Research Data Management and Sharing
- Offered byCoursera
Research Data Management and Sharing at Coursera Overview
Duration | 14 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Research Data Management and Sharing at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 14 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish
Research Data Management and Sharing at Coursera Course details
- 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
Research Data Management and Sharing at Coursera Curriculum
Understanding Research Data
Welcome
Research Data Defined
Types of Data and Metadata
Research Data Lifecycle
Why Manage Data?
Data Management Stakeholders
Data Management Across the Research Lifecycle
"What Are Data?"
"Why is Data Management Important?"
Summary & Additional Resources
Summary & Additional Resources
Understanding Research Data
Data Management Planning
Introduction to Data Management Plans
Funding Agency Requirements
Data Management Plan Content
Data Management Planning Tools
Summary & Additional Resources
Data Management Planning
Working with Data
Good File Management in Research
File Naming
Versioning
File Formats
Data Transformations
Documentation
Data Citation
Storage
Backup
Data Security
Encryption
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?"
Summary & Additional Resources
Summary & Additional Resources
Summary & Additional Resources
Summary & Additional Resources
Organizing Data
File Formats and Transformations
Documentation and Data Citation
Storage and Security
Working with Data
Sharing Data
Benefits of Sharing
Challenges to Sharing
Data Citations
Protecting Confidentiality (Part 1)
Protecting Confidentiality (Part 2)
Intellectual Property and Data Ownership
Access
"What Are the Benefits of Sharing Data?"
"What Are the Drawbacks of Sharing Data?"
Summary & Additional Resources
Summary & Additional Resources
Sharing Data
Archiving Data
Why Archive Data?
Authenticity and Integrity
Metadata
Demonstrating Trustworthiness
Data Curation Standards and Best Practices (Part 1)
Data Curation Standards and Best Practices (Part 2)
"Why is Archiving Data Important?"
"Why is Digital Preservation Important?"
Conclusion
Summary & Additional Resources
Summary & Additional Resources
Archiving Data