The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries.

中文翻译：

---

本地数据共享基础设施 e!DAL：促进公平数据以加快数据采集速度


FAIR 数据原则作为支持长期研究数据管理的承诺，已被科学界广泛接受。尽管ELIXIR核心数据资源和其他已建立的基础设施为FAIR数据管理提供了全面且长期稳定的服务和平台，但大量的研究数据仍然被隐藏或面临丢失的风险。目前，高通量植物基因组学和表型组学技术正在产生大量研究数据，但现有核心数据库尚未覆盖这些数据的存储。这涉及数据量，例如图像的时间序列或高分辨率超光谱数据；数据格式化和注释的质量，例如，关于核心数据库的结构和注释规范；未覆盖的数据域；或组织限制禁止在机构边界之外存储主要数据。