TY - JOUR
T1 - Heritage transformations
AU - Bonacchi, Chiara
N1 - Funding Information:
The author disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This work was supported by the UK Arts and Humanities Research Council (grant numbers: AH/N006151/1, AH/P009719/1). The 2019 conference ‘Heritage in a World of Big Data’ was developed as part of the AHRC-funded Ancient Identities in Modern Britain project (Co-I Chiara Bonacchi, PI Richard Hingley; https://ancientidentities.stir.ac.uk/ ; award number: AH/N006151/1) and of the AHRC Heritage Priority Area Leadership Fellowship (PI Rodney Harrison; www.heritage-research.org ; award number: AH/P009719/1).
Publisher Copyright:
© The Author(s) 2021.
PY - 2021/8/4
Y1 - 2021/8/4
N2 - This special 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 15 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. 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: (a) ontologies or heritage as datified resources, (b) interactions and (c) methodologies and epistemologies.
AB - This special 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 15 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. 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: (a) ontologies or heritage as datified resources, (b) interactions and (c) methodologies and epistemologies.
KW - activism
KW - Big Data ecologies
KW - collecting
KW - datified heritage
KW - heritage transformations
KW - values
UR - http://www.scopus.com/inward/record.url?scp=85112228458&partnerID=8YFLogxK
U2 - 10.1177/20539517211034302
DO - 10.1177/20539517211034302
M3 - Editorial
AN - SCOPUS:85112228458
SN - 2053-9517
VL - 8
JO - Big Data and Society
JF - Big Data and Society
IS - 2
ER -