FAIR Data and Services in Biodiversity Science and Geoscience
FAIR Data and Services in Biodiversity Science and Geoscience
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DOI：
10.1162/dint_a_00034
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发表时间：
2020-12-01
影响因子：
3.9
通讯作者：
Hardisty, Alex R.
中科院分区：
文献类型：
--
作者：
Lannom, Larry;Koureas, Dimitris;Hardisty, Alex R.
我们研究的FAIR原则（可查找，可扩展，互操作和可重用），广泛分布的和异构的生物和地质标本的数据的聚合所带来的挑战和机遇的交集，并使用数字对象架构（DOA）的数据模型和组件作为一种方法来解决这些挑战，提供遵守FAIR原则作为一个不可分割的特征。这种方法将在分布式科学收藏系统（DiSSCo）项目中得到原型，该项目是泛欧研究基础设施，旨在统一21个国家的110多个自然科学收藏。我们采取每一个公平的原则，讨论他们的要求，在创建一个无缝的虚拟收集生物/地理标本数据，并将这些要求映射到数字对象组件和设施，如持久性识别，扩展的数据类型，并使用额外的抽象层次规范化现有的异构数据结构。FAIR原则为工作提供了信息和动力，DO架构提供了技术愿景，以创建解决具有社会重要性的科学问题所必需的无缝虚拟集合。
We examine the intersection of the FAIR principles (Findable, Accessible, Interoperable and Reusable), the challenges and opportunities presented by the aggregation of widely distributed and heterogeneous data about biological and geological specimens, and the use of the Digital Object Architecture (DOA) data model and components as an approach to solving those challenges that offers adherence to the FAIR principles as an integral characteristic. This approach will be prototyped in the Distributed System of Scientific Collections (DiSSCo) project, the pan-European Research Infrastructure which aims to unify over 110 natural science collections across 21 countries. We take each of the FAIR principles, discuss them as requirements in the creation of a seamless virtual collection of bio/geo specimen data, and map those requirements to Digital Object components and facilities such as persistent identification, extended data typing, and the use of an additional level of abstraction to normalize existing heterogeneous data structures. The FAIR principles inform and motivate the work and the DO Architecture provides the technical vision to create the seamless virtual collection vitally needed to address scientific questions of societal importance.