Challenges in Creating a Sustainable Generic Research Data Infrastructure
Challenges in Creating a Sustainable Generic Research Data Infrastructure
复制标题
创建可持续的通用研究数据基础设施的挑战
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
C. Grimm
中科院分区：
文献类型：
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作者：
Richard Grunzke;R. Müller;W. Nagel;Tobias Adolph;Christoph Biardzki;A. Frank;A. Bode;Anastasia Kazakova;Fidan Limani;A. Latif;Anja Busch;Timo Borst;K. Tochtermann;M. Neumann;Nelson Tavares de Sousa;I. Thomsen;W. Hasselbring;J. Tendel;H. Bungartz;C. Grimm
在当今世界，研究数据的数量和速度不断增加，并且所有科学学科的数据种类繁多，研究数据管理至关重要。本文特别讨论了创建长寿命软件系统所带来的软件工程挑战。它旨在为联合研究数据基础设施提供参考实现，包括社区的互连个体存储库和基于元数据的总体搜索。这些挑战涉及各种不断变化的需求、基于现有组件的分布式和联合基础设施的管理和开发、用例内的试点、用户的高效培训以及如何实现未来的可持续运营。
Research data management is of the utmost importance in a world where research data is created with an ever increasing amount and rate and with a high variety across all scientific disciplines. This paper especially discusses software engineering challenges stemming from creating a long-living software system. It aims at providing a reference implementation for a federated research data infrastructure including interconnected individual repositories for communities and an overarching search based on metadata. The challenges involve a high variety of evolving requirements, the management and development of the distributed and federated infrastructure that are based on existing components, the piloting within the use cases, the efficient training of users, and how to enable the future sustainable operation.