Webinar: Your Data Questions? Answered! An Overview of DataQ

Speaker Andrew Johnson
Andrew Johnson is Assistant Professor and Research Data Librarian at the University of Colorado Boulder (CU-Boulder) where he has worked since he earned his MLIS from the University of Wisconsin-Madison in 2011. He provides research data support for CU-Boulder faculty and students, including consultation and instruction, as well as leadership ...

Andrew Johnson is Assistant Professor and Research Data Librarian at the University of Colorado Boulder (CU-Boulder) where he has worked since he earned his MLIS from the University of Wisconsin-Madison in 2011. He provides research data support for CU-Boulder faculty and students, including consultation and instruction, as well as leadership in campus-wide efforts to develop research data services. Prior to joining CU-Boulder, his work primarily centered on the collection, management, and curation of data for laboratories in disciplines ranging from neuropsychology to biophotonics. His research interests focus on emerging library services and infrastructure for research data management and related areas.

Full Description

Dealing with data is a becoming an essential skill in myriad professions, especially our own. From fielding data reference inquiries to working on assessment projects to helping faculty maintain their research data, we are increasingly faced with the need to develop all sorts of data skills on the fly.
 
Enter DataQ, a new IMLS-funded platform for answering research data questions in academic libraries. This collaborative project employs a team of experts -- and Editorial Team and a community of volunteers -- who answer user-submitted questions from library staff anywhere in the world. Curated answers to user-generated questions yield shared resources and tools, best practices, and practical approaches to working with researchers to address specific research data issues.
 
Join us on our webinar to hear all about this new project. Andrew Johnson, project lead, will give an overview of the DataQ project and demonstrate how to use the DataQ website to answer all of your research data questions.

 

Log-in information will be distributed to all registrants via email 1-3 days prior to the webinar. All registrants will have access to the archived recording of the webinar within a week after the live session.

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When?

Tue, Sep. 15, 2015
1 p.m. - 2 p.m. US/Eastern

How Much?

Event has ended

Where?

Online