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pro vyhledávání: '"Emily Maemura"'
Autor:
Emily Maemura
Publikováno v:
Big Data & Society, Vol 10 (2023)
This paper examines the Web ARChive (WARC) file format, revealing how the format has come to play a central role in the development and standardization of interoperable tools and methods for the international web archiving community. In the context o
Externí odkaz:
https://doaj.org/article/2277213278d545558b66e60a2932db77
Autor:
Jessica Ogden, Emily Maemura
Publikováno v:
International Journal of Digital Humanities
Ogden, J & Maemura, E 2021, ' ‘Go Fish’: Conceptualising the challenges of engaging national web archives for digital research ', International Journal of Digital Humanities, vol. 2, no. 1-3 . https://doi.org/10.1007/s42803-021-00032-5
Ogden, J & Maemura, E 2021, ' ‘Go Fish’: Conceptualising the challenges of engaging national web archives for digital research ', International Journal of Digital Humanities, vol. 2, no. 1-3 . https://doi.org/10.1007/s42803-021-00032-5
Our work considers the sociotechnical and organisational constraints of web archiving in order to understand how these factors and contingencies influence research engagement with national web collections. In this article, we compare and contrast our
Publikováno v:
Journal of the Association for Information Science and Technology. 69:1223-1233
This is an accepted manuscript of an article to be published in the Journal of the Association for Information Science and Technology
Autor:
Emily Maemura
Publikováno v:
Proceedings of the Association for Information Science and Technology. 55:327-336
This is an accepted manuscript of a paper to be presented at the Association for Information Science and Technology (ASIS&T) 81st Annual Meeting, November 10-14, 2018, Vancouver, Canada.
Publikováno v:
Journal of the Association for Information Science and Technology. 68:1619-1637
As the field of digital preservation DP matures, there is an increasing need to systematically assess an organization's abilities to achieve its digital preservation goals, and a wide variety of assessment tools have been created for this purpose. Th
Publikováno v:
IEEE BigData
Use of computational methods for exploration and analysis of web archives sources is emerging in new disciplines such as digital humanities. This raises urgent questions about how such research projects process web archival material using computation