Data Sharing Mandates, Developmental Science, and Responsibly Supporting Authors

Levesque, Roger J. R.

doi:10.1007/s10964-017-0741-1

Cited by 10 publications

(8 citation statements)

References 24 publications

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“…This study proposes that scientists' motivation to achieve credit and academic recognition can enhance their data-sharing behaviors, and we can encourage scientists' data-sharing behaviors by better developing the reward system in scientific societies. 42 However, we did not find any significant relationship between academic rank and scientists' datasharing strategies. One possible reason for this is that data sharing is most probably hypothesized as sharing the data of published articles, rather than the data of unpublished articles.…”

Section: Discussioncontrasting

confidence: 72%

<p>Biomedical Data Sharing Among Researchers: A Study from Jordan</p>

Al-Ebbini¹,

Khabour²,

Alzoubi³

et al. 2020

JMDH

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Background: Data sharing is an encouraged practice to support research in all fields. For that purpose, it is important to examine perceptions and concerns of researchers about biomedical data sharing, which was investigated in the current study. Methods: This is a cross-sectional survey study that was distributed among biomedical researchers in Jordan, as an example of developing countries. The study survey consisted of questions about demographics and about respondent's attitudes toward sharing of biomedical data. Results: Among study participants, 46.9% (n=82) were positive regarding making their research data available to the public, whereas 53.1% refused the idea. The reasons for refusing to publicly share their data included "lack of regulations" (33.5%), "access to research data should be limited to the research team" (29.5%), "no place to deposit the data" (6.5%), and "lack of funding for data deposition" (6.0%). Agreement with the idea of making data available was associated with academic rank (P=0.003). Moreover, gender (P-value=0.043) and number of publications (P-value=0.005) were associated with a time frame for data sharing (ie, agreeing to share data before vs after publication). Conclusion: About half of the respondents reported a positive attitude toward biomedical data sharing. Proper regulations and facilitation data deposition can enhance data sharing in Jordan.

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Section: Discussioncontrasting

confidence: 72%

<p>Biomedical Data Sharing Among Researchers: A Study from Jordan</p>

Al-Ebbini¹,

Khabour²,

Alzoubi³

et al. 2020

JMDH

View full text Add to dashboard Cite

show abstract

“…While requirements and regulations for open access to data vary regionally, data sharing practices of researchers worldwide are also affected by policies and regulations implemented by major stakeholders, such as publishers, journals and repositories. In addition to data sharing mandates by governments and funding agencies, changing professional codes of ethics and requirements by journals and publishers toward open data are resulting in broader support from research communities towards the practice [24]. Private foundations and other major funding organizations that require data sharing by researchers include, among others, the Bill and Melinda Gates Foundation, American Heart Association, and Howard Hughes Institute [25].…”

Section: National and Institutional Factors Impacting Data Sharingmentioning

confidence: 99%

Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide

et al. 2020

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Background With data becoming a centerpiece of modern scientific discovery, data sharing by scientists is now a crucial element of scientific progress. This article aims to provide an in-depth examination of the practices and perceptions of data management, including data storage, data sharing, and data use and reuse by scientists around the world. Methods The Usability and Assessment Working Group of DataONE, an NSF-funded environmental cyberinfrastructure project, distributed a survey to a multinational and multidisciplinary sample of scientific researchers in a two-waves approach in 2017-2018. We focused our analysis on examining the differences across age groups, sub-disciplines of science, and sectors of employment. Findings Most respondents displayed what we describe as high and mediocre risk data practices by storing their data on their personal computer, departmental servers or USB drives. Respondents appeared to be satisfied with short-term storage solutions; however, only half of them are satisfied with available mechanisms for storing data beyond the life of the process. Data sharing and data reuse were viewed positively: over 85% of respondents admitted they would be willing to share their data with others and said they would use data collected by others if it could be easily accessed. A vast majority of respondents felt that the lack of access to data generated by other researchers or institutions was a major impediment to progress in science at large, yet only about a half thought that it restricted their own ability to

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“…(2017) , and Wiley (2018) , and interventions at the single publication level, Davies & Granhag (2019) , Hardwicke et al . (2018) , Levesque (2017) , Marks (2020) and Relf & Overstreet (2021) .…”

Section: Resultsmentioning

confidence: 99%

Incentivising research data sharing: a scoping review

Woods

Pinfield

2021

Wellcome Open Res

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Background: Numerous mechanisms exist to incentivise researchers to share their data. This scoping review aims to identify and summarise evidence of the efficacy of different interventions to promote open data practices and provide an overview of current research. Methods: This scoping review is based on data identified from Web of Science and LISTA, limited from 2016 to 2021. A total of 1128 papers were screened, with 38 items being included. Items were selected if they focused on designing or evaluating an intervention or presenting an initiative to incentivise sharing. Items comprised a mixture of research papers, opinion pieces and descriptive articles. Results: Seven major themes in the literature were identified: publisher/journal data sharing policies, metrics, software solutions, research data sharing agreements in general, open science ‘badges’, funder mandates, and initiatives. Conclusions: A number of key messages for data sharing include: the need to build on existing cultures and practices, meeting people where they are and tailoring interventions to support them; the importance of publicising and explaining the policy/service widely; the need to have disciplinary data champions to model good practice and drive cultural change; the requirement to resource interventions properly; and the imperative to provide robust technical infrastructure and protocols, such as labelling of data sets, use of DOIs, data standards and use of data repositories.

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Data Sharing Mandates, Developmental Science, and Responsibly Supporting Authors

Cited by 10 publications

References 24 publications

<p>Biomedical Data Sharing Among Researchers: A Study from Jordan</p>

<p>Biomedical Data Sharing Among Researchers: A Study from Jordan</p>

Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide

Incentivising research data sharing: a scoping review

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