数据生命周期、标准化过程、实施和经验教训

M. Albani, Iolanda Maggio, Ceos Data Stewardship Interest Group
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摘要

今天,科学和地球观测数据是人类独特和宝贵的资产,应不受时间限制地加以保存,并使当代人和子孙后代能够获得和利用。在地球科学中,对过去的了解和对进化的追踪是我们有效应对全球变化的能力的基础,这些变化正在给环境和人类社会带来越来越大的压力。只有妥善保存长时间序列的数据并使其可获得以支持国际倡议,才能实现这一目标。在欧空局成员国内外,地球科学数据持有者正在越来越多地协调数据保存工作,以确保有价值的数据不受损失,并使当代人和子孙后代能够访问和使用这些数据。鉴于现有的40年的地球科学数据储存在世界各地的档案中,并且预计未来几年数据量将大量增加,例如欧洲哥白尼哨兵任务,这项任务变得越来越具有挑战性。长期数据保存(LTDP)旨在以独立和可理解的方式维护信息的可发现性和可访问性,并提供支持信息,这有助于确保长期的真实性。LTDP的一个重点方面是数据管理。数据管理是指在数据的整个生命周期中对数据进行管理。数据管理活动支持数据发现和检索,维护数据质量,增加价值,并允许随着时间的推移重用数据。它包括涉及数据管理的所有过程,例如预摄取计划、摄取功能、档案存储和保存、传播以及为指定社区提供访问。本文介绍了在整个地球观测数据生命周期中,根据不断变化的数据量和应用场景,具有重要意义的具体方面。这些特殊问题将在“大数据”和LTDP章节中介绍。数据管理参考生命周期部分描述了如何有效地组织数据管理活动,而下一节讨论了整个保存工作流程,并展示了在数据管理期间应采取的技术步骤。地球科学数据的管理和保存应该在所有任务阶段——从最初的任务规划,贯穿整个任务生命周期,以及在任务后阶段——得到解决。数据管理参考生命周期对从初始概念化或接收到迭代管理周期的任务数据集实施管理和保存规则的有用步骤进行了高级概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-Term Data Preservation Data Lifecycle, Standardisation Process, Implementation and Lessons Learned
Science and Earth Observation data represent today a unique and valuable asset for humankind that should be preserved without time constraints and kept accessible and exploitable by current and future generations. In Earth Science, knowledge of the past and tracking of the evolution are at the basis of our capability to effectively respond to the global changes that are putting increasing pressure on the environment, and on human society. This can only be achieved if long time series of data are properly preserved and made accessible to support international initiatives. Within ESA Member States and beyond, Earth Science data holders are increasingly coordinating data preservation efforts to ensure that the valuable data are safeguarded against loss and kept accessible and useable for current and future generations. This task becomes increasingly challenging in view of the existing 40 years’ worth of Earth Science data stored in archives around the world and the massive increase of data volumes expected over the next years from e.g., the European Copernicus Sentinel missions. Long Term Data Preservation (LTDP) aims at maintaining information discoverable and accessible in an independent and understandable way, with supporting information, which helps ensuring authenticity, over the long term. A focal aspect of LTDP is data Curation. Data Curation refers to the management of data throughout its life cycle. Data Curation activities enable data discovery and retrieval, maintain its quality, add value, and allow data re-use over time. It includes all the processes that involve data management, such as pre-ingest initiatives, ingest functions, archival storage and preservation, dissemination, and provision of access for a designated community. The paper presents specific aspects, of importance during the entire Earth observation data lifecycle, with respect to evolving data volumes and application scenarios. These particular issues are introduced in the section on 'Big Data' and LTDP. The Data Stewardship Reference lifecycle section describes how the data stewardship activities can be efficiently organised, while the following section addresses the overall preservation workflow and shows the technical steps to be taken during Data Curation. Earth Science Data Curation and preservation should be addressed during all mission stages - from the initial mission planning, throughout the entire mission lifetime, and during the post- mission phase. The Data Stewardship Reference Lifecycle gives a high-level overview of the steps useful for implementing Curation and preservation rules on mission data sets from initial conceptualisation or receipt through the iterative Curation cycle.
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