The goal of this working group is to understand issues around sensitive/restricted use research data from a variety of views - especially from the perspective of Berkeley researchers who need and use such data and the staff and units who support that. We will also seek to develop concrete solutions and products - whether it is environments, model security plans or data use agreements, or compendia of local data or resources. A third goal of this group is to provide input to IT and other organizations working on developing a set of suggested solutions to provide to campus leadership.

Participants in this workshop will learn about some of the issues surrounding the collection of health statistics, and will also learn about authoritative sources of health statistics and data. We will look at tools that let you create custom tables of vital statistics (birth, death, etc.), disease statistics, health behavior statistics, and more. The focus will be on U.S. statistics, but sources of non-U.S. statistics will be covered as well.

Whether you need a quick fact or a data set to analyze, this workshop will lead you to relevant data sources.

Zoom Link

To obtain the Zoom link for this workshop please: Click here for Zoom link

After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.

If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.

The Computational Text Analysis Working Group (CTAWG) features demos, tutorials, and ongoing projects through which we are learning to use an array of computational text analysis approaches including: topic modeling, TF-IDF, dictionary methods, supervised machine learning, cosine similarity scores, words-to-vectors, grammar parsing, regular expressions, and more. Visit the CTAWG website to learn more.