契连科夫天文学的FAIR高水平数据
FAIR high level data for Cherenkov astronomy
摘要：
我们在这里重点介绍了几种为使高级切伦科夫数据公平而开发的解决方案：可查找，可扩展，可互操作和可重用。可通过适当编制数据索引和使用共同体标准、协议和服务，例如由国际虚拟天文台联盟提供的服务，来确保前三项公平国际研究原则。然而，当信任问题被提出时，可重用性原则是特别微妙的。描述数据源和所执行的所有转换的起源信息对于确保这种信任是必不可少的，并且它应该具有适当的粒度和详细程度。我们开发了一个原型平台来制造第一个H.E.S.S.公共测试数据可通过虚拟天文台（VO）查找和访问。公开的高级别数据遵循伽马射线天文学数据格式（GADF），该格式被提议作为社区标准，以确保更广泛的互操作性。我们还设计了一个与CTA（ctapipe和gammappy）的管道和分析工具的开发相关的出处管理系统，以收集丰富而详细的出处信息，正如FAIR可重用性原则所建议的那样。因此，原型平台实现了科学网关的主要功能，包括数据搜索和访问、在线处理以及用户执行的各种行动的可追溯性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
