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Research Data Management in the Curriculum: An Interdisciplinary Approach

机译:课程中的研究数据管理:一种跨学科的方法

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Research Data Management is broadly understood as collecting, analyzing, publishing, reanalyzing, critiquing, and reusing data. The increase of digital content in the broad areas of Institutional and domain specific Repositories, Libraries, Archives and Museums and the increased interest in the sharing and preservation of “research data” have triggered the emergence of new roles such as Data Curator. The paper refers about the on-going investigation of current data curator education and training programs with regard to the role of information professionals and/or data scientists in the research lifecycle. The investigation has been based on a series of workshops and events discussing the concerns of researchers and teachers about digital library and digital curation. A first list of competencies and skills at technical and operational level that professionals should have, has been evidenced. The theoretical framework and structure of educational programmes should have sufficient flexibility to accommodate the needs of various groups of specialists.
机译:研究数据管理被广泛理解为收集,分析,发布,重新分析,创建和重用数据。机构和领域特定的资料库,图书馆,档案馆和博物馆等广泛领域中数字内容的增加,以及对共享和保存“研究数据”的兴趣日益增加,从而触发了诸如数据策划人之类的新角色的出现。本文介绍了有关信息专业人员和/或数据科学家在研究生命周期中的作用的当前数据管理员教育和培训计划的持续调查。该调查基于一系列研讨会和活动,讨论了研究人员和教师对数字图书馆和数字策展的关注。专业人员应具备的第一份技术和操作能力和技能清单。教育计划的理论框架和结构应具有足够的灵活性,以适应各类专家的需求。

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