five

National vs. Oklahoma Public Library Materials Expenditures, 2006-2020

收藏
DataONE2022-10-01 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:b242bb7427338877f2bf4bc104fc61732835519ddc39ad885cdbb401c8b57fa6
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains aggregated data for fiscal years 2006-2020 from the Institute of Museum and Library Services' annual public library survey. This transformed version of the data contains aggregated data by material type for all public libraries in the nation, as well as an additional subset of the data for aggregated data by material type for Oklahoma's public libraries. Column headers include: Year, Print Materials, Electronic Materials, Other Materials, and Total. Material categories represent: material expenditures for physical materials (books, current serial subscriptions, government documents, and any other print acquisitions), electronic materials (ebooks, e-serials, government documents, databases, electronic files, reference tools, scores, maps, or pictures, including materials digitized by the library), and other materials (microform, audio, video, DVD, and new formats). These values were directly pulled from corresponding datasets for each public library from the PRMATEXP, ELMATEXP, and OTHMATEX columns, representing physical, electronic, and other material expenditures, respectively. Negative and zero values (-3, -1, 0) were excluded from categorical tallies, with -3 values representing closed or temporarily closed administrative entities. No explanation for -1 or 0 values was present in IMLS documentation. Valued were tallied by column after negative and zero values were excluded, with final tallies for each data column included in the attached dataset. Lastly, annually tallied were summed by each year in both National and State datasets. Two sets of the data are available: One set with two tabs (one each for National and State spending) in an Excel format, and two separate files (one each for National and State spending) in a CSV format.
创建时间:
2023-11-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作