Last month the Public Library Association (PLA), a division of the American Library Association (ALA), launched new survey and a newly-released portal in which to complete it and view results. This supports PLA’S ongoing efforts to provide public libraries with tools for data-driven leadership. By now, libraries may have received invitations to participate in the 2021…
The Research Institute for Public Libraries (RIPL) opens their thought-changing, practice-expanding data conference experience to any who are interested in taking their library’s data to the next level. Curriculum from the RIPL 2020 national event is offered in a free webinar series this winter. These are NOT webinars spent listening and multi-tasking. Instead, participants must…
Texas LibPAS, https://tx.countingopinions.com/, the data collection portal for the Texas Public Libraries Annual Report, is now open for reporting local fiscal year 2020 information. Public libraries are encouraged to submit their information by March 31, to allow staff time to review the reports and work through accreditation issues. The Texas State Library and Archives Commission…
Texas participates in a nationwide public library data survey, and also accredits libraries through an annual report. The data collection period for local fiscal year 2020 is coming up in early January. A four-part series on Preparing for the 2020 Texas Public Libraries Annual Report is now ready for viewing on the Annual Report webpage,…
We acknowledge the hard work that public libraries did under very trying circumstances to submit their Annual Reports for 2019. Five hundred and forty libraries completed their reports, only three fewer than last year. We know that this was a challenge for many of you, and we appreciate your efforts to provide this important information…
Are you passionate about data? Are you looking to enhance your data and analysis skills to improve your library? Apply now to be a part of RIPL 2020, an immersive, bootcamp-style event for public library staff to learn practical methods for gathering, analyzing and applying data. Tailored to meet the needs of any data level…