The challenge of digital preservation of scientific data lies in the need to preserve not only the dataset itself but also the ability it has to deliver knowledge to a future user community. A true scientific research asset allows future users to reanalyze the data within new contexts. Thus, in order to carry out meaningful preservation we need to ensure that future users are equipped with the necessary information to re-use the data. This paper presents an overview of a preservation analysis methodology which was developed in response to that need on the CASPAR and Digital Curation Centre SCARP projects. We intend to place it in relation to other digital preservation practices, discussing how they can interact to provide archives caring for scientific data sets with the full arsenal of tools and techniques necessary to rise to this challenge.
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机译：数字保存科学数据的挑战在于，不仅需要保留数据集本身，还需要保留将知识传递给未来用户社区的能力。一项真正的科研资产可以使未来的用户在新的环境下重新分析数据。因此，为了进行有意义的保存，我们需要确保将来的用户配备了必要的信息以重新使用数据。本文概述了针对CASPAR和Digital Curation Center SCARP项目的需求而开发的保存分析方法。我们打算将其与其他数字保存实践联系起来，讨论它们如何进行交互以提供关注科学数据集的档案，以及应对这一挑战所需的全部工具和技术。
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