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Making Museum Global Impacts Visible: Advancing Digital Public Humanities from Data Aggregation to Data Intelligence

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The Palgrave Handbook of Digital and Public Humanities

Abstract

The chapter pursues two goals: first, it aims to situate big data analysis within the growing field of digital humanities; second, it employs an empirical exploration of the project “Deep Mapping” to discuss and demonstrate challenges and opportunities of the recent advancements in the big data digital humanities, specifically in the field of cultural geo-visualization. It identifies and examines three foundational levels of digital humanities research practices which include (1) Data Aggregation, (2) Data Visualization, and (3) Data Intelligence. Each of these levels forms a progression of the digital public humanities research from the mere capture of cultural data to its strategic employment for generating new insights to forecast development of a specific digital phenomenon, object, or process. Drawing on this framework, the chapter conceptualizes big data curation within digital humanities as an area of research and practice that entails a strong engagement with the wider public beyond academia.

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References

  • Australian Council for the Arts (ACA). 2018a. “Submission to the DFAT Soft Power Review.” Accessed January 2019. https://bit.ly/2DsbJRJ.

  • ACA. 2018b. “International Arts Tourism.” Accessed January 2019. https://bit.ly/2VRdCzN.

  • Australian Center for the Moving Image (ACMI). 2019. “Annual Report 2018/19.” Accessed June 3, 2020. https://bit.ly/3gG3x1X.

  • ACMI. 2016. “ACMI Xcel Accelerator.” Accessed June 3, 2020. https://bit.ly/2YR37zv.

  • ACMI. 2017. “Annual Report 2016/17.” Accessed June 3, 2020. https://bit.ly/3lAGXLx.

  • Australian Urban Research Network (AURIN). 2010. “About.” Accessed August 15, 2020. https://bit.ly/3lvsaSu.

  • Beheshti, Amin, Boualem Benatallah, Alireza Tabebordbar, Hamid Motahari-Nezhad, Moshe Barukh and Reza Nouri. 2019. “DataSynapse: A Social Data Curation Foundry.” Distributed and Parallel Databases 37 (1): 351–84.

    Article  Google Scholar 

  • Blloom, Brett. 2016. “Deep Maps–Breakdown Break Down.” Accessed June 3, 2020. https://bit.ly/3gG8M1D.

  • Bodenhamer, David, John Corrigan, and Trevor Harris, eds. 2015. Deep Maps and Spatial Narratives. Bloomington: Indiana University Press.

    Google Scholar 

  • Bonyhady, Tim. 1985. Images in Opposition: Australian Landscape Painting 1801–1890. Oxford: Oxford University Press.

    Google Scholar 

  • Castro, Antonio. 2017. “Big Data in the Digital Humanities. New Conversations in the Global Academic Context.” Humanities Commons. https://doi.org/10.17613/M6434X

  • Chitty, Naren, Li Ji, Gary Rawnsley, and Craig Hayden, eds. 2017. Routledge Handbook of Soft Power. London: Routledge.

    Google Scholar 

  • Creative Victoria (CV). 2018. “Data.” Accessed January 2019. https://creative.vic.gov.au/research/data.

  • Department of Foreign Affairs and Trade, Australian Government (DFAT). 2016. “Public Diplomacy Strategy 2014–2016.” Accessed January 2019. https://bit.ly/3jresOL.

  • DFAT. 2018. “Soft Power Review.” Accessed January 2019. https://bit.ly/2MjFjLv.

  • Dorling, Daniel, and David Fairbairn. 1997. Mapping: Ways of Representing the World. New York: Taylor and Francis.

    Google Scholar 

  • Duxbury, Nancy, William F. Garrett-Petts, and David MacLennan. 2015. Cultural Mapping as Cultural Inquiry. London: Routledge.

    Book  Google Scholar 

  • Greater London Authority (GLA). 2019. “Smarter London Together.” Accessed June 3, 2020. https://bit.ly/2MmYIOl.

  • Grincheva, Natalia. 2019a. Global Trends in Museum Diplomacy. London: Routledge.

    Book  Google Scholar 

  • Grincheva, Natalia. 2019b. “Mapping Museum Soft Power: Adding Geo-visualization to the Methodological Framework.” Digital Scholarship in the Humanities 34 (4): 730–51.

    Article  Google Scholar 

  • Grincheva, Natalia. 2019c. “The Form and Content of ‘Digital Spatiality’: Mapping Soft Power of DreamWorks Animation in Asia.” Asiascape: Digital Asia 6 (1): 58–83.

    Google Scholar 

  • Grincheva, Natalia. 2020a. “Deep Mapping: Creating a Dynamic Web Application Museum Soft Power Map.” In Visualizing Objects, Places, and Spaces: A Digital Project Handbook, edited by H. Jacobs and B. Fischer. https://doi.org/10.21428/51bee781.3856e5cb.

  • Grincheva, Natalia. 2020b. “Museums as Actors of City Diplomacy: From ‘Hardware’ Resources to ‘Soft’ Power Strategies.” In City Diplomacy: Current Trends and Future Prospects, edited by E. Sevin and A. Sohaela, 111–36. Cham: Palgrave Macmillan.

