Managing your research data for security and reproducibility - Online
Are you in the midst of designing a research study that will require you to collect a lot data? Are you thinking about working with a vendor to store or process your research data – securely? Have you completed a research study and are trying to get your work published in a journal that has data sharing requirements? If you’ve answered “yes” to any of these questions, then this workshop is for you. This workshop will cover the strategies, tools, and techniques you need to securely manage your research data throughout a project. Learn how to avoid a costly data breach, comply with funder and journal requirements for data sharing, and organize your projects for reproducibility.
By the end of this session learners will be able to:
- Write a data management plan for your research project that addresses:
- Data collection and classification (including PHI)
- Data organization and documentation
- Secure data storage
- Data sharing, de- identification, and preservation
- Identify and respond in a timely manner to a potential privacy incident involving a data breach
- Identify and utilize relevant UCSF resources and contacts to meet data collection, privacy, security, and sharing requirements for your research
This is an online class taught via Zoom. The access link will be sent a week in advance.
Ariel Deardorff is the Data Services Librarian at the UCSF Library and member of the Data Science Initiative team. Ariel works with UCSF researchers to help them better visualize and manage their research data.
Bianca Paraguya is the Interim Privacy Compliance Supervisor with the UCSF Privacy Office. Bianca advises UCSF researchers on best practices for data sharing, data de-identification and data storage, particularly when the data involves confidential or sensitive information, e.g., PHI.
Quinn Hearne is the Data Security Compliance Program Manager with UCSF Information Technology. Quinn provides services to help the UCSF community assess and manage IT security risk and compliance.
Jamie Lam is the Data Security Compliance Manager with School of Medicine Technology Services. Jamie provides consultation services to UCSF researchers to help them meet data security requirements in their contracts and grants.
Related LibGuide: Data Sharing & Data Management by Ariel Deardorff
- Tuesday, February 5, 2019
- 9:30am - 11:00am