Baselight

Library Resource Usage

District of Columbia

@usgov.district_of_columbia_library_resource_usage_59665

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About this Dataset

Library Resource Usage

Computer sessions are counted using software. EnvisionWare Computer Access and Reservation System allows library patrons to schedule time to use library computers. In addition, the Envisionware Database tracks the number of print jobs by user and printer. This functionality allows DCPL to track the number of sessions, hours of usage at each DCPL computer workstation, and the number of print jobs and pages at each printer. The output of this EnvisionWare system is a dataset that tracks the number of unique computer sessions, total hours of computer usage, printer sessions, and printer usage at each DCPL workstation by user account. The dataset includes personally identifiable information (PII) of users.

WiFi sessions are also counted using software. Cisco-Meraki Wi-Fi system allows library patrons to connect to DCPL Wi-Fi. This functionality allows DCPL to track the number of wireless devices connected to DCPL Wi-Fi. The output of this Cisco-Meraki Wi-Fi system is a dataset that tracks the number Wi-Fi connections at each DCPL Branch.

Gate counts are tracked Vea Web is a database system that tracks the number of entries into each library facility using heat sensors on the door of each facility. This functionality allows DCPL to track the volume of library entries at each DCPL branch every hour. The output of this Vea Web database system is a dataset that is used to report branch visits.
Organization: District of Columbia
Last updated: 2024-05-22T14:08:13.998304
Tags: computer-usage, cultural, dc, dcpl, district-of-columbia, gate-entry, learning, library, reading, society, students, washington-dc, wifi-connections

Tables

Table 1

@usgov.district_of_columbia_library_resource_usage_59665.table_1
  • 14.87 KB
  • 107 rows
  • 10 columns
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CREATE TABLE table_1 (
  "name" VARCHAR,
  "computer_sessions" DOUBLE,
  "wifi_use" DOUBLE,
  "gate_count" DOUBLE,
  "fiscal_year" BIGINT,
  "gis_id" VARCHAR,
  "created_date" VARCHAR,
  "last_edited_date" TIMESTAMP,
  "objectid" BIGINT,
  "globalid" VARCHAR
);

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