#### **Best Practices for Biomedical Research Data Management Companion Wiki Site** This project supports the Harvard Medical School MOOC *Best Practices for Biomedical Research Data Management*. The course was active on Canvas from 2018-2023. This project site maintains course materials that can be accessed on-demand. Here you will find all the course curricular materials. **Project Wiki Pages:** [Grant Overview][1] [Instructor Profiles][2] [MOOC Description][3] [MOOC Objectives][4] [Project Acknowledgements][5] ---------- #### **Component Wiki Pages: Links to Course Modules** [Module 1: Introduction and Overview][6] [Module 2: Research Lifecycle][7] [Module 3: Contextual Details][8] [Module 4: Data Storage and Security][9] [Module 5: Data Management Policy][10] [Module 6: Biomedical Ethics][11] [Module 7: Data Sharing and Reuse][12] [Module 8: Curation & Preservation for Data][13] [Module 9: Scientific Research Team][14] ---------- #### **Articles and Blog Posts** Read about the project on the [Canvas Blog][15]. Read about 'Future of Research' pilot participation: "[What a pilot course taught us about biomedical research data management practices][16]" ---------- #### **Posters and Presentations** (also see: https://osf.io/ac9kg) [Creating a Framework for Online Learning: Challenges, opportunities, and limitations][17] [Online Research Data Management Education During a Global Pandemic: Trends and Lessons Learned][18] [Open Educational Resources:A Focus on MOOCs During the Pandemic][19] [Understanding the Data Life Cycle for Research Success][20] [Biomedical Research Data Management Open Online Education: Challenges & Lessons Learned][21] [Designing Collaborative Online Training for Research Data Management][22] [MOOC: Miscalculations, Oversights, Opportunities and Celebration][23] [Pitfalls and Positives: Developing a Massive Open Online Course][24] [Biomedical Research Data Management Open Online Education: Challenges & Lessons Learned][25] ---------- #### **Reports, Preprints, Articles, and Data** Trepanowski, Nevada. 2019. “Analysis of Harvard Medical School Countway Library’s MOOC Course: Best Practices for Biomedical Research Data Management.” [UnpublishedReport]. Fay, Kai and Julie Goldman. 2021. “Analysis of Harvard Medical School Countway Library’s MOOC Course, Best Practices for Biomedical Research DataManagement: Focus on the effects of COVID-19.” OSF Preprints. [https://doi.org/10.31219/osf.io/9qbg4][26] Goldman, Julie and Nevada Trepanowski. 2022. “Reflection and Analysis of Implementing a Free Asynchronous MOOC to Build Competence in Biomedical Research Data Management.” College & Research Libraries 83(4): 669-691. [https://doi.org/10.5860/crl.83.4.669][27] Fay, Kai and Julie Goldman. 2022. “Analysis of Harvard Medical School Countway Library’s MOOC Course, Best Practices for Biomedical Research Data Management: Learner Demographics and Motivations.” OSF Preprints. [https://doi.org/10.31219/osf.io/gcqb8][28] Weidling, Perry. 2023. “Analysis of Harvard Medical School Countway Library's MOOC Course, Best Practices for Biomedical Research Data Management: Course Enrollment Trends.” OSF Preprints. [https://doi.org/10.31219/osf.io/3agqh][29] [1]: https://osf.io/vrnfx/wiki/Grant%20Overview/ [2]: https://osf.io/vrnfx/wiki/Instructor%20Profiles/ [3]: https://osf.io/vrnfx/wiki/MOOC%20Description/ [4]: https://osf.io/vrnfx/wiki/MOOC%20Objectives/ [5]: https://osf.io/vrnfx/wiki/Project%20Acknowledgements/ [6]: https://osf.io/jhpgv/ [7]: https://osf.io/jhbdc/ [8]: https://osf.io/qdk8f/ [9]: https://osf.io/8duzg/ [10]: https://osf.io/maq9r/ [11]: https://osf.io/vwsfy/ [12]: https://osf.io/aphzk [13]: https://osf.io/aphzk [14]: https://osf.io/unydq/ [15]: https://blog.canvaslms.com/en/launch-open-course-biomedical-research-data-management [16]: http://futureofresearch.net/2018/01/05/what-a-pilot-course-taught-us-about-biomedical-research-data-management-practices/ [17]: https://osf.io/abem9 [18]: https://osf.io/s7myv/ [19]: https://osf.io/nd9f7 [20]: https://osf.io/4cfmp/ [21]: https://osf.io/adksu/ [22]: https://osf.io/nqm72/ [23]: https://osf.io/m3uc2/ [24]: https://osf.io/fmd4c/ [25]: https://osf.io/adksu/ [26]: https://doi.org/10.31219/osf.io/9qbg4 [27]: https://doi.org/10.5860/crl.83.4.669 [28]: https://doi.org/10.31219/osf.io/gcqb8 [29]: https://doi.org/10.31219/osf.io/3agqh