article · Journal of digital media management · 2018
Case study: Digitising Cleveland Museum of Art history one negative at a time
Cited by 2Abstract and details only
Abstract
The Cleveland Museum of Art Archives holds a collection of over 120,000 photographic negatives in a variety of sizes and formats documenting museum exhibitions, events, buildings, objects and people from 1914 to the early 2000s. An important asset to the institution, a portion of the collection was prioritised for digitisation and a team of library and archives staff worked together to make the many choices necessary to begin the project successfully. Always mindful of the costs and benefits of decisions regarding technical specifications, scanning procedures, metadata collection and access systems, the team strived for a ‘good enough’ approach that would make the most efficient use of available resources.
Cite this paper
Hernandez, S. (2018). Case study: Digitising Cleveland Museum of Art history one negative at a time. Journal of digital media management, 6(4), 327. https://doi.org/10.69554/whxg7614
Hernandez, Susan. “Case study: Digitising Cleveland Museum of Art history one negative at a time.” Journal of digital media management, vol. 6, no. 4, 2018, p. 327, https://doi.org/10.69554/whxg7614.
Hernandez, Susan. 2018. “Case study: Digitising Cleveland Museum of Art history one negative at a time.” Journal of digital media management 6 (4): 327. https://doi.org/10.69554/whxg7614.
Hernandez, S. (2018) ‘Case study: Digitising Cleveland Museum of Art history one negative at a time’, Journal of digital media management, 6(4), p. 327. Available at: https://doi.org/10.69554/whxg7614.
@article{hernandez2018case,
title = {{Case study: Digitising Cleveland Museum of Art history one negative at a time}},
author = {Hernandez, Susan},
journal = {Journal of digital media management},
volume = {6},
number = {4},
pages = {327},
year = {2018},
doi = {10.69554/whxg7614}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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