Please join us for a series of events on February 11th-15th during Love Data Week.
This nationwide campaign is designed to raise awareness about data management, security, sharing, and preservation. Students, researchers, librarians and data specialists are invited to attend these events to gain hands on experience, learn about resources, and engage in discussion around data needs throughout the research process.
To register for these events and find out more, please visit: https://guides.lib.berkeley.edu/ldw2019
MONDAY, FEBRUARY 11
Intro to Savio workshop
3:30-5:00 pm, Dwinelle 127 (Academic Innovation Studio)
Berkeley Research Computing is offering an introductory training session on using Savio, the campus Linux high-performance computing cluster. New, prospective, and current users are invited.
TUESDAY, FEBRUARY 12
Code Ocean lunch & learn
12:00-1:00 pm, Doe Library, Room 190 (BIDS)
Join us for a demonstration and Q&A session on the Code Ocean platform! This cloud-based computational reproducibility platform provides an easy way to share, discover, and run published code.
TUESDAY, FEBRUARY 12
Preparing your data and code for reproducible publication
2:00-4:00 pm, Doe Library, Room 190 (BIDS)
This is a step-by-step, practical workshop to prepare your research code and data for computationally reproducible publication.
WEDNESDAY, FEBRUARY 13
Shaping Clouds: Scaling Infrastructure for Research and Instruction at Berkeley
1:00-2:00 pm, Doe Library, Room 190 (BIDS)
Join us for a showcase and community discussion about two cutting-edge cloud platforms, Analytic Environments on Demand (AEoD) and JupyterHub, and how best to provide a holistic ecosystem of these and other tools.
THURSDAY, FEBRUARY 14
Data Security: I just called to say I love you
1:00-2:00 pm, Dwinelle 127 (Academic Innovation Studio)
Learn what love the Information Security & Policy office shows campus and why a day without ISP would break the University's heart. We will also talk about simple ways you can protect your identity and show your data love.
We hope to see you there!
Sponsored by the University Library, Research IT, Berkeley Institute for Data Science (BIDS), Information, Security and Policy, Division of Data Science, and Center for Information Technology Research in the Interest of Society (CITRIS).