Developing Criteria to Establish Trusted Digital Repositories

Faundeen, John L.

doi:10.5334/dsj-2017-022

Cited by 9 publications

(7 citation statements)

References 2 publications

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“…(Consultative Committee for Space Data Systems, 2011, pp. 2-11) Despite the centrality of risk for repository certification, research has focused on concepts such as trustworthiness rather than risk (e.g., Bak, 2016;Dryden, 2011;Faundeen, 2017). Some research about TDR certification processes such as TRAC has been optimistic, arguing that certification ensures that the institutions tasked with caring for valuable data and information are suited to the task (e.g., Giaretta et al, 2011;Husen et al, 2017;Reilly, Jr. and Waltz, 2013).…”

Section: Risk In Trustworthy Digital Repository Audit and Certificationmentioning

confidence: 99%

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Designated Community: uncertainty and risk

Frank

Rothfritz

2022

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PurposeThis article explores the tension between the concept of a Designated Community (DC) as a foundational element in Trustworthy Digital Repository (TDR) certification and curators' uncertainty about how to interpret and apply this concept in practice.Design/methodology/approachThis research employs a qualitative research design involving in-depth semi-structured interviews with stakeholders in the Trustworthy Digital Repository Audit and Certification (TRAC) process.FindingsThe authors' findings indicate that stakeholders in the audit and certification process viewed their uncertainty about how to apply the concept of a DC in the context of an audit as a source of risk for digital repositories and the repositories' collections.Originality/valueThis article brings new insights to digital preservation by applying social theories of risk to trustworthy digital repository audit and certification processes, with an emphasis on the concept of DC.

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Section: Risk In Trustworthy Digital Repository Audit and Certificationmentioning

confidence: 99%

“…2-11) Despite the centrality of risk for repository certification, research has focused on concepts such as trustworthiness rather than risk (e.g. Bak, 2016;Dryden, 2011;Faundeen, 2017).…”

Section: Risk In Trustworthy Digital Repository Audit and Certificationmentioning

confidence: 99%

Designated Community: uncertainty and risk

Frank

Rothfritz

2022

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“…In addition to (or complementary to) formal certifications, data repositories may conduct data stewardship maturity assessment exercises to help in identifying data risks and informing data risk mitigation strategies (Faundeen 2017). "Maturity" is used in the sense presented by Peng et al (2015), and refers to the level of performance attained to ensure preservability, accessibility, usability, transparency/traceability, and sustainability of data, along with the level of performance in data quality assurance, data quality control/monitoring, data quality assessment, and data integrity checks.…”

Section: Repository Certifications and Maturity Assessmentmentioning

confidence: 99%

Risk Assessment for Scientific Data

Mayernik¹,

Breseman²,

Downs³

et al. 2020

Data Science Journal

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Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data use is a key step in preventing or minimizing data loss. This paper presents an analysis of data risk factors that scientific data collections may face, and a data risk assessment matrix to support data risk assessments to help ameliorate those risks. The goals of this work are to inform and enable effective data risk assessment by: a) individuals and organizations who manage data collections, and b) individuals and organizations who want to help to reduce the risks associated with data preservation and stewardship. The data risk assessment framework presented in this paper provides a platform from which risk assessments can begin, and a reference point for discussions of data stewardship resource allocations and priorities.

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“…Portanto, a relação entre RDCs e critérios para sua adoção vem sendo debatida e convalidada pela comunidade científica em diferentes áreas do conhecimento nos últimos anos, mas sem a formulação de instrumentos análogos ao proposto por este projeto. (DRYDEN, 2011;JOHNSTON, 2012;FAUNDEEN, 2017).…”

Section: A Análise Das Aps Para Aferir a Maturidade (Maturity)unclassified

Modelo de Maturidade para Repositórios Digitais: um caminho para sua adoção na gestão de dados de pesquisa | Digital Repositories Maturity Model: a way to its adoption in Research Data Management

Ribeiro

2019

Liinc Rev.

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RESUMO O acesso aberto à produção em Ciência e Tecnologia vem impulsionando os debates sobre a adoção e uso de instrumentos para compartilhamento da produção científica. Este relato propõe um modelo de maturidade que trata de forma integrada os repositórios confiáveis de documentos e os repositórios de dados, formando a noção de repositório digital integrado, para posicionar a instituição em um nível de maturidade para estes instrumentos de compartilhamento da produção científica. Apresenta o estudo sobre modelos de maturidade como forma de avaliação da qualidade para repositórios. Adota o modelo CMMI como referência, relacionado os respectivos níveis. Apresenta um estudo sobre repositórios confiáveis e critérios de avaliação, finalizando a proposta com a inclusão dos princípios FAIR no processo de avaliação. Fazendo uso de uma combinação de métodos para desenvolvimento da investigação, propõe a avaliação da qualidade de repositórios do estado do Rio de Janeiro segundo o modelo elaborado. Propõe a consolidação dos resultados em um modelo de avaliação estruturado em níveis de maturidade, incluindo um método de avaliação para repositórios integrados.Palavras-chave: Modelo de Maturidade; Repositório Digital; Gestão da Qualidade; Ciência Aberta; Repositório Confiável; Princípios FAIR.ABSTRACT Open access to research outcomes and data obtained in Science and Technology production has risen debates about the adoption and use of sharing tools for those outcomes. This research proposes a maturity model that unifies trusted document repositories and data repositories to form a notion of an integrated digital repository, setting this institution on a maturity level regarding these scientific production sharing tools. It also presents studies on these maturity models as ways to evaluate the quality of those data repositories. It adopts the CMMI model as a reference, relating to its respective levels. It presents a study on trustworthy repositories and evaluation criteria and concludes with the incorporation of FAIR principles into the evaluating process. Using a combination of methods to develop its investigation, the research proposes the use of this maturity model to evaluate Rio de Janeiro state repositories. Finally, it proposes the consummation of its results using an evaluation scheme structured in maturity levels, which includes an evaluation method for integrated repositories.Keywords: Maturity Model; Digital Repository; Quality Management; Open Science; Trustworthy Repository; FAIR Principles.

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Developing Criteria to Establish Trusted Digital Repositories

Cited by 9 publications

References 2 publications

Designated Community: uncertainty and risk

Designated Community: uncertainty and risk

Risk Assessment for Scientific Data

Modelo de Maturidade para Repositórios Digitais: um caminho para sua adoção na gestão de dados de pesquisa | Digital Repositories Maturity Model: a way to its adoption in Research Data Management

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