Data Management and Curation 101
Audience: Graduate students, postdocs, research staff, faculty
Skill level: introductory
Which data management skills are the most important to have? What are the nuts and bolts of managing data on a daily basis? How do good data practices lead to more efficient and impactful research?
The first part of the workshop will focus on the initial stages of a research project set in the larger context of the research data lifecycle:
- Best practices for managing and documenting data on a daily basis.
- Hands-on introduction on using the Open Science Framework (OSF) for research projects
- Overview on writing effective data management plans (DMPs) and introduction to the DMPTool.
The second part emphasizes the later stages of the research data lifecycle, including disciplinary practices around data in your field. Topics include:
- What is data curation and the FAIR principles
- Characteristics of well-curated datasets
- Sensitive data issues
- Archiving, sharing and publishing data and code using open formats for transparency and reproducibility
- Thursday, April 9, 2020
- 1:00pm - 3:00pm
- CATalyst Studios - Data Studio