Using Open Data to Inform Public Library Branch Services

Bibliographic Details

Title
Using Open Data to Inform Public Library Branch Services
Authors and Corporations
Nic Weber; Karalyn Rose Ostler; Bree Norlander
Year of Publication
2020
Type of Resource
Preprint
Source
LISSA
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rft.atitle Using Open Data to Inform Public Library Branch Services
rft.genre article
rft.date 2020-07-21
x.date 2020-07-21T18:26:18Z
abstract This article describes the curation and use of open demographic data to inform public library services. A case study of census data curated for the Seattle Public Library (SPL) system is described. To understand the information needs of library branches, a set of SPL regional managers were interviewed, a set of use cases were created, and a prototype dashboard tool using open census data was developed to address the needs of two SPL regions. The utility of available open data to meet the needs of regional managers is reviewed, as well as the potential development of replicable data analysis tools for keeping public libraries aware of shifting neighborhood demographics.
authors Array ( [rft.au] => Nic Weber )
Array ( [rft.au] => Karalyn Rose Ostler )
Array ( [rft.au] => Bree Norlander )
doi 10.31229/OSF.IO/Y2BKE
languages eng
url http://dx.doi.org/10.31229/OSF.IO/Y2BKE
http://osf.io/y2bke/
x.subjects LIS Scholarship Archive
data-driven decision making
Library and Information Science
bepress
library system management
open data
Social and Behavioral Sciences
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author Nic Weber, Karalyn Rose Ostler, Bree Norlander
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description This article describes the curation and use of open demographic data to inform public library services. A case study of census data curated for the Seattle Public Library (SPL) system is described. To understand the information needs of library branches, a set of SPL regional managers were interviewed, a set of use cases were created, and a prototype dashboard tool using open census data was developed to address the needs of two SPL regions. The utility of available open data to meet the needs of regional managers is reviewed, as well as the potential development of replicable data analysis tools for keeping public libraries aware of shifting neighborhood demographics.
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spelling Nic Weber Karalyn Rose Ostler Bree Norlander LIS Scholarship Archive data-driven decision making Library and Information Science bepress library system management open data Social and Behavioral Sciences http://dx.doi.org/10.31229/OSF.IO/Y2BKE http://osf.io/y2bke/ This article describes the curation and use of open demographic data to inform public library services. A case study of census data curated for the Seattle Public Library (SPL) system is described. To understand the information needs of library branches, a set of SPL regional managers were interviewed, a set of use cases were created, and a prototype dashboard tool using open census data was developed to address the needs of two SPL regions. The utility of available open data to meet the needs of regional managers is reviewed, as well as the potential development of replicable data analysis tools for keeping public libraries aware of shifting neighborhood demographics. Using Open Data to Inform Public Library Branch Services
spellingShingle Nic Weber, Karalyn Rose Ostler, Bree Norlander, Using Open Data to Inform Public Library Branch Services, LIS Scholarship Archive, data-driven decision making, Library and Information Science, bepress, library system management, open data, Social and Behavioral Sciences
title Using Open Data to Inform Public Library Branch Services
title_full Using Open Data to Inform Public Library Branch Services
title_fullStr Using Open Data to Inform Public Library Branch Services
title_full_unstemmed Using Open Data to Inform Public Library Branch Services
title_short Using Open Data to Inform Public Library Branch Services
title_sort using open data to inform public library branch services
topic LIS Scholarship Archive, data-driven decision making, Library and Information Science, bepress, library system management, open data, Social and Behavioral Sciences
url http://dx.doi.org/10.31229/OSF.IO/Y2BKE, http://osf.io/y2bke/