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Data managers' perspectives on OAIS designated communities and the FAIR principles: mediation, tools and conceptual models
Journal of Documentation ( IF 2.034 ) Pub Date : 2020-06-01 , DOI: 10.1108/jd-10-2019-0204
Devan Ray Donaldson , Ewa Zegler-Poleska , Lynn Yarmey

This paper presents results of a study on data managers' perspectives on the evolution of Designated Communities and the FAIR Principles using an example of a geological repository.,The study employed 10 semi-structured interviews with data managers at a state geological survey and qualitative analysis of the interview transcripts.,The Designated Community for a collection in this data repository has evolved from petroleum industry users to include academic researchers and the public. This change was accompanied by significant user interaction changes from in-person, reference interview-style conversations to anonymous digital, automated interactions. The main factors driving these changes were developments in technology which allowed the data managers to shift data discovery and access into the online environment. The online data portal has seen increasing non-expert use, driving the data team to develop additional services for these new communities. Repository data team participants varied in their familiarity with the FAIR Principles and their perceptions of the FAIRness of the data in the repository.,The study was limited to one organization in the United States. However, the results are applicable to other data environments working through the tensions between high-level global frameworks such as FAIR, and continuing to serve the day-to-day needs of their designated communities. Continued work on how to assess success in this complex space is needed.,This paper lies at the nexus of two digital preservation frameworks and contributes to a limited extant literature providing guidance on implementing the concept of a Designated Community in practice.

中文翻译:

数据管理员对OAIS指定社区和FAIR原则的看法:中介,工具和概念模型

本文以一个地质仓库为例,介绍了数据管理者对指定社区和公平原则演变的观点的研究结果。该研究在国家地质调查和定性分析中对数据管理者进行了10次半结构化访谈。在访谈记录中,指定的社区已从石油行业的用户发展到包括学术研究人员和公众。这一变化伴随着用户交互的重大变化,从面对面的参考访谈式对话到匿名的数字化自动交互。推动这些变化的主要因素是技术的发展,技术的发展使数据管理员可以将数据发现和访问转移到在线环境中。在线数据门户网站已经看到越来越多的非专家使用,这促使数据团队为这些新社区开发附加服务。存储库数据团队参与者对FAIR原则的熟悉程度以及对存储库中数据的FAIRness的理解各不相同。该研究仅限于美国的一个组织。但是,该结果适用于通过FAIR等高级全球框架之间的紧张关系工作并继续满足其指定社区的日常需求的其他数据环境。需要继续研究如何在这个复杂的空间中评估成功。本文位于两个数字保存框架之间,对有限的现有文献有所贡献,为在实践中实施指定社区的概念提供指导。
更新日期:2020-06-01
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