Development of a Best Practices in Research Data Management Massive Open Online Course (MOOC)

研究数据管理最佳实践大规模开放在线课程 (MOOC) 的开发

• 批准号: 9341699
• 负责人: ELAINE R MARTIN
• 金额: $ 5.38万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9341699
• 关键词: Address; Big Data to Knowledge; Biological Preservation; Biomedical Research; Communities; Data; Data Science; Development; Documentation; Ecosystem; Educational process of instructing; Ensure; Ethics; Faculty; Fostering; Funding; Future; Goals; Health; Human; Individual; Information Resources; Internet; Learning; Legal; Librarians; Libraries; Licensing; Massachusetts; Methods; Policies; Privacy; Reading; Research; Research Personnel; Resources; Role; Scientist; Secure; Security; Slide; Students; Testing; Time; Training; United States National Institutes of Health; Universities; big biomedical data; data management; data sharing; design; digital; education research; innovation; interest; learning materials; lectures; massive open online courses; medical schools; novel; online course; research in practice; tool

 DESCRIPTION (provided by applicant): The proposed Best Practices for Biomedical Research Data Management Massive Open Online Course (MOOC) will provide training to librarians, biomedical researchers, undergraduate and graduate biomedical students, and other interested individuals on recommended practices that facilitate the discoverability, access, integrity, reuse value, privacy, security, and long term preservation of biomedical research data. Designed with an open course platform, anyone, anywhere, at any time can access the online course. Each of the MOOC's eight modules will be dedicated to a specific component of data management best practices and will include a pre-test, video lectures, lecture slides, a research teaching case, readings, discussion forum, and interactive quiz. The MOOC will cover the following topics: types of data, benefits of data sharing, research data lifecycle, data documentation, ensuring data privacy, legal and ethical concerns, data sharing and reuse policies, data preservation, and the collaborating roles of key stakeholders in the biomedical research enterprise. The Best Practices for Biomedical Research Data Management MOOC will be covered by a Creative Commons Attribution-NonCommerical-ShareAlike 4.0 License, enabling individuals to use and adapt the MOOC's instructional materials for noncommercial local training. Offering comprehensive online training in data management specifically targeted for biomedical information professionals and biomedical researchers anytime and anywhere, the Best Practices for Biomedical Research Data Management MOOC will fill a gap in data management training resources and foster broader access to biomedical data; laying the groundwork for future discoveries and breakthroughs.

 描述（由申请人提供）：拟议的生物医学研究数据管理大规模开放在线课程（MOOC）的最佳实践将为图书馆员，生物医学研究人员，本科生和研究生生物医学学生，以及其他感兴趣的个人提供培训，建议的做法，促进生物医学研究数据的可重复性，访问性，完整性，重用价值，隐私，安全性和长期保存。采用开放式课程平台设计，任何人、任何地点、任何时间都可以访问在线课程。MOOC的八个模块中的每一个都将致力于数据管理最佳实践的特定组成部分，并将包括预测试，视频讲座，讲座幻灯片，研究教学案例，阅读，论坛和互动测验。MOOC将涵盖以下主题：数据类型，数据共享的好处，研究数据生命周期，数据文档，确保数据隐私，法律的和伦理问题，数据共享和重用政策，数据保存以及关键利益相关者在生物医学研究企业中的合作角色。生物医学研究数据管理MOOC的最佳实践将由知识共享署名-非商业性-相同方式共享4.0许可证覆盖，使个人能够使用和改编MOOC的教学材料进行非商业性本地培训。提供全面的数据管理在线培训，专门针对生物医学信息专业人员和生物医学研究人员随时随地，生物医学研究数据管理MOOC的最佳实践将填补数据管理培训资源的空白，促进更广泛地获取生物医学数据;为未来的发现和突破奠定基础。