Kilde og data

Overvejelser om historiefaget og de digitale metoder

Forfattere

  • Johan Heinsen Aalborg Universitet

Nøgleord:

digital historie, historiefaget, digitale metoder

Resumé

Debatindlæg om digital historie

Forfatterbiografi

Johan Heinsen, Aalborg Universitet

Lektor

Referencer

Anderson, Chris: “The End of Theory: The Data Deluge Makes the Scientiϐic Method Obsolete” Wired 2008: https://www.wired.com/2008/06/pb-theory/ (08.05.2023).

Beer, David: “How should we do the history of Big Data”, Big Data & Society 3 (1), 2016: https://doi.org/10.1177/2053951716646135

boyd, danah og Kate Crawford, “Critical Questions for Big Data: Provocations for a cultural, technological, and scholarly phenomenon”, Information, Communication & Society 15 (5), 2012: 662–679. https://doi.org/10.1080/1369118X.2012.678878.

Jensen, Helle Strandgaard: “Digital Archival Literacy for (all) Historians”, Media History 27 (2), 2021, https://doi.org/10.1080/13688804.2020.1779047

Jensen, Max Odsbjerg, Josephine Møller Jensen, Victor Harbo Johnston, Alexander Ulrich Thygesen og Helle Strandgaard Jensen: “Scalable Reading of Structured Data”, Programming Historian, 2022. https://doi.org/10.46430/phen0103

Hitchcock, Tim: “Confronting the Digital: Or How Academic History Writing Lost the Plot”, Cultural and Social History: The Journal of the Social History Society 10 (1), 2013: 9–23 https://doi.org/10.2752/147800413X13515292098070

Kitchin, Rob: “Big Data, new epistemologies and paradigm shifts”, Big Data & Society 1 (1), 2014.

Catherine D’Ignazio og Lauren Klein: “6. The Numbers Don’t Speak for Themselves.” 2020: https://datafeminism.mitpress.mit.edu/pub/czq9dfs5

Manning, Patrick: Methods for Human History: Studying Social, Cultural, and Biological Evolution, Palgrave: 2020.

McKinney, Wes: Python for Data Analysis, O’Reilly: 2013.

Mordell, Devon: “Critical Questions for Archives as (Big) Data”, Archivaria 87, 2019.

Munk, Anders Kristian, Asger Gehrt Olesen og Mathieu Jacomy, “The Thick Machine: Anthropological AI between explanation and explication”, Big Data & Society 9 (1), 2022. https://doi.org/10.1177/20539517211069891

Paasch, Marianne: Gemt eller glemt? Ph.d.-afhandling, Aalborg Universitet: 2018.

Putnam, Lara: “The Transnational and the Text-Searchable: Digitized Sources and the Shadows They Cast”, The American Historical Review 121 (2), 2016, 337–402 https://doi.org/10.1093/ahr/121.2.377

Rettberg, Jill Walker: “Ways of knowing with data visualizations”, i Martin Engebretsen og Helen Kennedy (red.): Data Visualization in Society, Amsterdam University Press: 2020, 35–48.

Robertson, Stephen: “The Properties of Digital History”, History and Theory 61 (4), 2022, 86–106.

Romein, C. Annemieke m.fl.: “State of the Field: Digital History”, History: The Journal of the Historical Association 105, 2020, 291–312, https://doi.org/10.1111/1468-229X.12969

Schriver, Astrid Ølgaard Christensen og Helle Strandgaard Jensen: “Arkivets digitalisering: en ny udfordring for historisk metode?” Temp – Tidsskrift for Historie, 13 (25), 2022, 5–27.

Silge, Julia og David Robinson, Text Mining with R: A Tidy Approach, O’Reilly: 2017.

VanderPlas, Jake: Python Data Science Handbook: Essential Tools for Working with Data, O’Reilly: 2017.

Downloads

Publiceret

2023-07-06

Citation/Eksport

Heinsen, J. (2023). Kilde og data: Overvejelser om historiefaget og de digitale metoder. Temp - Tidsskrift for Historie, 13(26), 186–196. Hentet fra https://tidsskrift.dk/temp/article/view/138810