    Chapter  Google Scholar 

  • Guasch, Anna, and Joseba Zulaika. 2005. Learning from the Bilbao Guggenheim. Reno: Center for Basque Studies, University of Nevada.

    Google Scholar 

  • Heilbrun, James, and Charles Gray. 2001. The Economics of Art and Culture. Cambridge: Cambridge University Press.

    Google Scholar 

  • Hsu, Wendy. 2016. “Lessons on Public Humanities from the Civic Sphere.” In Debates in the Digital Humanities, edited by M. Gold and L. Klein. Minneapolis, MN: University of Minnesota Press.

    Google Scholar 

  • International Council of Museums (ICOM). 2020. “Museums for Equality: Diversity and Inclusion.” Accessed August 15, 2020. http://imd.icom.museum/2020-museums-for-equality-diversity-and-inclusion/.

  • Kaplan, Frederic. 2015. “A Map for Big Data Research in Digital Humanities.” Frontiers in Digital Humanities 2 (1): 1–7.

    Google Scholar 

  • Krenn, Michael. 2005. Fall-Out Shelters for the Human Spirit. Chapel Hill, NC: The University of Northern California Press.

    Google Scholar 

  • Lee, David, and Abigail Gilmore. 2012. “Mapping Cultural Assets and Evaluating Significance: Theory, Methodology and Practice.” Cultural Trends 21 (1): 3–28.

    Article  Google Scholar 

  • Lord, Gail, and Ngaire Blankenberg. 2015. Museums, Cities and Soft Power. Lanham, MD: Rowman & Littlefield.

    Google Scholar 

  • Manovich, Lev. 2016. “The Science of Culture? Social Computing, Digital Humanities and Cultural Analytics.” Journal of Cultural Analytics 1 (1): 1–14.

    Google Scholar 

  • Mar, Phillip. 2014. “Australia’s Approaches to Cultural Diplomacy With/in Asia: An Overview.” Report: Australian Council of Learned Academies. Accessed January 2019. www.acola.org.au.

  • Mayor of London (MOL). 2020. “Cultural Infrastructure Map.” Accessed June 3, 2020. https://bit.ly/32bduRd.

  • Nye, Joseph. 2004. Soft Power: The Means to Success in World Politics. New York: Public Affairs.

    Google Scholar 

  • Oxford English Dictionary (OED). 2003. “Big Data.” Accessed August 15, 2020. https://bit.ly/31HKH61.

  • Pearce, Susan. 2000. Museum Economics and the Community. London: A&C Black.

    Google Scholar 

  • Russell, Stuart, and Peter Norvig. 2021. Artificial Intelligence: A Modern Approach. London: Pearson education limited.

    Google Scholar 

  • Salah, Almila, Lev Manovich, Albert Ali Salah, and Jay Chow. 2013. “Combining Cultural Analytics and Networks Analysis: Studying a Social Network Site with User-Generated Content.” Journal of Broadcasting & Electronic Media 57 (3): 409–26.

    Article  Google Scholar 

  • Scott, Carol. 2006. “Museums: Impact and value.” Cultural Trends 15 (1): 45–75.

    Article  Google Scholar 

  • Schreibman, Susan, Ray Siemens, and John Unsworth. 2008. A Companion to Digital Humanities. Malden, MA: Wiley-Blackwell.

    Google Scholar 

  • Sullivan, Elaine, and Willeke Wendrich. 2015. “Time, Aggregation, and Analysis Designing Effective Digital Cultural Mapping Projects.” In Cultural Mapping as Cultural Inquiry, edited by W. F. Garrett-Petts, N. Duxbury, and D. MacLennan. London: Taylor & Francis.

    Google Scholar 

  • Swafford, Joanna. 2016. “Messy Data and Faulty Tools.” In Debates in the Digital Humanities, edited by M. Gold and L. Klein. Minneapolis, MN: University of Minnesota Press.

    Google Scholar 

  • Sylvester, Christine. 2009. Art/Museums: International Relations Where We Least Expect It. London: Paradigm Publishers.

    Google Scholar 

  • Ward, Jonathan, and Adam Barker. 2013. “Undefined by Data: A Survey of Big Data Definitions. Cornell University.” Accessed August 15, 2020. https://arxiv.org/abs/1309.5821.

  • Watanabe, Yasushi, and David McConnell. 2015. Soft Power Superpowers. London: Routledge.

    Book  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Creative Industries, LASALLE College of the Arts, Singapore, Singapore

    Natalia Grincheva

  2. School of Culture and Communication, Digital Studio, The University of Melbourne, Melbourne, VIC, Australia

    Natalia Grincheva

Authors
  1. Natalia Grincheva
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Correspondence to Natalia Grincheva .

Editor information

Editors and Affiliations

  1. School of Arts and Creative Industries, Edinburgh Napier University, Edinburgh, UK

    Anne Schwan

  2. School of Arts and Creative Industries, Edinburgh Napier University, Edinburgh, UK

    Tara Thomson

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Grincheva, N. (2022). Making Museum Global Impacts Visible: Advancing Digital Public Humanities from Data Aggregation to Data Intelligence. In: Schwan, A., Thomson, T. (eds) The Palgrave Handbook of Digital and Public Humanities. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-11886-9_21

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