free webinar Thursday: Evaluating Data Quality: Challenges and Competencies
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Jodi Schneider
Jan 22, 2023, 8:27:06 PM1/22/23
to FORCE11 Forum
Please share Thursday's free webinar on Evaluating Data Quality: Challenges and Competencies with anybody interested in data librarianship, business librarianship, social science librarianship, and related topics! This is the first of 7 webinars for the IMLS-funded Series in Building Capacity of Academic Librarians in Evaluating Data Quality.
-Jodi
***************
[IMLS National Forum Webinar Session #1]
Evaluating Data Quality: Challenges and Competencies
Thursday January 26th
2:00-3:30 PM EST; 1:00-2:30 PM CST; 12:00-1:30 PM MST; 11:00-12:30 AM PST
Imagine you’re the librarian asked to help a researcher find and use data for their project. What are your next steps to ensure no data quality problems surface? Join data librarians from Princeton (Bobray Bordelon), Stanford (Ron Nakao), and Yale (Barbara Esty) for an introduction to building competencies for understanding and evaluating data quality. Documentation is a fundamental complement to usable data. Without good documentation, data has little, if any, value. The trio will describe the data-focused reference interview, discuss different sources of data, review examples of data documentation, and offer strategies for handling incomplete or inaccurate documentation. This session will prime attendees to the challenges librarians encounter with data quality issues and provide adaptable techniques for identifying and addressing these challenges.
Free registration:
https://stanford.zoom.us/webinar/register/WN_xtdtLwfkScaK1Recd49VpQ
This webinar commences the 7-part National Forum Series in Building Capacity of Academic Librarians in Evaluating Data Quality. This project is organized by West Chester University, Stanford University, and the University of Illinois at Urbana-Champaign and is made possible in part by the Institute of Museum and Library Services (RE-252357-OLS-22). Find future webinars and project details at:
https://sites.google.com/view/imls2022-data-quality/
-Jodi
***************
[IMLS National Forum Webinar Session #1]
Evaluating Data Quality: Challenges and Competencies
Thursday January 26th
2:00-3:30 PM EST; 1:00-2:30 PM CST; 12:00-1:30 PM MST; 11:00-12:30 AM PST
Imagine you’re the librarian asked to help a researcher find and use data for their project. What are your next steps to ensure no data quality problems surface? Join data librarians from Princeton (Bobray Bordelon), Stanford (Ron Nakao), and Yale (Barbara Esty) for an introduction to building competencies for understanding and evaluating data quality. Documentation is a fundamental complement to usable data. Without good documentation, data has little, if any, value. The trio will describe the data-focused reference interview, discuss different sources of data, review examples of data documentation, and offer strategies for handling incomplete or inaccurate documentation. This session will prime attendees to the challenges librarians encounter with data quality issues and provide adaptable techniques for identifying and addressing these challenges.
Free registration:
https://stanford.zoom.us/webinar/register/WN_xtdtLwfkScaK1Recd49VpQ
This webinar commences the 7-part National Forum Series in Building Capacity of Academic Librarians in Evaluating Data Quality. This project is organized by West Chester University, Stanford University, and the University of Illinois at Urbana-Champaign and is made possible in part by the Institute of Museum and Library Services (RE-252357-OLS-22). Find future webinars and project details at:
https://sites.google.com/view/imls2022-data-quality/
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