Research Data Sharing: Practices and Attitudes of Geophysicists

Tenopir, Carol; Christian, Lisa; Allard, Suzie; Borycz, Joshua

doi:10.1029/2018ea000461

Cited by 55 publications

(57 citation statements)

References 26 publications

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“…In summary, data providers do not want to lose control of who is able to access and reuse their data, but are open to new collaborations as a result of sharing research data. This same question was asked in a survey distributed to members of the American Geophysical Union (Tenopir et al ., ); our results are qualitatively in agreement with this previous study, although quantitatively there are some differences in the percentages of respondents who disagreed with most of the statements except for the importance of citation.…”

Section: Resultssupporting

confidence: 92%

“…When asked what they had done with research data used or collected as part of their last research project, 62% of respondents said they shared them directly with researchers working on the same research project in a research collaboration, 22% shared them directly with project partners, and very few (3%) shared them directly with researchers not working on the same research project whom they did not know personally (see Table 1). This lack of trust and the fear that data may be misinterpreted or misused are attitudes also described in other fields, such as geophysics (Tenopir, Christian, Allard, & Borycz, 2018) and other disciplines (Fecher, Friesike, Hebing, & Linek, 2017). Most respondents (69%) believe that a lot of effort is required to make their research data reusable by others (Table 1).…”

Section: Survey-block 4: Sharing and Reuse Of Research Datamentioning

confidence: 93%

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Researchers' attitudes and perceptions towards data sharing and data reuse in the field of food science and technology

Melero

Navarro-Molina

2020

Learned Publishing

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This work analyses the perception and practice of sharing, reusing, and facilitating access to research data in the field of food science and technology. The study involved the coordination of a focus group discussion and an online survey, to understand and evince the behaviour of researchers regarding data management in that field. Both the discussion group and the survey were performed with researchers from several institutes of the Spanish National Research Council. The lack of a data sharing culture, the fear of being scooped, and confusion between the concepts of the working plan and the data management plan were some of the issues that emerged in the focus group. Respondents' previous experience with sharing their research data has been mainly in the form of appendices to peer‐reviewed publications. From the survey (101 responses), the most important motivations for publishing research data were found to be facilitating the reproducibility of the research, increasing the likelihood of citations of the article, and compliance with funding body mandates. Legal constraints, intellectual property, data ownership, data rights, potential commercial exploitation, and misuse of data were the main barriers to publishing data as open data. Citation in publications, certification, compliance with standards, and the reputation of the data providers were the most relevant factors affecting the use of other researchers' data. Being recent or recently updated, well documented, with quality metadata and ease of access were the most valued attributes of open research data.

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Section: Resultssupporting

confidence: 92%

Section: Survey-block 4: Sharing and Reuse Of Research Datamentioning

confidence: 93%

Researchers' attitudes and perceptions towards data sharing and data reuse in the field of food science and technology

Melero

Navarro-Molina

2020

Learned Publishing

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“…An analysis of the subset of this data, focused particularly on practices and attitudes of geophysicists and distributed to the members of the American Geophysical Union (1,372 responses from 116 countries) was published last year [15]. https://doi.org/10.1371/journal.pone.0229003.g001…”

Section: Introductionmentioning

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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“…Purely domain specific studies, e.g. [8] investigated data sharing of geophysicists or [9] investigated data sharing among environmental scientists, will not be discussed.…”

Section: Literature Reviewmentioning

confidence: 99%

Search, reuse and sharing of research data in materials science and engineering—A qualitative interview study

2020

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Open research data practices are a relatively new, thus still evolving part of scientific work, and their usage varies strongly within different scientific domains. In the literature, the investigation of open research data practices covers the whole range of big empirical studies covering multiple scientific domains to smaller, in depth studies analysing a single field of research. Despite the richness of literature on this topic, there is still a lack of knowledge on the (open) research data awareness and practices in materials science and engineering. While most current studies focus only on some aspects of open research data practices, we aim for a comprehensive understanding of all practices with respect to the considered scientific domain. Hence this study aims at 1) drawing the whole picture of search, reuse and sharing of research data 2) while focusing on materials science and engineering. The chosen approach allows to explore the connections between different aspects of open research data practices, e.g. between data sharing and data search. In depth interviews with 13 researchers in this field were conducted, transcribed verbatim, coded and analysed using content analysis. The main findings characterised research data in materials science and engineering as extremely diverse, often generated for a very specific research focus and needing a precise description of the data and the complete generation process for possible reuse. Results on research data search and reuse showed that the interviewees intended to reuse data but were mostly unfamiliar with (yet interested in) modern methods as dataset search engines, data journals or searching public repositories. Current research data sharing is not open, but bilaterally and usually encouraged by supervisors or employers. Project funding does affect data sharing in two ways: some researchers argue to share their data openly due to their funding agency's policy, while others face legal restrictions for sharing as their projects are partly funded by industry. The time needed for a precise description of the data and their generation process is named as biggest obstacle for data sharing. From these findings, a precise set of actions is derived suitable to support Open Data, involving training for researchers and introducing rewards for data sharing on the level of universities and funding bodies.

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Research Data Sharing: Practices and Attitudes of Geophysicists

Cited by 55 publications

References 26 publications

Researchers' attitudes and perceptions towards data sharing and data reuse in the field of food science and technology

Researchers' attitudes and perceptions towards data sharing and data reuse in the field of food science and technology

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

Search, reuse and sharing of research data in materials science and engineering—A qualitative interview study

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