Research Institute for Public Libraries

What's New?

The next national RIPL event will occur in summer 2020. Don’t want to wait until then? We’re offering the following events in 2019:

  • Utah RIPL Regional: Salt Lake City, Utah, March 6-7, 2019. See the event webpage for details. Registration opens January 15.
  • Virginia RIPL Regional: Henrico, Virginia, June 4-5, 2019. See the event webpage for details.
  • Michigan RIPL Regional: East Lansing, Michigan, August 7-8, 2019.See the event webpage for details. Registration opens for Michigan residents on March 18 and for non-Michigan residents on April 1.
  • 1-Day RIPL Preconference at the Association for Rural and Small Libraries Conference: Burlington, Vermont, September 4-7, 2019. Details TBA.
  • Montana RIPL Regional: Billings, Montana, October 7-8, 2019. Details will be announced in spring 2019.

What is a RIPL Regional? It’s a scaled-down version of the national data boot camp – 2 days, 4 instructors, and approximately 50 participants (depending on the event) that provides the training necessary to begin using data and evaluation for managing, planning, and communicating impact.

To receive announcements about future RIPL events, please subscribe for updates at the bottom of the page.

Are you interested in hosting a RIPL event? We offer 1- and 2-day workshops for local/regional audiences. For more information, please contact ripl@lrs.org.

Want to connect with others interested in public library data and evaluation? Join the RIPL Online Community of Practice, available to anyone interested in these topics (not just RIPL alumni). It includes discussion forums, opportunities for file-sharing (such as infographics, surveys, etc.), and a quarterly webinar series. Check it out here and sign up for an account here.

Overview

Launched in 2015 by the Colorado State Library (CSL) and the Colorado Library Consortium (CLiC), the Research Institute for Public Libraries (RIPL) is a singular event for public library leaders and others interested in public library data and evaluation. In this immersive, bootcamp-style event, participants learn practical, strategic methods of gathering, analyzing, and using data for planning, management, and communicating impact.

RIPL 2015 and 2016 drew participants from around North America who convened in Colorado for three days of experiential learning.

What’s next? Thanks to the generous support of the Institute of Museum and Library Services (IMLS), we have been taking RIPL on the road in 2017 and 2018! Our IMLS grant is funding a series of two-day, state/regional events around the United States in 2017 and 2018 – the RIPL Regionals. These are scaled-down versions of the national data boot camp, but provide the data and evaluation training necessary to begin using data to plan for your library’s future. It will also support our next national event at the Emory Conference Center Hotel in Atlanta, Georgia, July 29-August 1, 2018.

Schedule

Date Event Type* Location Host (in parternship with CSL and CLiC) Website
March 6-7, 2019 RIPL Regional Salt Lake City, Utah Salt Lake City Public Library, Utah State Library https://ripl.lrs.org/ut2019/
June 4-5, 2019 RIPL Regional Henrico, Virginia Library of Virginia https://ripl.lrs.org/va2019/
August 7-8, 2019 RIPL Regional East Lansing, Michigan Library of Michigan https://ripl.lrs.org/mi2019/
September 4-7, 2019 1 Day Preconference
at the Association for
Rural and Small Libraries Conference
Burlington, Vermont ARSL TBA
October 7-8, 2019 RIPL Regional Billings, Montana Montana State Library TBA
Summer 2020 RIPL TBA TBA TBA

* RIPL Regional: 2 days, 4 instructors, 50 participants from state/surrounding region

* RIPL: 3 days, 15+ instructors, 110 participants from around the United States and beyond

Participants

RIPL participants work in public libraries and are …

interested in getting started using data for savvy and strategic planning.
looking for both inspiration and instruction in a hands-on, participatory environment.
seeking to learn about outcomes and how to measure library impact.
committed to leading their organizations in making data-based decisions.
eager to develop a peer network to support research and evaluation efforts.

Subscribe for updates