Research Data Management and Sharing

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课程主页: https://www.coursera.org/archive/data-management

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课程简介

The University of North Carolina at Chapel Hill, The University of Edinburgh

课程大纲

This week introduces multiple types of research data in an array of contexts as well as important data management concepts including metadata and the research data lifecycle. We will also define the concept of data management, identify the roles and responsibilities of key stakeholders, and examine various data management tasks throughout the research data lifecycle.

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This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories. Today, an increasing number of funding agencies, journals, and other stakeholders are requiring data producers to share, archive, and plan for the management of their data. In order to respond to these requirements, researchers and information professionals will need the data management and curation knowledge and skills that support the long-term preservation, access, and reuse of data. Effectively managing data can also help optimize research outputs, increase the impact of research, and support open scientific inquiry. After completing this course, learners will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project when data ideally are shared and made available within a trustworthy repository. This course was developed by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project in collaboration with EDINA at the University of Edinburgh. This course was made possible in part by the Institute of Museum and Library Services under award #RE-06-13-0052-13. The views, findings, conclusions or recommendations expressed in this Research Data Management and Sharing MOOC do not necessarily represent those of the Institute of Museum and Library Services. Hashtag: #RDMSmooc

研究数据管理和共享:本课程将向学习者介绍研究数据管理和共享。完成本课程后,学习者将了解整个研究数据生命周期中数据的多样性及其管理需求,能够确定良好的数据管理计划的组成部分,并熟悉使用数据的最佳做法,包括组织,文档,以及数据的存储和安全性。学习者还将了解归档和共享数据的动力和重要性,以及如何评估存储库的可信度。 如今,越来越多的资助机构,期刊和其他利益相关者要求数据生产者共享,存档和计划数据管理。为了满足这些要求,研究人员和信息专业人员将需要支持长期保存,访问和重用数据的数据管理和管理知识和技能。有效地管理数据还可以帮助优化研究成果,增加研究的影响力并支持公开的科学探究。完成本课程后,当理想情况下共享数据并在值得信赖的存储库中提供数据时,学习者将有更好的能力来管理从项目计划到项目结束的整个研究数据生命周期中的数据。 本课程是由爱丁堡大学与生命科学研究所策划研究资产和数据与生命周期教育(CRADLE)项目合作开发的。 博物馆和图书馆服务学院(Institute of Museum and Library Services)授予了#RE-06-13-0052-13这一奖项,部分原因使该课程成为可能。本研究数据管理和共享MOOC中表达的观点,发现,结论或建议不一定代表博物馆和图书馆服务学院的观点,发现,结论或建议。 标签:#RDMSmooc

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