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.