Scaffolding for data management skills: From undergraduate education through postgraduate training and beyond

<p>Initial work in identifying data management or data information literacy skills went as far as identifying a list of proposed competencies without further differentiation between those competencies, whether by discipline, complexity, or use case. This document contains an evolution in existing competencies. It identifies a scaffolding built upon existing competencies that moves students progressively from the personal domain of data management through team data management to the research enterprise level of data management. The scaffolding ties together existing research that has been completed in research data management skills and data information literacy with research into the outcomes that are desirable for individuals to present in data management at each of the levels of education.  As a result of this document, competencies will be aligned according to application (personal, small group, large group) in such a way that the skills attained at the undergraduate level would give students moving on to graduate work greater familiarity with data management and therefore greater likelihood of success at the graduate and then post graduate and data steward levels.</p>

早期有关数据管理（data management）或数据信息素养（data information literacy）技能的识别研究，仅停留在拟定能力清单的罗列阶段，未依据学科、复杂度或应用场景对各项能力进行进一步区分。本文件对现有能力体系进行了迭代升级，提出了一套基于既有能力框架的进阶培养支架，可引导学生循序渐进地掌握数据管理技能：从个人层面的数据管理，延伸至团队级数据管理，最终达到科研机构级别的数据管理水平。该进阶支架整合了当前已完成的科研数据管理技能与数据信息素养相关研究，同时结合了针对不同教育阶段学习者在数据管理方面所需达成的理想成果的研究。通过本文件的产出，所有能力将按照应用场景（个人、小型团队、大型团队）进行对齐分类，使得本科阶段习得的数据管理技能，能够为继续深造的研究生提供更扎实的数据管理基础，进而提升其在研究生阶段、毕业后阶段以及数据管理专员（data steward）岗位上取得成功的概率。