Skip to main content

Love Data Week 2019: Home

This guide contains all the events and resources for Love Data Week 2019

Home

 

What's Love Your Data week?

Love Your Data Week is a nationwide campaign 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.

Follow the conversation on Twitter with #LYD19 and #LoveYourData 

We hope to see you at these exciting events! 

Schedule

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. We'll give an overview of how the cluster is set up, different ways you can get access to the cluster, logging in, transferring files, accessing software on the system, and submitting and monitoring jobs. New, prospective, and current users of Savio and other campus HPC clusters are invited. 

register

 

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!

Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover, and run code published in academic journals and conferences. Researchers and scientists can link executable code and data to articles published in academic journals and conference proceedings while retaining copyright.

Code Ocean assigns Digital Object Identifiers (DOIs) to support citable attribution and partners with publishers to add working code to the research outputs readily available from research articles. Code Ocean was founded in 2015 with the goal of saving researchers time and advancing science by making the world's scientific code more reusable and reproducible.

Lunch will be provided. 

register

 

TUESDAY, FEBRUARY 12

Preparing your data and code for reproducible publication 

2:00-4:00 pm, Doe Library, Room 190 (BIDS)

Computational analyses are playing an increasingly central role in research. Journals, funders, and other researchers are calling for published research to include associated data and code. However, many researchers have not received training in best practices and tools for sharing code and data.

This is a step-by-step, practical workshop to prepare your research code and data for computationally reproducible publication. The workshop starts with some brief introductory information about computational reproducibility, but the bulk of the workshop is guided work with code and data. We cover the basic best practices for publishing code and data. Participants move through best practices for organizing their files, preparing their code for reuse, documentation, and submitting their code and data to share using Code Ocean.

register

 

WEDNESDAY, FEBRUARY 13

Shaping Clouds: Scaling Infrastructure for Research and Instruction at Berkeley

 

1:00-2:00 pm, Doe Library, Room 190 (BIDS)

There are many great resources for research and instruction across campus, but it can be difficult to determine exactly what is available and where to find it. 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. We will discuss next steps for how to make this a grassroots community effort, as well as next steps for how to get others involved on campus and beyond.

 

register

 

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.

 

register

 

Learn More

Contact

Amy Neeser
Research Data Management Program Manager
aneeser@berkeley.edu

Joshua Quan
Data Services Librarian
joshua.quan@berkeley.edu

Copyright © 2014-2019 The Regents of the University of California. All rights reserved. Except where otherwise noted, this work is subject to a Creative Commons Attribution-Noncommercial 4.0 License.