Begin With a Strong Foundation: Developing a Data Plan

07 Mar 2024

Begin With a Strong Foundation: Developing a Data Plan

March 7, 2024, 12:30-2:00 Eastern/11:30-1:00 Central/10:30-12:00 Mountain/9:30-11:00 Pacific

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When embarking on data-informed work, it can be easy to jump straight to data collection, such as administering a survey to determine the effectiveness of a program or pulling a few years of ILS data to analyze eBook circulation trends. However, what if you began by taking a step back and developing a data plan that incorporates the purposes for and context of your work? In this session, you will learn how to develop a data plan by:

  • Determining your priorities
  • Considering Equity, Diversity, and Inclusion (EDI) implications
  • Defining success
  • Incorporating stakeholders’ viewpoints

You will leave this session with a greater recognition of the benefits of planning for data-informed work as well as practical tips for developing a data plan.

This is NOT a webinar where you listen to a talking head the whole time; instead, please come ready to participate in a variety of interactive learning activities, some of which will occur in small groups in breakout rooms.

This session will be recorded, and the recording, slides, and any resources shared will be available on this webpage within two business days of the webinar.

This session is part of the 12 Months to Better Library Data Webinar Series, made possible by funding from the Mellon Foundation.

Instructors:

Katina Jones
Program Manager for Evaluation and Assessment, Public Library Association

Katina Jones is the Program Manager for Evaluation and Assessment at the Public Library Association. As a member of PLA’s Data Team, she supports the division’s data and research efforts through collecting and analyzing timely library data via Project Outcome and Benchmark for use by the field in service to their communities. Prior to PLA, Katina was the Statistical Research Analyst at Mid-Continent Public Library, where she worked to support their data-driven decision making through two strategic plans and a capital improvements campaign. Ms. Jones started her library career as the State Data Coordinator at the Missouri State Library, working with the IMLS and Census Bureau to collect and distribute statistics for the state. Katina received her bachelor’s degree in Applied Psychology and Social Science from Alverno College in Milwaukee, Wisconsin.

 

Zeth Lietzau
Director, Central, Collections, Technology, and Strategy, Denver Public Library

Zeth Lietzau is the Director of Central, Collections, Technology, and Strategy at the Denver Public Library. Previously he worked at DPL as the Manager of Digital User Experience and the Community Technology Center. He also served as Associate Director at the Library Research Service and consistently uses the skills he learned there to make data-based decisions.

 

Sharon Morris
Public Library Leadership Consultant, Colorado State Library

Sharon Morris is currently serving as Public Library Leadership Consultant at the Colorado State Library. In her 30+ years in libraries and academia, Sharon has conducted focus groups, community meetings, usability testing, surveys, and needs assessments. She earned a Doctorate in Managerial Leadership in Libraries from Simmons College and holds an MLIS from Emporia State. Sharon has been an instructor for RIPL since 2015 and conducts workshops and leadership programs for libraries throughout the country.

 

Linda Hofschire
Consultant

Linda Hofschire has more than 25 years of experience conducting social science research and evaluation and providing training in-person and online. She directs the Research Institute for Public Libraries (RIPL), an initiative to provide data and evaluation training for library staff. She also works as a library evaluation and training consultant. Linda was named a Library Journal Mover & Shaker in 2017. She has an MA and PhD in Mass Media from Michigan State University, and an MLIS from the University of Illinois. She is passionate about making data accessible and meaningful to users.