We highlight here several solutions developed to make high-level Cherenkov data FAIR: Findable, Accessible, Interoperable and Reusable. The first three FAIR principles may be ensured by properly indexing the data and using community standards, protocols and services, for example provided by the International Virtual Observatory Alliance (IVOA). However, the reusability principle is particularly subtle as the question of trust is raised. Provenance information, that describes the data origin and all transformations performed, is essential to ensure this trust, and it should come with the proper granularity and level of details. We developed a prototype platform to make the first H.E.S.S. public test data findable and accessible through the Virtual Observatory (VO). The exposed high-level data follows the gamma-ray astronomy data format (GADF) proposed as a community standard to ensure wider interoperability. We also designed a provenance management system in connection with the development of pipelines and analysis tools for CTA (ctapipe and gammapy), in order to collect rich and detailed provenance information, as recommended by the FAIR reusability principle. The prototype platform thus implements the main functionalities of a science gateway, including data search and access, online processing, and traceability of the various actions performed by a user.
翻译:我们在此强调为建立高层次Cherenkov数据FAIR:可查找、可获取、可互操作和可再使用而开发的若干解决办法。前三个FAIR原则可以通过适当索引数据和使用社区标准、协议和服务(例如国际虚拟观测站联盟(IVOA)提供的数据、协议和服务)来确保。然而,随着信任问题的出现,可恢复性原则特别微妙。说明数据来源和所进行所有变换的证明信息对于确保这一信任至关重要,它应该包含适当的颗粒度和详细程度的细节。我们开发了一个原型平台,使首个H.E.S.S.公共测试数据通过虚拟天文台(VO)找到和可访问。暴露的高级数据遵循了作为社区标准而提出的伽马射线天文学数据格式(GADF),以确保更广泛的互操作性。我们还设计了一个与开发CTA(立管和伽玛比)管道和分析工具有关的证明管理系统,以便收集丰富和详细的证明信息,正如FIR可重复性原则所建议的那样,收集丰富和详细的证明信息。我们开发的原型平台通过在线处理、包括检索和检索在内的各种用户工具。