly, authors indicated that data were available on GitHub or another clearly specified web location, on (reasonable) request, in the manuscript or its supplementary files. In conclusion, preprint servers should require authors to provide data sharing statements that will be included both on the website and in the manuscript. Education of researchers about the meaning of data sharing is needed. Supplementary Information The online version contains supplementary material available at 10.1007/s11192-022-04346-1.

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Section: Introductionmentioning

confidence: 99%

Open data and data sharing in articles about COVID-19 published in preprint servers medRxiv and bioRxiv

Strčić

Civljak²,

Gložinić

et al. 2022

Scientometrics

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“…The debate about who hosts and curates datasets is especially relevant when it comes to responsibility for privacy, legal, and ethical issues related to supplementary materials. This explains, for example, how even in publications related to the COVID-19 pandemic, there have been low levels of data sharing [31]. A similar explanation would also make sense in relation to the criterion on self-citations.…”

Section: Resultsmentioning

confidence: 92%

Publisher Transparency among Communications and Library and Information Science Journals: Analysis and Recommendations

et al. 2021

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The principal goal of the research study is to analyze the transparency of a selection of academic journals based on an analysis model with 20 indicators grouped into 6 parameters. Given the evident interest in and commitment to transparency among quality academic journals and researchers’ difficulties in choosing journals that meet a set of criteria, we present indicators that may help researchers choose journals while also helping journals to consider what information from the editorial process to publish, or not, on their websites to attract authors in the highly competitive environment of today’s scholarly communication. To test the validity of the indicators, we analyze a small sample: the Spanish Communications and Library and Information Science journals listed in the Scimago Journal Rank. The results confirm that our analysis model is valid and can be extrapolated to other disciplines and journals.

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“…1 However, barriers for data users and data stewards persist in our very connected global community. 2 A significant challenge to accelerating genomics-based research is the ability of organizations to manage data access processes and verify user identity and permissions. For data users, discovering and gathering sufficient data to address a hypothesis and then gaining data access approval can be time consuming.…”

Section: Introductionmentioning

confidence: 99%