Quality and completeness scores for curated and non-curated datasets
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https://springernature.figshare.com/articles/Quality_and_completeness_scores_for_curated_and_non-curated_datasets/6200357
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These data contain aggregated survey responses assessing the quality and completeness of metadata for datasets deposited in public repositories and for the same datasets after professional curation.<br>Responses were provided by 10 professional editors representing life, social and physical sciences. Each were randomly assigned four datasets to assess, half (20) of which had been curated according to the standards of Springer Nature's Research Data Support service and half (20) which had not.<br>Curated datasets were shared privately with research participants. The versions that did not receive curation via Springer Nature's Research Data Support are openly accessible.<br><br>Single-blind testing was employed; the researchers were not made aware which datasets had been curated and which had not, and it was ensured that no participant assessed the same dataset before and after curation. Responses were collected via an online survey. The relevant question and scoring is provided below:<br><br><i>Rate the overall quality and completeness of the metadata for the dataset (with regards to finding and accessing and citing the data, not reusing the data)1 = not complete, 5 = very complete</i>
本数据集包含经汇总的调研反馈,用于评估公开存储库中已归档数据集的元数据(metadata)质量与完备性,以及经专业编目后同一数据集的元数据质量与完备性。
参与反馈的10名专业编辑分别覆盖生命科学、社会科学与物理科学领域,每人被随机分配4个数据集进行评估。其中20个数据集已按照施普林格自然(Springer Nature)研究数据支持服务(Research Data Support)的标准完成编目,剩余20个未经过编目。
经编目的数据集以私密形式共享给调研参与者;未通过施普林格自然研究数据支持服务完成编目的数据集版本则可公开获取。
本调研采用单盲测试(single-blind testing)设计:研究人员无法知晓哪些数据集已完成编目、哪些未完成,同时确保无参与者对同一数据集分别在编目前后进行评估。调研反馈通过在线问卷收集,相关问题与评分标准如下:
<i>请针对该数据集的元数据整体质量与完备性进行评分(评分维度为数据的查找、获取与引用,而非数据的复用):1分表示不完备,5分表示极为完备</i>
提供机构:
figshare
创建时间:
2018-04-30



