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UC Love Data Week – Day 3
February 10, 2021 @ 9:00 am - 5:00 pm
UC Love Data Week is a week-long offering of presentations and workshops focused on data access, management, security, sharing, and preservation. All members of the University of California community are welcome to attend. Make sure to register with your UC-campus email.
DATA “OWNERSHIP”: RIGHTS AND RESPONSIBILITIES @ 9:00 – 10:00 am
Speaker: Michael Ladisch (UC Davis)
This talk will discuss the nuances of “ownership” and copyright implications for scholarly research data. We’ll discuss various types of responsibilities when working with data, and identify relevant tools and services. After this talk researchers should be able to make more informed decisions about sharing and accessing data.
DATA SHARING 101 @ 10:00 – 11:00 am
Speakers: Wasila Dahdul (UC Irvine) – Ho Jung Yoo (UC San Diego) – Derek Devnich (UC Merced)
Do you need to make your data publicly available to meet funder or publisher requirements? How can you share your data in ways that increase the impact and reproducibility of your research results? Join this workshop to learn best practices for effective data sharing, including how to prepare data and documentation for sharing, and selecting an appropriate data repository. This workshop is part of UC Love Data Week, a week-long offering of presentations and workshops focused on data access, management, security, sharing, and preservation. All members of the University of California community are welcome to attend.
ICPSR PRESENTATION @ 11:00 am – 12:00pm
Speaker: Anna Shelton (ICPSR)
Do you need data for the gagillion papers you have to write this quarter? Or maybe you’re going up for tenure and need to publish? How about teaching students to use data (but you don’t have time to create that lesson plan, we’re in a pandemic after all!) Don’t worry, ICPSR has you covered. Join us for this presentation to learn about the classroom resources, data training, and over 15,000 datasets that are available to you for free. With data on economics, political science, public health and so much more, there is something data here for you.
GALE DIGITAL SCHOLAR DEMO @ 12:00 – 12:30 pm
Speaker: Sarah Ketchley (Gale)
This session will provide an overview of the main text mining features of the Gale Digital Scholar Lab, and provide examples of research output using platform tools for topic modeling, sentiment analysis and named entity recognition. The import and export options provided flexibility and extensibility, and the demo will showcase use cases using integrated Gale Primary Source archives, and the researcher’s own uploaded datasets.
DATA SCIENCE STUDENT LIGHTNING TALKS @ 1:00 – 2:00 pm
Moderator: Stephanie Labou (UC San Diego)
Personal projects are a common way for data science students to gain experience and build up a project portfolio. Unlike projects for a course or capstone sequence, personal projects are entirely self-directed by students and can be on any topic – and topics can get quite creative! Join us for an hour of lightning talks from UC students as they share their data science focused personal projects, focusing on data access, data cleaning, and any data privacy concerns.
DISCOVERY AND EVALUATION OF SOCIAL SCIENCE DATA SOURCES @ 2:00 – 3:00 pm
Speaker: David Michalski (UC Davis)
Governments, non-governmental organizations, and social scientists have amassed vast collections of data about the social world. Learn how to discover, evaluate, and access sources available for new analyses and visualizations.
CYBERSECURITY FOR GRADUATE STUDENTS IN RESEARCH @ 2:00 – 3:00 pm
In this session for Love Data Week 2021, UC Berkeley’s Chief Information Security Officer and Research IT staff will talk about current trends in cybersecurity and campus resources to support graduate students and researchers at large. Members of the Berkeley Information Security Office will also discuss best practices for securing devices to keep your information safe.
INTRODUCTION TO COMMAND LINE @ 3:00 – 5:00 pm
Speakers: Tyler Shoemaker (UC Davis) – Carl Stahmer (UC Davis)
Learn and practice how to talk directly to your computer via command line. The shell is a very powerful tool for using scientific software and working with large data sets. It is primarily used to manage files and run programs, and it allows for automation of repetitive tasks. No prior coding experience is necessary. This workshop is a prerequisite for DataLab’s workshops on Introduction to Version Control with Git and Reproducible Research for Teams with GitHub.
