Data for History 2021: Modelling Time, Places, Agents
The effects of the growing integration of digital tools and methods in historical research make the issues of interoperability of data produced in different projects and domains (archives, museums, etc.), and their reuse in the context of open science and FAIR principles (data should be findable, accessible, interoperable and reusable) ever more pressing. In fact, we are at a turning point in historical research: The change from a primarily analogue based to a primarily digital based working context requires a major reconsideration of the very foundations of our field. Historians have to consciously think through how this change affects their practices and determine the means to best form this new, digital working environment to facilitate the ends of historical research.
This question becomes particularly clear in the context of datafication, the conversion of analogue information into digital data. In this process, fundamental decisions are taken whose outcomes will determine not only the fidelity of the representation of the primary sources but the reusability of that data into the future. Data modelling decisions taken today will deeply shape and affect the kind of research that will or will not be feasible tomorrow. The challenge is, thus, to make modelling choices in such a way that the highest possible degree of data reusability and sustainability can be guaranteed, while respecting the particular source modelled as well as the specific nature of historical data, such as ambiguity, uncertainty, incompleteness, and change over time.
The objective of this year's conference therefore is to gain a better understanding of current ideas and practices in modelling time, space and agents as historical data and to assess the implications of these choices on the process of historical research and analysis. Throughout all of this, the focus is on exchange and building up a community.
The virtual conference will take place each Wednesday afternoon via Airmeet from May 19 to June 30, 2021. If you are interested to attend, please register here.
Programm (June 16, 2021)
14:00 – 14:45 Keynote #2
- Rebecca Kahn (University of Vienna): Social Semantic Annotation: Linking People and Places in the Pelagios Digital Ecosystem
15:00 - 16:00 Building a Common Conceptualization for Research Data in Historical Sciences
- Francesco Beretta (CNRS/Université de Lyon, LARHRA), Vincent Alamercery (ENS de Lyon, LARHRA): OntoME and the Semantic Data for Humanities and Social Sciences Project
16:15 – 17:00 Session 10: CIDOC CRM on the Test Bench
- Raphaëlle Krummeich (IRIHS, Université de Rouen Normandie): Work in Progress Attempting to Apprehend Photography in CIDOC CRM Modelling: Theoretical Contribution to Modelling Traces, Information and Meaning Constructions
- Claus-Michael Schlesinger (Universität Stuttgart): Modelling a Local Historical Social Network Applying an Object-Oriented and Event-Based Approach Compatible with CIDOC-CRM
17:15 – 18:00 Session 11: Modelling Practices
- Ingo Frank (Leibniz Institute for East and Southeast European Studies, Regensburg): From Legacy Data to Intertwingled Historical Census and Survey Data: A Case Study in Linked Research Data Modelling between Knowledge Organization and Knowledge Representation
- Christoph Schmidt-Petri, Martin Schäler, Michael Schefczyk, Klemens Böhm, Jens Willkomm (Karlsruhe Institute of Technology): The CHQL Query Language for Conceptual History Using Google Books Ngrams