Role of communication in data reuse

Yoon, Ayoung

doi:10.1002/pra2.2017.14505401050

Cited by 10 publications

(9 citation statements)

References 37 publications

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“…Establishing data quality also depends heavily on the absence of errors and data completeness. Both developing trust and determining quality involve social considerations (Yoon, 2017, Faniel & Yakel, 2017. Although respondents across disciplines consistently ranked having a personal relationship with the data creator as being unimportant in establishing trust, they still weigh other "social" factorsi.e.…”

Section: By Establishing Trust and Data Qualitymentioning

confidence: 99%

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Lost or Found? Discovering Data Needed for Research

Gregory

Groth

Scharnhorst

et al. 2020

Harvard Data Science Review

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Finding or discovering data is a necessary precursor to being able to reuse data, although relatively little large-scale empirical evidence exists about how researchers discover, make sense of and (re)use data for research. This study presents evidence from the largest known survey investigating how researchers discover and use data that they do not create themselves. We examine the data needs and discovery strategies of respondents, propose a typology for data (re)use and probe the role of social interactions and other research practices in data discovery, with the aim of informing the design of community-centric solutions and policies.

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Section: By Establishing Trust and Data Qualitymentioning

confidence: 99%

“…Digital Science et al, 2018;Berghmans et al, 2017). Information about data search strategies, criteria important for reuse, and the role of social communications is found within surveys designed to develop data metrics (Kratz & Strasser, 2015) and to determine factors affecting data reuse (Kim & Yoon, 2017;Yoon, 2017).…”

Section: Introductionmentioning

confidence: 99%

Lost or Found? Discovering Data Needed for Research

Gregory

Groth

Scharnhorst

et al. 2020

Harvard Data Science Review

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“…Fecher et al (2015) developed a conceptual framework of data sharing from the researcher's perspective. Additionally, researchers have examined how communication impacts data reusers (Yoon, 2017). Most closely related to this study, Joo and Kim's (2017) examined data reuse behaviors of engineering researchers, however, still focused on attitudes towards data reuse.…”

Section: Literature Reviewmentioning

confidence: 99%

Data matters: how earth and environmental scientists determine data relevance and reusability

Murillo

2019

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Purpose The purpose of this study is to examine the information needs of earth and environmental scientists regarding how they determine data reusability and relevance. Additionally, this study provides strategies for the development of data collections and recommendations for data management and curation for information professionals working alongside researchers. Design/methodology/approach This study uses a multi-phase mixed-method approach. The test environment is the DataONE data repository. Phase 1 includes a qualitative and quantitative content analysis of deposited data. Phase 2 consists of a quasi-experiment think-aloud study. This paper reports mainly on Phase 2. Findings This study identifies earth and environmental scientists’ information needs to determine data reusability. The findings include a need for information regarding research methods, instruments and data descriptions when determining data reusability, as well as a restructuring of data abstracts. Additional findings include reorganizing of the data record layout and data citation information. Research limitations/implications While this study was limited to earth and environmental science data, the findings provide feedback for scientists in other disciplines, as earth and environmental science is a highly interdisciplinary scientific domain that pulls from many disciplines, including biology, ecology and geology, and additionally there has been a significant increase in interdisciplinary research in many scientific fields. Practical implications The practical implications include concrete feedback to data librarians, data curators and repository managers, as well as other information professionals as to the information needs of scientists reusing data. The suggestions could be implemented to improve consultative practices when working alongside scientists regarding data deposition and data creation. These suggestions could improve policies for data repositories through direct feedback from scientists. These suggestions could be implemented to improve how data repositories are created and what should be considered mandatory information and secondary information to improve the reusability of data. Social implications By examining the information needs of earth and environmental scientists reusing data, this study provides feedback that could change current practices in data deposition, which ultimately could improve the potentiality of data reuse. Originality/value While there has been research conducted on data sharing and reuse, this study provides more detailed granularity regarding what information is needed to determine reusability. This study sets itself apart by not focusing on social motivators and demotivators, but by focusing on information provided in a data record.

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“…According to Yoon (2017), "while different disciplines have various cultures and practices relating to data, existing research presents some common challenges in data reuse across disciplines. The major challenge is transferring information regarding the contexts of data".…”

Section: Introductionmentioning

confidence: 99%

Alter-Value in Data Reuse: Non-Designated Communities and Creative Processes

Boutard

2020

Data Science Journal

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This paper builds on the investigation of data reuse in creative processes to discuss 'epistemic pluralism' and data 'alter-value' in research data management. Focussing on a specific non-designated community, we conducted semi-structured interviews with five artists in relation to five works. Data reuse is a critical component of all these works. The qualitative content analysis brings to light agonistic-antagonistic practices in data reuse and shows multiple deconstructions of the notion of data value as it is portrayed in the data reuse literature. Finally, the paper brings to light the benefits of including such practices in the conceptualization of data curation.

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Role of communication in data reuse

Cited by 10 publications

References 37 publications

Lost or Found? Discovering Data Needed for Research

Lost or Found? Discovering Data Needed for Research

Data matters: how earth and environmental scientists determine data relevance and reusability

Alter-Value in Data Reuse: Non-Designated Communities and Creative Processes

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