- Level Foundation
- Duration 14 hours
- Course by The University of North Carolina at Chapel Hill
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Offered by
About
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: #RDMSmoocModules
Welcome
1
Videos
- Welcome
What Are Data?
3
Videos
- Research Data Defined
- Types of Data and Metadata
- Research Data Lifecycle
1
Readings
- Summary & Additional Resources
Understanding Data Management
3
Videos
- Why Manage Data?
- Data Management Stakeholders
- Data Management Across the Research Lifecycle
1
Readings
- Summary & Additional Resources
Supplementary Videos
2
Videos
- "What Are Data?"
- "Why is Data Management Important?"
Week One Exercises
1
Assignment
- Understanding Research Data
1
Peer Review
- Describing Data
Data Management Planning
4
Videos
- Introduction to Data Management Plans
- Funding Agency Requirements
- Data Management Plan Content
- Data Management Planning Tools
1
Readings
- Summary & Additional Resources
Week Two Exercises
1
Assignment
- Data Management Planning
1
Peer Review
- Writing a Data Management Plan
Organizing Data
1
Assignment
- Organizing Data
3
Videos
- Good File Management in Research
- File Naming
- Versioning
1
Readings
- Summary & Additional Resources
File Formats and Transformations
1
Assignment
- File Formats and Transformations
2
Videos
- File Formats
- Data Transformations
1
Readings
- Summary & Additional Resources
Documentation and Data Citation
1
Assignment
- Documentation and Data Citation
2
Videos
- Documentation
- Data Citation
1
Readings
- Summary & Additional Resources
Storage and Security
1
Assignment
- Storage and Security
4
Videos
- Storage
- Backup
- Data Security
- Encryption
1
Readings
- Summary & Additional Resources
Supplementary Videos
4
Videos
- Interview - Natalia Calanzani
- Interview - Shaun Bevan
- "How does good data management add value to research?"
- "Do you think data sharing helps to reduce waste and increase transparency of research?"
Week Three Exercises
1
Assignment
- Working with Data
Sharing Foundations
3
Videos
- Benefits of Sharing
- Challenges to Sharing
- Data Citations
1
Readings
- Summary & Additional Resources
Enabling Sharing
4
Videos
- Protecting Confidentiality (Part 1)
- Protecting Confidentiality (Part 2)
- Intellectual Property and Data Ownership
- Access
1
Readings
- Summary & Additional Resources
Supplementary Videos
2
Videos
- "What Are the Benefits of Sharing Data?"
- "What Are the Drawbacks of Sharing Data?"
Week Four Exercises
1
Assignment
- Sharing Data
1
Peer Review
- Citing Data
Preservation Foundations
3
Videos
- Why Archive Data?
- Authenticity and Integrity
- Metadata
1
Readings
- Summary & Additional Resources
Trustworthy Repositories
3
Videos
- Demonstrating Trustworthiness
- Data Curation Standards and Best Practices (Part 1)
- Data Curation Standards and Best Practices (Part 2)
1
Readings
- Summary & Additional Resources
Supplementary Videos
2
Videos
- "Why is Archiving Data Important?"
- "Why is Digital Preservation Important?"
Week Five Exercises
1
Assignment
- Archiving Data
1
Peer Review
- Finding a Trustworthy Repository
Conclusion
1
Videos
- Conclusion
1
Readings
- Post-Course Survey
Auto Summary
Discover the essentials of research data management and sharing in this foundational Data Science & AI course. Led by the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project and EDINA at the University of Edinburgh, the course spans 840 hours and is available on Coursera. Learn best practices for data organization, documentation, storage, and security. Ideal for researchers and information professionals looking to enhance their data management skills and meet funding agency requirements. Available with a Starter subscription. #RDMSmooc

Helen Tibbo

Sarah Jones