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Public Libraries Survey Data File Overview FY 2012

Public Libraries Survey Data File Overview FY 2012. PLS: Public Libraries Survey State level data Public library data (Administrative Entities) Outlet data (central libraries, branches, and bookmobiles) Edit Report and annotation file Post submission process. What We’ll Talk About.

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Public Libraries Survey Data File Overview FY 2012

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  1. Public Libraries Survey Data File OverviewFY 2012

  2. PLS: Public Libraries Survey State level data Public library data (Administrative Entities) Outlet data (central libraries, branches, and bookmobiles) Edit Report and annotation file Post submission process What We’ll Talk About

  3. 9,299 U.S. Public Library Administrative Entities (FY 2010) 17,384 Outlets

  4. PLS and the Public Library National Data Collection Process • PLS relies on the joint efforts of IMLS, Census, and the states. • PLS collection is based on standard items and definitions. • Guidance is provided by the Library Statistics Working Group (LSWG). • PLS process assures data is submitted electronically in a standard format. • The WebPLUS User’s Guide contains data definitions and filing instructions

  5. Input of Data to WebPLUS • Data can be entered directly into the software viewing screens • This is most often done to correct or update data for a limited number of items • Data can be imported (more than once!) • Administrative Entities and Outlets data imported separately • Importing reduces keying errors

  6. PLS Data Files State Characteristics File • Fiscal Year Reported • Population Totals

  7. Population of Legal Service Area • Determine Total State Population • Determine Population Served by library • You can receive this information from your State Data Centers • Used to calculate per capita data for the publication

  8. State Characteristics

  9. PLS Data Files Administrative Entity • Annual report records for each US public library • Records contain central library address, general information, and annual data on library activities • Administrative Entity records combine data for all library outlets (central, all branches, and bookmobiles)

  10. Input of Data to WebPLUS Admin File for Import to WebPLUS

  11. Administrative Entity

  12. PLS Data Files Outlet File Central, Branches and Bookmobiles • Identifies central, branches and bookmobiles • Includes metropolitan status code, square footage, hours open, weeks open

  13. Input of Data to WebPLUS Outlet File for Import to WebPLUS

  14. Outlets

  15. PLS Data Files Annotations File • Explains anomalies in data • Can come directly from library or from SDC • Anomalies without annotations will generate edit report questions

  16. Annotations File File for Import to WebPLUS

  17. Edit Report • Questions anomalies in data • Can be resolved by • Changing data • Providing explanation • When all items resolved you can lock data

  18. Edit Report • Edit checking occurs after data entry and matching routine • Two types of data edit checks • Current-year checks • Historical checks (based on comparisons of current-year with prior-year data) • State data coordinators must provide explanations for the edit flags and file an annotated edit report with the data submission

  19. Edit Report Edit Report File : Report Sorted by Edit Number

  20. Edit Report Edit Report File: Report Sorted by Library Name

  21. Survey Submission • State submission and IMLS file acceptance is final • Census may request additional information during the Edit Follow-up process • Public library information from all the states is merged for that year’s data file • Missing data is imputed

  22. Why PLS? • To collect accurate US public library data, we need data that is • Valid • Reliable • Timely • “Valid” means we’re reporting what we all agree to report (PLS definitions) • “Reliable” means measurement methods are consistent (Edit checks help confirm consistency) • “Timely” means within timelines and by due date • PLS is the only source of comprehensive national public library data, a voluntary, collaborative effort

  23. Imputed Data • Missing data (-1) are imputed for national totals and state ranking purposes • Imputed data are included in the national database • Imputed data are flagged on the library’s PLS record • Imputed data are not displayed on the public library peer comparison tool • Rules for imputation differ according to the data (See technical notes)

  24. Final Products • Public Libraries in the United States report • Includes tables for each data element collected • Includes state per capita rankings for selected data elements • Trend analysis for national totals • Compare and Search Tools on the IMLS Web site • FY 2007-FY 2010 PLS data in DataFerrett tool • The Public Library Data files are posted to the Web • Request export file of your final data

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