Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

IASSIST quarterly Pub Date : 2023-03-30 DOI:10.29173/iq1008
João Aguiar Castro, Joana Rodrigues, Paula Mena Matos, Célia M D Sales, Cristina Ribeiro
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Abstract

To address metadata with researchers it is important to use models that include familiar domain concepts. In the Social Sciences, the DDI is a well-accepted source of such domain concepts. To create FAIR data and metadata, we need to establish a compact set of DDI elements that fit the requirements in projects and are likely to be adopted by researchers inexperienced with metadata creation. Over time, we have engaged in interviews and data description sessions with research groups in the Social Sciences, identifying a manageable DDI subset. A recent Clinical Psychology project, TOGETHER, dealing with risk assessment for hereditary cancer, considered the inclusion of a DDI subset for the production of metadata that are timely and interoperable with data publication initiatives in the same domain. Taking a DDI subset identified by the data curators, we make a preliminary assessment of its use as a realistic effort on the part of researchers, taking into consideration the metadata created in two data description sessions, the effort involved, and overall metadata quality. A follow-up questionnaire was used to assess the perspectives of researchers regarding data description.
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接触元数据:临床心理学中FAIR元数据生成的DDI子集
为了与研究人员一起解决元数据问题,使用包含熟悉领域概念的模型是很重要的。在社会科学中,DDI是此类领域概念的公认来源。为了创建FAIR数据和元数据,我们需要建立一组紧凑的DDI元素,这些元素符合项目中的要求,并且可能会被缺乏元数据创建经验的研究人员所采用。随着时间的推移,我们与社会科学研究小组进行了访谈和数据描述,确定了一个可管理的DDI子集。最近的一个临床心理学项目,TOGETHER,涉及遗传性癌症的风险评估,考虑纳入DDI子集,用于生成元数据,这些元数据及时且可与同一领域的数据发布举措互操作。考虑到在两次数据描述会议中创建的元数据、所涉及的工作和总体元数据质量,我们以数据管理者确定的DDI子集为例,对其作为研究人员现实工作的使用进行了初步评估。后续调查问卷用于评估研究人员对数据描述的看法。
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