Extended Date/Time Format (EDTF) in the Digital Public Library of America's Metadata: Exploratory Analysis

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This paper presents results of an exploratory analysis of representation of dates in over 8 million metadata records from the Digital Public Library of America (DPLA), and compares it to Extended Date/Time Format (EDTF) specifications.

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5 p.

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Zavalina, Oksana; Phillips, Mark Edward; Alemneh, Daniel Gelaw; Tarver, Hannah & Kizhakkethil, Priya November 6, 2015.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 334 times, with 6 in the last month. More information about this paper can be viewed below.

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This paper presents results of an exploratory analysis of representation of dates in over 8 million metadata records from the Digital Public Library of America (DPLA), and compares it to Extended Date/Time Format (EDTF) specifications.

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5 p.

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Abstract: Considering the value of dates in the life cycle of the digital resource, capturing and storing dates metadata in a structured way can have a significant impact on information retrieval. There are a number of format conventions in common use for encoding the date and time values; the Extended Date/Time Format (EDTF) is one of the most expressive. This paper presents results of an exploratory analysis of representation of dates in over 8 million metadata records from one of the largest digital aggregators, Digital Public Library of America (DPLA), and compares it to EDTF specifications. This benchmark study provides empirical data -- at both the individual provider level and the group level (content hubs or service hubs) -- about the overall level and patterns of application of date metadata in DPLA metadata records in relation to EDTF.

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  • 78th Association for Information Science and Technology (ASIS&T) Annual Meeting, November 6-10, 2015. St. Louis, MO, United States

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  • November 6, 2015

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  • Nov. 28, 2018, 5:21 p.m.

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  • Nov. 13, 2023, 1:35 p.m.

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Zavalina, Oksana; Phillips, Mark Edward; Alemneh, Daniel Gelaw; Tarver, Hannah & Kizhakkethil, Priya. Extended Date/Time Format (EDTF) in the Digital Public Library of America's Metadata: Exploratory Analysis, paper, November 6, 2015; (https://digital.library.unt.edu/ark:/67531/metadc1390605/: accessed May 29, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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