Best Practices in Data Collection and Management Workshop
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https://dataverse.lib.virginia.edu/citation?persistentId=doi:10.18130/V3/N9E9XP
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Ever need to help a researcher share and archive their research data? Would you know how to advise them on managing their data so it can be easily shared and re-used? This workshop will cover best practices for collecting and organizing research data related to the goal of data preservation and sharing. We will focus on best practices and tips for collecting data, including file naming, documentation/metadata, quality control, and versioning, as well as access and control/security, backup and storage, and licensing. We will discuss the library’s role in data management, and the opportunities and challenges around supporting data sharing efforts. Through case studies we will explore a typical research data scenario and propose solutions and services by the library and institutional partners. Finally, we discuss methods to stay up to date with data management related topics.
是否曾需要协助研究人员分享并归档其研究数据?是否清楚该如何为他们提供数据管理建议,以保障数据能够便捷共享与复用?本研讨会将围绕数据留存与共享的核心目标,讲解研究数据收集与整理的最佳实践方案。本次研讨会将重点覆盖数据收集的最佳实践与实操技巧,涵盖文件命名规范、文档记录/元数据(metadata)、质量控制、版本管理,以及访问管控与安全、备份与存储、授权许可等内容。我们还将探讨图书馆在数据管理领域的角色定位,以及支撑数据共享工作所面临的机遇与挑战。本次研讨会将通过案例研究剖析典型研究数据应用场景,并提出图书馆与机构合作伙伴可提供的解决方案与配套服务。最后,我们将探讨跟进数据管理相关前沿动态的有效方法。
提供机构:
University of Virginia Dataverse
创建时间:
2022-02-09



