Overview of disciplinary data sharing practices and promotion of open data in science

Kim, Jihyun

doi:10.6087/kcse.149

Cited by 11 publications

(8 citation statements)

References 13 publications

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“…For instance, consider the prevalence of the peer‐reviewed research journal article as a unit of scholarship across all disciplines. In contrast, what counts as research data depends upon the field, and data sharing attitudes and practices vary by discipline and research role (Kim, 2019; Johnson et al, 2016; Tenopir et al, 2011; Thoegersen, 2018). Even in cases where funders, institutions, journals, and community norms require that researchers make their data available, the data sharing process itself is neither standardized nor seamless.…”

Section: Infrastructure Characteristics Of Research Data Repositoriesmentioning

confidence: 99%

Understanding Research Data Repositories as Infrastructures

Boyd

2021

Proceedings of the Association for Information Science and Tech

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This study discusses the properties of research data repositories and explores metadata about 2,646 entries in the Registry of Research Data Repositories (re3data.org) to identify the characteristics attributed to infrastructures they exhibit. The results reveal how research data repositories function as information infrastructure for scientific community members and contribute to the small body of literature that examines data repositories through a sociotechnical lens.

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Section: Infrastructure Characteristics Of Research Data Repositoriesmentioning

confidence: 99%

Understanding Research Data Repositories as Infrastructures

Boyd

2021

Proceedings of the Association for Information Science and Tech

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“…Despite these challenges, prior efforts in data-sharing networks in fields such as oceanography, seismology and ecology have successfully highlighted the importance of multilateral data sharing, and what proved possible during the Cold War era for example [60].…”

Section: Challenges Of Data Networkmentioning

confidence: 99%

Scientific Cooperation: Supporting Circumpolar Permafrost Monitoring and Data Sharing

Bouffard

Uryupova²,

Dodds

et al. 2021

Land

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While the world continues to work toward an understanding and projections of climate change impacts, the Arctic increasingly becomes a critical component as a bellwether region. Scientific cooperation is a well-supported narrative and theme in general, but in reality, presents many challenges and counter-productive difficulties. Moreover, data sharing specifically represents one of the more critical cooperation requirements, as part of the “scientific method [which] allows for verification of results and extending research from prior results”. One of the important pieces of the climate change puzzle is permafrost. In general, observational data on permafrost characteristics are limited. Currently, most permafrost data remain fragmented and restricted to national authorities, including scientific institutes. The preponderance of permafrost data is not available openly—important datasets reside in various government or university labs, where they remain largely unknown or where access restrictions prevent effective use. Although highly authoritative, separate data efforts involving creation and management result in a very incomplete picture of the state of permafrost as well as what to possibly anticipate. While nations maintain excellent individual permafrost research programs, a lack of shared research—especially data—significantly reduces effectiveness of understanding permafrost overall. Different nations resource and employ various approaches to studying permafrost, including the growing complexity of scientific modeling. Some are more effective than others and some achieve different purposes than others. Whereas it is not possible for a nation to effectively conduct the variety of modeling and research needed to comprehensively understand impacts to permafrost, a global community can. In some ways, separate scientific communities are not necessarily concerned about sharing data—their work is secured. However, decision and policy makers, especially on the international stage, struggle to understand how best to anticipate and prepare for changes, and thus support for scientific recommendations during policy development. To date, there is a lack of research exploring the need to share circumpolar permafrost data. This article will explore the global data systems on permafrost, which remain sporadic, rarely updated, and with almost nothing about the subsea permafrost publicly available. The authors suggest that the global permafrost monitoring system should be real time (within technical and reasonable possibility), often updated and with open access to the data (general way of representing data required). Additionally, it will require robust co-ordination in terms of accessibility, funding, and protocols to avoid either duplication and/or information sharing. Following a brief background, this article will offer three supporting themes, (1) the current state of permafrost data, (2) rationale and methods to share data, and (3) implications for global and national interests.

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“…In recent years, data has become an important asset for many organizations, providing new business opportunities for enterprises to improve their business operations [1]. The increasing need for large-scale and interdisciplinary research provides momentum for initiating data sharing [2]. Data sharing refers to sharing one's original data with others in a formal or informal way, which provides "raw materials" for data analysis, reduces repetitive labor, and enables data to be acquired by stakeholders in a timely manner to release data value [3].…”

Section: Introductionmentioning

confidence: 99%

Corporate Data Sharing, Leakage, and Supervision Mechanism Research

2021

Sustainability

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Data sharing helps to make full use of each other’s data and enable the digital economy. With the gradual rise of corporate data sharing, the frequent occurrence of data leakage events highlights the dilemma of data sharing, leakage and supervision, which infringes on the data assets of the leaked party. Our paper aims to design an effective data supervision mechanism and achieve the stability of data sharing alliance. Therefore, this paper considers the data technology capabilities of both parties of the data sharing alliance and the benefits and loss of data leakage, establishes the game model and supervision mechanism of data sharing, leakage and supervision under the condition of complete information, and analyzes the game equilibrium and the influence of different supervision levels on the company’s data sharing and leakage behavior. The results show that the company sharing and leaking behavior is affected by both the level of data supervision fines and the relative technical level. Our model can make up for the weakness of the low-tech company, control the company’s choice of leaking behaviors, and ensure the stability of data sharing alliance by designing reasonable data supervision mechanism, especially the severe data supervision strategy.

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Overview of disciplinary data sharing practices and promotion of open data in science

Cited by 11 publications

References 13 publications

Understanding Research Data Repositories as Infrastructures

Understanding Research Data Repositories as Infrastructures

Scientific Cooperation: Supporting Circumpolar Permafrost Monitoring and Data Sharing

Corporate Data Sharing, Leakage, and Supervision Mechanism Research

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