对数据的制作、处理和使用进行记录有助于今后重新使用研究数据:CAPTURE 项目

Isto Huvila, Stefan Ekman
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摘要

研究数据的再利用不仅需要了解数据的内容,还需要了解数据是如何创建的,以及以前是如何处理、解释和使用的。要获取足够多的此类过程信息(称为 "范式"),面临的主要挑战是知道要记录什么,以及如何以适当的细节和形式记录这些信息。本文展示了由欧洲研究理事会(ERC)资助的研究项目 "CAPTURE "的研究成果,该项目旨在深入了解当今如何创建和使用 "范式",以及如何获取和探索获取 "范式 "的方法。从研究基础设施的角度看,管理范式最具挑战性的问题是如何支持和帮助创建足够的范式,使其与未来的再使用者相关,同时又不至于耗费大量人力物力来制作和维护范式。考虑到由于缺乏数据清理和管理,范式数据在很大程度上是偶然存在的,如何在标准化程度过高和过低之间取得平衡也是一大挑战。
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Documentation of data making, processing and use facilitates future reuse of research data: the CAPTURE project
Reuse of research data requires knowing what the data is about but also of how it was created and previously processed, interpreted and used. The major challenges in capturing enough – but not too much – such process information, termed paradata, are to know what to document and how to document it in adequate detail and form. This paper showcases research and findings from the ERC-funded research project CAPTURE, which develops in-depth understanding of how paradata is being created and used today and which elicits and explores methods for capturing paradata. From a research infrastructure perspective, the most challenging question for managing paradata is how to enable and support the creation of paradata that is sufficient, relevant for its future reusers, and not too labour-intensive to produce and maintain. Considering the significant extent to which paradata is coincidental and exists because of the lack of data cleaning and management, a major challenge is also how to strike a balance between too much and too little standardisation.
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