Researcher attitudes toward data sharing in public data repositories: a meta-evaluation of studies on researcher data sharing

Thoegersen, Jennifer L.; Borlund, Pia

doi:10.1108/jd-01-2021-0015

Cited by 27 publications

(28 citation statements)

References 49 publications

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“…A study by Thoegersen and Borlund (2021) on researcher attitudes toward data sharing in public data repositories shows a need for greater clarity and consistency in using the term "data sharing" in future studies to better understand the use of this term, its phenomenon and to allow for cross-study comparison. In reviewing social scientists' data-sharing behaviors, Kim and Adler (2015) established that personal motivations and norms of data-sharing supported data sharing practices.…”

Section: Literature Reviewmentioning

confidence: 99%

African researchers do not think differently about Open Data

Skelly

Chiware

2022

Front. Res. Metr. Anal.

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A key motivation for Open Science is accessibility. For researchers in resource-poor economies, this translates into access to the methods, data and publications that will foster scientific research and discovery in such communities and environments. Attitudes toward Open Science are in flux, and there is a growing awareness of the roles and responsibilities that researchers have to one another in this regard. This paper explores how African researchers approach issues relating to Open Data by reporting on the State of Open Data Report data. Focusing on the attitudes toward Open Data, this paper reports on how African researchers view (i) data sharing, (ii) the use of shared data, and (iii) the Open Data ecosystem. The findings show that, although the attitudes of African researchers have changed over time, they are not very different from those held by their international counterparts. These findings will aid policymakers, as well as academic and research institutions, in highlighting the areas of future growth for Open Data in Africa.

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Section: Literature Reviewmentioning

confidence: 99%

African researchers do not think differently about Open Data

Skelly

Chiware

2022

Front. Res. Metr. Anal.

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“…Specific cases of data sharing are being examined. Thoegersen and Borlund (2021) explore data sharing definitions within the research community. Savage and Vickers (2009) Additionally, data sharing invokes smart cities (Allam and Jones, 2020;Makhdoom et al, 2020), industry (Qi et al, 2021), vehicle communication (Alharthi et al, 2021;Lu et al, 2020b), business, economy and logistics (Li et al, 2018;Liu et al, 2021b;Perko et al, 2015), democratic processes (Leavitt, 2011) and others.…”

Section: Data Sharing and Related Conceptsmentioning

confidence: 99%

Data sharing concepts: a viable system model diagnosis

Perko

2022

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PurposeArtificial intelligence (AI) reasoning is fuelled by high-quality, detailed behavioural data. These can usually be obtained by the biometrical sensors embedded in smart devices. The currently used data collecting approach, where data ownership and property rights are taken by the data scientists, designers of a device or a related application, delivers multiple ethical, sociological and governance concerns. In this paper, the author is opening a systemic examination of a data sharing concept in which data producers execute their data property rights.Design/methodology/approachSince data sharing concept delivers a substantially different alternative, it needs to be thoroughly examined from multiple perspectives, among them: the ethical, social and feasibility. At this stage, theoretical examination modes in the form of literature analysis and mental model development are being performed.FindingsData sharing concepts, framework, mechanisms and swift viability are examined. The author determined that data sharing could lead to virtuous data science by augmenting data producers' capacity to govern their data and regulators' capacity to interact in the process. Truly interdisciplinary research is proposed to follow up on this research.Research limitations/implicationsSince the research proposal is theoretical, the proposal may not provide direct applicative value but is largely focussed on fuelling the research directions.Practical implicationsFor the researchers, data sharing concepts will provide an alternative approach and help resolve multiple ethical considerations related to the internet of things (IoT) data collecting approach. For the practitioners in data science, it will provide numerous new challenges, such as distributed data storing, distributed data analysis and intelligent data sharing protocols.Social implicationsData sharing may post significant implications in research and development. Since ethical, legislative moral and trust-related issues are managed in the negotiation process, data can be shared freely, which in a practical sense expands the data pool for virtuous research in social sciences.Originality/valueThe paper opens new research directions of data sharing concepts and space for a new field of research.

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“…A number of researches have been deliberately directed beyond the narrow concept of OA (Lacey et al, 2020;Thoegersen & Borlund, 2022;Pardo et al, 2018) to the broader objective of open science to see how such a practice could bring greater benefits to society.…”

Section: Literature Reviewmentioning

confidence: 99%

Perception of Open Science in the Scientific Community of the Republic of Moldova

Țurcan

Cuciureanu

Cujba

et al. 2022

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Open Science becomes the basic concept in organizing and conducting the research and development process. The opening of the process of research and communication of science is supported and promoted both at the international level and at the national level in many countries through science policies and actions. At present, no Open Science policy is approved at the national level in the Republic of Moldova, but there are actions, undertaken by various organizations or within some projects, that promote this concept. And recently, the national authority in the field of science policy has been concerned about the promotion of Open Science principles in the country. Policy development and implementation of Open Science principles is difficult without involving all stakeholders and without knowledge of the current situation, both in terms of technical and legislative issues, and especially in terms of awareness of the need and willingness of people to contribute to this process. In this context, we set out to carry out this study, taking into account the insufficient level of debates and analyzes on Open Science subject carried out in the Republic of Moldova. Its purpose is to determine the attitude, the level of awareness and involvement in issues related to Open Science and its elements in the Republic of Moldova, which will serve to develop Open Science policies and instruments at national and institutional levels.

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Researcher attitudes toward data sharing in public data repositories: a meta-evaluation of studies on researcher data sharing

Cited by 27 publications

References 49 publications

African researchers do not think differently about Open Data

African researchers do not think differently about Open Data

Data sharing concepts: a viable system model diagnosis

Perception of Open Science in the Scientific Community of the Republic of Moldova

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