DATS, the data tag suite to enable discoverability of datasets.
DATS, the data tag suite to enable discoverability of datasets.
复制标题
DOI：
10.1038/sdata.2017.59
复制
发表时间：
2017-06-06
期刊：
影响因子：
9.8
通讯作者：
Ohno-Machado L
中科院分区：
文献类型：
--
作者：
Sansone SA;Gonzalez-Beltran A;Rocca-Serra P;Alter G;Grethe JS;Xu H;Fore IM;Lyle J;Gururaj AE;Chen X;Kim HE;Zong N;Li Y;Liu R;Ozyurt IB;Ohno-Machado L
今天的科学越来越需要有效的方法来查找和访问分布在一系列存储库中的现有数据集。对于生命科学领域的研究人员来说，数据集的可发现性可能很快就会变得和通过PubMed识别最新出版物一样重要。通过由美国国立卫生研究院（NIH）的大数据到知识（BD2K）计划资助的国际合作努力，我们设计并实施了数据标签套件（DATS）模型，以支持DataMed数据发现索引。DataMed的目标是为数据服务，就像PubMed为科学文献服务一样。与PubMed中使用的期刊文章标签套件（JATS）类似，DATS模型允许将数据集上的元数据提交到DataMed。DATS有一组核心元素，它们是通用的，适用于任何类型的数据集，还有一组扩展元素，可以容纳更专门的数据类型。DATS是一种与平台无关的模型，也可以在schema.org中以带注释的序列化方式获得，它被b谷歌、Microsoft、Yahoo和Yandex等主要搜索引擎广泛使用。
Today’s science increasingly requires effective ways to find and access existing datasets that are distributed across a range of repositories. For researchers in the life sciences, discoverability of datasets may soon become as essential as identifying the latest publications via PubMed. Through an international collaborative effort funded by the National Institutes of Health (NIH)’s Big Data to Knowledge (BD2K) initiative, we have designed and implemented the DAta Tag Suite (DATS) model to support the DataMed data discovery index. DataMed’s goal is to be for data what PubMed has been for the scientific literature. Akin to the Journal Article Tag Suite (JATS) used in PubMed, the DATS model enables submission of metadata on datasets to DataMed. DATS has a core set of elements, which are generic and applicable to any type of dataset, and an extended set that can accommodate more specialized data types. DATS is a platform-independent model also available as an annotated serialization in schema.org, which in turn is widely used by major search engines like Google, Microsoft, Yahoo and Yandex.