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            "abstractNote": "Libraries hold some of the most significant collections of Indigenous Cultural and Intellectual Property (ICIP) in the country. From manuscripts and artworks to recordings, photographs, and Indigenous data, these collections preserve knowledge that is deeply connected to culture, Country, and community. As libraries digitise more of their holdings and make them accessible online, their responsibilities around cultural safety, lawful access, and Indigenous authority grow more complex.To support t",
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            "abstractNote": "Archivists occasionally describe digital repositories as being “not real,” suggesting that their technical digital preservation infrastructure is inadequate to the task of digital preservation. This article discusses the concept of digital repositories, highlighting the distinction between digital repository technical infrastructure and institutions collecting digital materials, and what it means to be a “real” digital repository. It argues that the Open Archival Information System Reference Model and notions of Trustworthy Digital Repositories are inadequate for determining the “realness” of a digital repository and advocates using maturity models as a framework for discussing repository capability.",
            "publicationTitle": "The Code4Lib Journal",
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                    "firstName": "C.",
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                    "firstName": "C. B.",
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            "abstractNote": "rETHICS - Research Ethics Training for Health in Indigenous Communities\nDr. Cynthia Pearson and colleagues have produce the rETHICS curriculum and a compete trainers toolkit for researchers and community members who are engaged in research conducted with Indigenous communities.\n\nrETHICS training toolkit\n\nThe toolkit consists of the rETHICS curriculum, facilitator guides, PowerPoint presentations, and case studies presented in six modules. Also included are quiz questions, an answer key, and a certificate of completion. Each PowerPoint presentation is matched with a step-by-step facilitator guide that includes in-depth information of each human subjects training content area and a scripted guide. As part of the training, there are interactive exercises that discuss different case studies, such as the 1979 Barrow Alcohol Study and the 1989 Havasupai case. The toolkit provides approximately 6 hours of training.\n\nAt the conclusion of the course, participants will have completed the following required training for the conduct with human subjects:\n\nResearch with AIAN Communities\nThe History of Ethical Regulations\nWhat is Human Subjects Research?\nInstitutional Review Board (IRB)\nRisks and Benefits from Research\nEnsuring Confidentiality and Managing Risk\nInformed Consent\nVulnerability\nChildren in Research\n Unanticipated Problems and Reporting Requirements in Research",
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            "abstractNote": "Abstract \n            Most studies of trusted digital repositories have focused on the internal factors delineated in the Open Archival Information System (OAIS) Reference Model—organizational structure, technical infrastructure, and policies, procedures, and processes. Typically, these factors are used during an audit and certification process to demonstrate a repository can be trusted. The factors influencing a repository's designated community of users to trust it remains largely unexplored. This article proposes and tests a model of trust in a data repository and the influence trust has on users' intention to continue using it. Based on analysis of 245 surveys from quantitative social scientists who published research based on the holdings of one data repository, findings show three factors are positively related to data reuser trust—integrity, identification, and structural assurance. In turn, trust and performance expectancy are positively related to data reusers' intentions to return to the repository for more data. As one of the first studies of its kind, it shows the conceptualization of trusted digital repositories needs to go beyond high‐level definitions and simple application of the OAIS standard. Trust needs to encompass the complex trust relationship between designated communities of users that the repositories are being built to serve.",
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            "pages": "25-35",
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            "abstractNote": "Purpose \n              Data quality assurance (DQA) is essential for enabling the sharing and reuse of research data, especially given the increasing focus on data transparency, reproducibility, credibility and validity in research. Although the literature on research data curation is vast, there remains a lack of theory-guided exploration of DQA modeling in research data repositories (RDRs). \n             \n             \n              Design/methodology/approach \n              This study addresses this gap by examining 12 distinct cases of DQA-related knowledge organization tools, including four metadata vocabularies, three metadata schemas, one ontology and four standards used to guide DQA work in RDRs. \n             \n             \n              Findings \n              The study analyzed the cases utilizing a theoretical framework based on activity theory and data quality literature and synthesized a model and a knowledge artifact, a DQA ontology (DQAO, Lee et al., 2024), that encodes a DQA theory for RDRs. The ontology includes 127 classes, 44 object properties, 7 data properties and 18 instances. The article also uses problem scenarios to illustrate how the DQAO can be integrated into the FAIR ecosystem. \n             \n             \n              Originality/value \n              The study provides valuable insights into DQA theory and practice in RDRs and offers a DQA ontology for designing, evaluating and integrating DQA workflows within RDRs.",
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