Trust in qualitative data repositories

Frank, Rebecca D.; Chen, Zui; Crawford, Erica; Suzuka, Kara; Yakel, Elizabeth

doi:10.1002/pra2.2017.14505401012

Cited by 11 publications

(10 citation statements)

References 34 publications

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“…9 South African environmental Observation network, cape town, South Africa. 10 Ocean networks canada, University of Victoria, Victoria, canada. 11 Springer nature, London, UK.…”

Section: Context and Historymentioning

confidence: 99%

“…Various studies have found that transparency is associated with trust of digital repositories 9 . For example, for users of video data, "transparency of repository practices, and especially data curation practices, are important for trust" 10 . Studying the data repository staff perceptions of repository certification, Donaldson, et al 11 , found that the process of acquiring certification contributed to the transparency of their repository, among other benefits.…”

Section: Impact Of the Trust Principlesmentioning

confidence: 99%

“…The adoption of technological capabilities should be completed in conjunction with the organizational, managerial and stewardship capabilities that facilitate the continuing use of a data repository's holdings 10,21 . Describing the needs for earning public trust of health data, Van Staa et al 22 called for capabilities that would "combine new technologies with clear accountability, transparent operations, and public trust …", stating that "data stewardship is not just about physical and digital security: staff training, standard operating procedures, and the skills and attitudes of staff are also important" 22 .…”

Section: Impact Of the Trust Principlesmentioning

confidence: 99%

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The TRUST Principles for digital repositories

et al. 2020

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“…9 South African environmental Observation network, cape town, South Africa. 10 Ocean networks canada, University of Victoria, Victoria, canada. 11 Springer nature, London, UK.…”

Section: Context and Historymentioning

confidence: 99%

Section: Impact Of the Trust Principlesmentioning

confidence: 99%

Section: Impact Of the Trust Principlesmentioning

confidence: 99%

See 1 more Smart Citation

The TRUST Principles for digital repositories

et al. 2020

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“…Trustworthy Repositories Audit and Certification: Criteria and Checklist (TRAC)/ISO 16363 and Data Seal of Approval (DSA) are some well-known efforts to preserve and provide access to trusted content through repository certification. Since Prieto (2009) argued the need to understand trust from users' perspectives, several research studies have also demonstrated how a repository's intermediary role contributes to data reusers' trust (Donaldson and Conway, 2015;Frank et al, 2017;Yakel et al, 2013;Yoon, 2014a). While past studies underscore the significance of users' trust in repository and curation activities, they also present the need to investigate users' trust in the larger context of data reuse.…”

Section: Introductionmentioning

confidence: 99%

Factors of trust in data reuse

Yoon

Lee

2019

OIR

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Purpose The purpose of this paper is to quantitatively examine factors of trust in data reuse from the reusers’ perspectives. Design/methodology/approach This study utilized a survey method to test the proposed hypotheses and to empirically evaluate the research model, which was developed to examine the relationship each factor of trust has with reusers’ actual trust during data reuse. Findings This study found that the data producer (H1) and data quality (H3) were significant, as predicted, while scholarly community (H3) and data intermediary (H4) were not significantly related to reusers’ trust in data. Research limitations/implications Further disciplinary specific examinations should be conducted to complement the study findings and fully generalize the study findings. Practical implications The study finding presents the need for engaging data producers in the process of data curation, preferably beginning in the early stages and encouraging them to work with curation professionals to ensure data management quality. The study finding also suggests the need for re-defining the boundaries of current curation work or collaborating with other professionals who can perform data quality assessment that is related to scientific and methodological rigor. Originality/value By analyzing theoretical concepts in empirical research and validating the factors of trust, this study fills this gap in the data reuse literature.

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“…They also assess the reputation and the competency of the original data collectors or producers (Zimmerman, 2007). Researchers may also contact the original data collector or producer (Niu, 2009a) or assess the trustworthiness of data curators and repositories (Donaldson & Conway, 2015;Frank, Chen, Crawford, Suzuka, & Yakel, 2017;Yoon, 2014a).…”

Section: Literature Reviewmentioning

confidence: 99%

A causal model to explain data reuse in science: a study in health disciplines

Borrás¹,

Inmaculada²

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and Areti Angeliki Veroniki (PhD). Thanks for all your time answering my questions during the interviews and for responding my emails. Without you, this dissertation would not exist.Second, I want to thanks my three PhD advisors for their intellectual and emotional support. Their different backgrounds have enriched my learning process, and contributed to the completion of this dissertation in varied ways. Choices and imperfections in this dissertation are my own. Thanks also to Ian Graham (PhD) and Sylvie Grosjean (PhD) for being my host mentors with the ERASMUS MUNDUS NOVADOMUS CHEMEDPHO scholarship (2016-2017), which funded me in order to conduct most of my empirical research in Canada. Thanks to Amparo Cortés Lucas (PhD), who was the coordinator of the NOVADOMUS CHEMEDPHO for all her support during my application, and my stay in Canada. Thanks to Ángela Villena Aleixos, for her patience and hard work in drawing with AUTOCAD all the versions of some images included in this dissertation and some other images, which I have finally decided to leave out.Thanks to all assessors and jury members who have accepted pleasingly to assess this dissertation, as either principals or substitutes. I am sure that they will do a very good job providing me with thoughtful feedback. Thanks to all administrative staff (Mila, Beatriz, Rosa) of the Departamento A causal model to explain data reuse in science: a study in health disciplines v de Comunicación Audiovisual, Documentación e Historia del Arte (UPV) for all their administrative support of all bureaucratic issues for the submission and defense of my dissertation.I am also grateful to very generous people, who I have met during my PhD and have contributed in varied aspects along the dissertation journey. I was very fortunate to find all of them on my way. They are my colleagues at INGENIO, especially -in no especial order-Isabel Piqueras,

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Trust in qualitative data repositories

Cited by 11 publications

References 34 publications

The TRUST Principles for digital repositories

The TRUST Principles for digital repositories

Factors of trust in data reuse

A causal model to explain data reuse in science: a study in health disciplines

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