开放研究数据的学科差异

Danny Lämmerhirt
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引用次数: 4

摘要

公共资助研究数据的管理和广泛共享在世界各地的政府、资助者、机构、期刊和数据服务提供商之间取得了显著的势头。然而,没有一种“放之四海而皆准”的方法来开放跨学科的研究数据。不同的学科产生不同类型的数据,并有不同的分析、存档和发布程序。本简报介绍了各学科开放研究数据的现状。它描述了学科特征,限制了开放研究数据授权的更大范围的接受。此外,它还介绍了资助者、机构、期刊和数据服务提供商制定的当前战略和政策以及一般数据政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disciplinary Differences in Opening Research Data
The management and widespread sharing of publicly funded research data has gained significant momentum among governments, funders, institutions, journals and data service providers around the world. However, there is no ‘one-size-fits-all’ approach to open research data across academic disciplines.

Different disciplines produce different types of data and have various procedures for analysing, archiving and publishing it. This briefing paper presents the current state of open research data across academic disciplines. It describes disciplinary characteristics inhibiting a larger take-up of open research data mandates. Additionally it presents the current strategies and policies established by funders, institutions, journals and data service providers alongside general data policies.
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