Which data skills are the most important for postdocs 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?
This second part of the two-part workshop series will focus on the later stages of the research data lifecycle, including disciplinary practices around data in your field. Topics include:
What data curation is and the FAIR principles
Characteristics of well-curated datasets
Archiving, sharing and publishing data and code using open formats for transparency and reproducibility
Sensitive data issues
Hands-on Introduction to funder and publisher data sharing policies
Faculty, graduate students, and other researchers are also welcome.