Lukas Sebold, Leonie Aschmann: Report on the conference – “Data for History 2021” – Day 3

Session 6 – Uncertain Time and Space

In the first presentation of the day, ”Chronology Statements for nodegoat: a temporal topology to interface with vague, relational, and actionable dates”, Pim Van Bree and Geert Kessels (LAB 1100, The Hague) introduced the platform Nodegoat. Nodegoat is a web-based research environment for the humanities, providing services to create e.g. network, linked and spatial data. However, there is also a need for complex statements to express temporal uncertainty.
The speakers pointed out that historians in general lack vocabularies to represent temporal uncertainty. This is reflected in common implementations in DH that miss flexibility and a standard for relational temporal statements. „Lukas Sebold, Leonie Aschmann: Report on the conference – “Data for History 2021” – Day 3“ weiterlesen

Lars-Erik Brandt, Diana Vegner: Report on the conference – “Data for History 2021” – Day 2

Session 4 – Modelling the Analyses Lars-Erik Brandt

The first presentation of Session 4: Modelling the Analyses was a project of Helen Mair Rawsthorne from the Université Gustave Eiffel with the title “Analysing 18th century hydrographic data: a campaign in the Bay of Biscay, 1750-1751”. The approach focused on maritime maps from the early modern period in France. At that time, a research project was to investigate the depth of the Bay of Biscay at different points and to map the entire bay with information on the depth of the sea and certain characteristics, such as sediment species. Helen Rawsthorne examined not only the maps themselves, created during this campaign, but also the written notes on the various measuring points. The sources are well preserved, since the maps were used by the people of that time in everyday life. The research question was to compare the quality of the results from the historical measurements with modern ones and thus to show how accurate the historical approach was. „Lars-Erik Brandt, Diana Vegner: Report on the conference – “Data for History 2021” – Day 2“ weiterlesen

Julia Pabst, Anna Grönig: Report on the conference “Data for History 2021” – Day 1

The conference was opened by a short introduction by Torsten Hiltmann (HU Berlin), who, in cooperation with Francesco Beretta and Vincent Alamercery (LARHRA Lyon) is the organizer of this event. He offered a brief overview of the still young history of the consortium and introduced the overall aim of the conference, which is to promote exchange within the broader community and to create more stable structures for the future development of the consortium. Even though it can only take place online this year due to the Corona pandemic, it was important to preserve the core idea of the meeting. Therefore, all changes from the initial plans, such as a new schedule spread over 7 weeks and Airmeet as the platform for the conference, were chosen to assure exactly that: namely communication, exchange and discussions among like-minded people facing the same challenges if it comes to the modelling of data in historical research. „Julia Pabst, Anna Grönig: Report on the conference “Data for History 2021” – Day 1“ weiterlesen

Conference announcement: Data for History 2021 – Modelling Time, Places, Agents

From May 19 to June 30, 2021, the Data for History consortium, an international community that aims to improve the interoperability of historical data on the semantic web, together with the Chair of Digital History and the Laboratoire de Recherche Historique Rhône-Alpes, will host the virtual conference Data for History 2021: Modelling Time, Places, Agents via Airmeet.

With three keynotes, around 30 paper presentations, a poster session and a final panel discussion, the conference will focus on the exchange of current ideas and practices regarding the modelling of time, space and agents as historical data. A topic that is all the more important since we are currently at a turning point in historical research:

„Conference announcement: Data for History 2021 – Modelling Time, Places, Agents“ weiterlesen

Datenmodellierung mit CIDOC CRM in WissKI am Beispiel des Forschungsprojekts “Das Fenster zur Natur und Kunst – Eine historisch-kritische Aufarbeitung der Brandenburgisch-Preußischen Kunstkammer”

Im DFG-Projekt “Das Fenster zur Natur und Kunst – Eine historisch-kritische Aufarbeitung der Brandenburgisch-Preußischen Kunstkammer” widmen sich die Staatlichen Museen zu Berlin, das Museum für Naturkunde und die Humboldt-Universität zu Berlin der Beforschung der königlichen Kunstkammer, die einst im Berliner Schloss untergebracht war. Ziel ist es auf Basis historischer Quellen und der Tiefenerschließung von Objektinformation Veränderungen in der Sammlungspraxis und -logik herauszuarbeiten. „Datenmodellierung mit CIDOC CRM in WissKI am Beispiel des Forschungsprojekts “Das Fenster zur Natur und Kunst – Eine historisch-kritische Aufarbeitung der Brandenburgisch-Preußischen Kunstkammer”“ weiterlesen