|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-management
课程评论：没有评论
课程名称：研究数据管理与共享 课程概述：本课程旨在为学习者提供研究数据管理与共享的基础知识。完成此课程后，学习者将能够理解研究数据生命周期中数据的多样性及其管理需求，识别良好数据管理计划的组成部分，并熟悉数据组织、文档记录、存储和安全等最佳实践。此外，学习者将明白归档和共享数据的重要性以及如何评估数据存储库的可信度。随着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分享、归档并规划数据管理，研究人员和信息专业人员需要具备支持数据长期保存、访问和重用的数据管理与策划知识和技能。有效的数据管理不仅能优化研究成果，还能增加研究的影响力并支持开放科学探究。完成本课程后，学习者将能更好地管理从项目规划到项目结束时的数据，确保数据理想地被共享并存储在可信的存储库中。 本课程由爱丁堡大学的CRADLE项目与EDINA合作开发，部分内容得到博物馆和图书馆服务研究所的支持。 课程大纲： 1. 了解研究数据：介绍各种类型的研究数据及其管理的基本概念，包括元数据和研究数据生命周期的定义，确定关键利益相关者的角色与职责。 2. 数据管理规划：概述数据管理计划（DMP）的成分、资助机构的DMP政策以及数据管理规划工具的信息。 3. 数据处理：介绍研究数据的组织策略，包括版本控制和文件命名规范、数据格式和转换，同时讨论数据文档和引用的重要性，以及存储、安全和备份研究数据的问题。 4. 数据共享：探讨共享研究数据的好处与挑战，讨论如何保护机密性及数据所有权对数据共享的影响，最终研究不同类型的访问限制及通过应用标准许可进行数据共享的方法。 5. 数据归档：讨论研究数据的保存需求，引入真实性和完整性概念，识别不同类型的元数据及其在数据发现与重用中的作用，探讨可信存储库的角色及其通过审核和认证展示可信度的方法，介绍关键的归档标准及确保数据长期可访问和可理解的最佳实践。 #RDMSmooc
Name:Understanding Research Data
Description: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.
Name:Data Management Planning
Description:This week provides an overview of Data Management Plans (DMPs) including the components of good DMPs, the DMP policies of several funding agencies, and information on data management planning tools.
Name:Working with Data
Description:This week is brought to you by EDINA and the Data Library at the University of Edinburgh and is presented by Sarah Jones from the Digital Curation Centre. Sarah will introduce strategies for organizing research data including versioning and file naming conventions as well as data file formatting and transformations. She will also discuss why documenting data and data citation are important. Finally, she will present issues involved in storing, securing, and backing up research data.
Name:Sharing Data
Description:This week examines the benefits and challenges of sharing research data. We will also discuss how to protect confidentiality and how data ownership can affect data sharing. Finally, we will examine different types of access restrictions that may be placed on data as well as how to enable data sharing through the application of a standard license.
Name:Archiving Data
Description:During the final week of the course, we will examine the preservation needs of research data, introduce the concepts of authenticity and integrity, and identify the different types of metadata and their role in data discovery and reuse. We will also discuss the role of trustworthy repositories as well as how repositories demonstrate their trustworthiness through audit and certification. Finally, we will present key archival standards and best practices for ensuring data remains accessible and understandable for the long-term.
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
