Towards a Taxonomy of Trustworthy Digital Repository Impacts

Donaldson, Devan Ray; Russell, Samuel Vodicka

doi:10.1002/pra2.473

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Research about TDRs has been critical of various aspects of the certification process such as the Designated Community (e.g., Bettivia, 2016; Frank & Rothfritz, 2023; Moles, 2022), but overall has emphasized the importance of understanding the value proposition of certification (e.g., Donaldson & Russell, 2021). However, scholarship has not yet established whether TDRs are more effective at long‐term preservation than other repositories, meaning that the primary goal of certification – to identify and label repositories as trustworthy for long‐term preservation – remains an open question (Bak, 2016; Donaldson, 2020; Maemura et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Audit Team Communication and Risk in Trustworthy Digital Repository Certification

Frank,

Wylie

2023

Proceedings of the Association for Information Science and Tech

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This paper aims to investigate the Trustworthy Repositories Audit & Certification (TRAC) process by examining the communication practices and risk communication dynamics among auditors during the audit. Through an in‐depth, qualitative analysis of the audit process and the interactions between auditors, this paper provides valuable insights into the importance of diverse backgrounds, effective communication, and consensus building in the assessment of TRAC checklist requirements. Furthermore, the paper highlights potential areas of improvement within the audit process, addressing concerns related to disagreements, reliance on leadership, and the comprehensiveness of risk identification and communication.

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Section: Literature Reviewmentioning

confidence: 99%

Audit Team Communication and Risk in Trustworthy Digital Repository Certification

Frank,

Wylie

2023

Proceedings of the Association for Information Science and Tech

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Researching Informational Technologies of Trust: From Blockchain to Paradata and Digital Archives

Huvila,

Lemieux,

Sköld

et al. 2024

Proceedings of the Association for Information Science and Tech

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Information science research has a long‐time interest in diverse informational means of codifying, communicating and maintaining trust as an antecedent and outcome of information, and a central constituent of information practices. While the landscape of the gatekeepers and guarantors of access to trustworthy information for a long time remained relatively stable, since the turn of the millennium, it has evolved rapidly with several new and repurposed social and digital technologies developed and repurposed for mediating and preserving trust. The purpose of this panel is to engage in exploring from theoretical, practical and empirical perspectives such technologies across the information field. The panelists present research conceptualizing, documenting, developing and describing informational technologies of mediating and preserving trust specifically addressing: 1) what different approaches to mediating and maintaining trust exist and can be identified in information science and technology research and practice; 2) how different information technologies of trust influence the understanding and conceptualisations of trust and trustworthy information; and 3) what novel insights from the current state‐of‐the‐art research can be drawn for helping practitioners to empower and put people first when interacting with informational technologies of trust in different areas of the information field, including knowledge organisation and information behaviour and practices, records management, digital preservation, and and development of information systems and services.

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Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers

Seneviratne

Adams

McGuinness

2023

Trans. Soc. Comput.

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We present a trustworthy mechanism for sharing, reusing, and repurposing data to address the challenge of the costly and time-consuming effort needed to bring an innovative idea from the bench (basic research) to the bedside (clinical level). Even though a researcher may generate a solution on their own, other aspects of research, including peer review and dissemination of data/results, have an inherent social component. Compared to the centralized mechanisms of data-sharing (and the subsequent reuse and repurposing), many, if not all, aspects of these processes can be decentralized by using blockchain (for full decentralized and autonomous control), coupled with provenance (to ascertain how and where the resources have been leveraged) and incentive semantics (for characterizing how someone would be rewarded for their contributions). By capturing metadata details at each step of the workflow, data will be easier to audit, verify, and merge with related datasets. It is common in settings where data is either sensitive or valuable (or both) to have formal data use agreements or sometimes less formal rules for reuse, which we have captured in smart contracts. A key innovative aspect of this work is the departure from the traditional natural language-based data use agreements to make these agreements more computable, resulting in enhanced usability and interoperability by a broader community. We have developed the Data Sharing Ontology, a structured vocabulary to guide various incentive mechanisms and criteria used in the decentralized protocol we introduced with smart contracts. Our solution can track data reuse, provide peer reviews on accountable data reuse, and report any violations, thus providing metrics for measuring data producers’ impact on reward structures and research measures. We introduce the SCIENCE-index designed to incentivize data-sharing in scientific research, which builds upon prior indices used in academic research, such as the h-index and the data-index. The SCIENCE-index is publicly available and automatically calculated by a smart contract based on an individual’s data sharing, reuse, and responsible stewardship activities. By incentivizing fair and honest data-related activities, the SCIENCE-index can help improve the speed, cost, and quality of scientific research. As an example application of this decentralized data-sharing framework, we demonstrate how this approach could radically improve the quality and the efficiency of scientific output in the setting of COVID-19 research data-sharing from the National COVID Cohort Collaborative (N3C).

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Towards a Taxonomy of Trustworthy Digital Repository Impacts

Cited by 3 publications

References 9 publications

Audit Team Communication and Risk in Trustworthy Digital Repository Certification

Audit Team Communication and Risk in Trustworthy Digital Repository Certification

Researching Informational Technologies of Trust: From Blockchain to Paradata and Digital Archives

Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers

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