Date:
Location:
Registration Required - click here to register
Presenter: Katie Mika
Join us for an in-depth exploration of advanced data management and the FAIR principles within the context of Dataverse repositories. This webinar goes beyond the basics, offering a comprehensive overview of how the FAIR principles - Findability, Accessibility, Interoperability, and Reusability - can elevate your data management skills and propel you towards becoming a data sharing expert. Delve into the intricacies of data FAIRness and discover how both researchers and repositories play a crucial role in achieving this goal. This detailed webinar will guide you through the key features of Harvard Dataverse Repository that support FAIR data, shedding light on data types, relevant tools and software, metadata standards, data preservation techniques, as well as access and distribution considerations. Gain valuable insights into the oversight of data management and stewardship activities, and learn how to navigate the complex landscape of data management in Dataverse repositories. This webinar is tailored for participants seeking a deeper understanding of data management best practices and funder requirements, especially those applying for funding from the NIH in the United States.