|Appears in Collections:||History and Politics Journal Articles|
|Peer Review Status:||Refereed|
Big Data ecologies
|Citation:||Bonacchi C (2021) Heritage Transformations. Big Data and Society, 8 (2). https://doi.org/10.1177/20539517211034302|
|Abstract:||The Special l Theme examines the dynamic relationships between production, availability and usage of Big Data, laying out a research agenda for digital heritage at the time of the ‘data turn’. Over the past fifteen years, a proliferation of heritage data has been generated by ‘ecosystems of distributed practices’ enacted by the co-working of bodies, cultural identities, organisational workflows, software, application programming interfaces, etc. (Ruppert 2018, 19–20). The authors of research articles and commentaries in this collection explore the three macro-dimensions along which we can map transformations of and by heritage in Big Data ecologies: 1) ontologies, or heritage as datified resources; 2) interactions; and 3) methodologies and epistemologies|
|Rights:||This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).|
|20539517211034302.pdf||Fulltext - Published Version||530.28 kB||Adobe PDF||View/Open|
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