[Response Data: Improving Subjects in the Digital Collections with Data Survey]

Description

Complete, anonymized dataset of responses to the "Improving Subjects in the Digital Collections with Data" survey. Date, time, IP addresses, and geographic data has been omitted.

Physical Description

1 dataset

Creation Information

Tarver, Hannah; Miles, Chassidy & Zipperer, Rachael August 2021.

Context

This dataset is part of the collection entitled: UNT Data Repository and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 26 times. More information about this dataset can be viewed below.

Who

People and organizations associated with either the creation of this dataset or its content.

Researchers

Funder

Rights Holder

For guidance see Citations, Rights, Re-Use.

  • Hannah Tarver, Chassidy Miles, & Rachael Zipperer

Audiences

We've identified this dataset as a primary source within our collections. Researchers, educators, and students may find this dataset useful in their work.

Provided By

UNT Libraries

The UNT Libraries serve the university and community by providing access to physical and online collections, fostering information literacy, supporting academic research, and much, much more.

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Corrections Questions

What

Descriptive information to help identify this dataset. Follow the links below to find similar items on the Digital Library.

Description

Complete, anonymized dataset of responses to the "Improving Subjects in the Digital Collections with Data" survey. Date, time, IP addresses, and geographic data has been omitted.

Physical Description

1 dataset

Notes

The survey was opened for responses January 21-August 6, 2021.

Subjects

Keywords

Library of Congress Genre/Form Terms

Language

Item Type

Identifier

Unique identifying numbers for this dataset in the Digital Library or other systems.

Relationships

Collections

This dataset is part of the following collection of related materials.

UNT Data Repository

The UNT Data Repository is a central archive to provide long-term preservation and access to the research data of the UNT scholarly community. The Data Repository works in conjunction with the UNT Scholarly Works repository to ensure long-term access to the full range of research outputs from UNT.

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Related Items

Improving Subjects in the Digital Collections with Data Survey (Text)

Improving Subjects in the Digital Collections with Data Survey

Full-text of a Qualtrics survey preserving the original text and most of the formatting, including background and consent. The questions included free-text, ranking, single-choice, and multiple choice questions related to user preferences to find digital photographic images.

Relationship to this item: (References)

Improving Subjects in the Digital Collections with Data Survey, ark:/67531/metadc1832874

Improving Subjects in the Digital Collections with Data: White Paper (Paper)

Improving Subjects in the Digital Collections with Data: White Paper

White paper discussing the results of a public survey regarding keyword assignment for digital library photographs and providing initial analysis regarding the responses and next steps for the project.

Relationship to this item: (Is Referenced By)

Improving Subjects in the Digital Collections with Data: White Paper, ark:/67531/metadc1871085

What responsibilities do I have when using this dataset?

Digital Files

When

Dates and time periods associated with this dataset.

Creation Date

  • August 2021

Coverage Date

Added to The UNT Digital Library

  • Aug. 24, 2021, 11:18 a.m.

Description Last Updated

  • Dec. 20, 2021, 5:01 p.m.

Usage Statistics

When was this dataset last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 26
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Citations, Rights, Re-Use

International Image Interoperability Framework

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Links for Robots

Helpful links in machine-readable formats.

Archival Resource Key (ARK)

International Image Interoperability Framework (IIIF)

Metadata Formats

Images

URLs

Stats

Tarver, Hannah; Miles, Chassidy & Zipperer, Rachael. [Response Data: Improving Subjects in the Digital Collections with Data Survey], dataset, August 2021; (https://digital.library.unt.edu/ark:/67531/metadc1833414/: accessed April 23, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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