An attempt to promote open data for digital humanities in Japanese university libraries

Emi Ishita, Tetsuya Nakatoh, Kohei Hatano, Michiaki Takayama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many universities have declared open access policies in response to increasing interest in open access in the academic world. The next developments will be focused on open data. Huge data repositories are already used in specific fields. However, the discussion regarding open data in universities has just begun. We attempted to promote open data for digital humanities in a university library. University libraries hold rare collections, which are generally highly valued research resources. We selected a rare collection in a library, and then digitized and published it. We investigated additional data that aids a reader’s understanding of the material. To promote the open data, we produced images of the resources and multiple types of interpretation texts. We displayed the digital images in an exhibition and obtained an evaluation using a survey of visitors.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationKnowledge, Information, and Data in an Open Access Society - 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Proceedings
EditorsAtsuyuki Morishima, Andreas Rauber, Chern li Liew
PublisherSpringer Verlag
Pages269-274
Number of pages6
ISBN (Print)9783319493039
DOIs
Publication statusPublished - 2016
Event18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016 - Tsukuba, Japan
Duration: Dec 7 2016Dec 9 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10075 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016
Country/TerritoryJapan
CityTsukuba
Period12/7/1612/9/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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