Julia Pabst, Anna Grönig: Report on the conference – “Data for History 2021” – Day 4 (09 June 2021)

banner_data_for_history_2021

Session 8 – Providing Data on Persons

The fourth day of the conference started with the lecture “IPIF – pragmatic modelling decisions”. Contributors were Matthias Schlögl (Austrian Academy of Sciences, Vienna), Georg Vogeler, Gunter Vasold (University of Graz) and Richard Hadden (Austrian Academy of Sciences, Vienna). The idea of IPIF is to take a pragmatic approach to modelling based on the factoid model and to provide a RESTful API to query data structured in this way. In the model, the metadata of its creation and modification aggregates information on a person, the source and the statements are extracted from the source by the creator of the factoid. Dating information a lot of the time is not easy in history with time ranges or broad terms in different sources. To model time and dating, the IPIF model uses a simple approach by distinguishing a date as a label and a sort date which allows to keep the original information in textual form, but also to filter it. The whole idea is to simplify the way data is computed. SPARQL is richer, but because of its complexity, you always have to know very specific information about the implementation. IPIF tries to use a less formalized approach to make it more easy to work with different data sources.

„Julia Pabst, Anna Grönig: Report on the conference – “Data for History 2021” – Day 4 (09 June 2021)“ weiterlesen

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

banner_data_for_history_2021

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

banner_data_for_history_2021

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

banner_data_for_history_2021

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

banner_data_for_history_2021

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

Yaroslav Koshelev: Das Erbe des deutschen Uranbergbaus digital verarbeiten

Die sowjetisch-deutsche Aktiengesellschaft Wismut war das viertgrößte Bergbauunternehmen der Welt. Auf dem Gebiet der ehemaligen DDR förderte in den Schächten und Betrieben der Wismut S(D)AG geschätzt eine halbe Million Menschen von 1945 bis 1990 rund 230.000 Tonnen angereichertes Uran, welches die sowjetische Rüstungsindustrie mit den notwendigen Rohstoffen für den Bau der Atombomben versorgte, aber auch mit Uran, das in Atomkraftwerken zu friedlichen Zwecken eingesetzt wurde. Die Wismut war dabei ein abgeschotteter Staat im Staate und verfügte über eigene politische, polizeiliche, kulturelle und kommerzielle Strukturen, welche den Arbeitern und Angestellten der Wismut eine Sonderstellung innerhalb der DDR-Gesellschaft ermöglichten. „Yaroslav Koshelev: Das Erbe des deutschen Uranbergbaus digital verarbeiten“ weiterlesen

Call for Papers: Datafication in the Historical Humanities. Reconsidering Traditional Understandings of Sources and Data

International Conference and Workshop at the German Historical Institute Washington

Date: December 9-11, 2021

Conveners: German Historical Institute Washington in collaboration with Luxembourg Centre for Contemporary and Digital History (C2DH), Chair of Digital History at Humboldt Universität zu Berlin, Consortium Initiative NFDI4Memory, Roy Rosenzweig Center for History and New Media, and Stanford University, Department of History

The Fifth Annual GHI Conference on Digital Humanities and Digital History will revolve around the concept of “datafication,” that is, the production of and the shift toward digital representations of historical sources as a prerequisite for storage, access, and analysis, not to mention their transmission and publication online. „Call for Papers: Datafication in the Historical Humanities. Reconsidering Traditional Understandings of Sources and Data“ weiterlesen

Michael Schäbitz/Martin Sobczyk: Politische Haft in der DDR. Das Datenbankprojekt des Forschungsverbundes »Landschaften der Verfolgung«

Der vom Bundesministerium für Bildung und Forschung (BMBF) geförderte interdisziplinäre Forschungsverbund „Landschaften der Verfolgung“ untersucht das Ausmaß, die Ursachen und die Auswirkungen politischer Repression in der DDR und in anderen Staaten Mittel- und Ostmitteleuropas in vergleichender Perspektive. Das an der Gedenkstätte Berlin-Hohenschönhausen angesiedelte Teilprojekt „Daten politischer Verfolgung“ erstellt in diesem Rahmen eine Datenbank zu politischer Haft in der SBZ/DDR. Mit dieser Datenbank soll es zum einen möglich sein, die Zahl der Betroffenen zuverlässiger als bisher zu bestimmen. Zum anderen sollen damit differenzierte Aussagen über die heterogene Gruppe der Inhaftierten möglich werden. „Michael Schäbitz/Martin Sobczyk: Politische Haft in der DDR. Das Datenbankprojekt des Forschungsverbundes »Landschaften der Verfolgung«“ weiterlesen

Christof Schöch/Maria Hinzmann: Mining and Modeling Text – Linked Open Data für die Literaturgeschichtsschreibung

Der Vortrag stellt das Forschungsvorhaben Mining and Modeling Text (kurz: MiMoText) vor, dessen Ziel es ist, den Bereich der quantitativen Methoden zur Extraktion, Modellierung und Analyse geisteswissenschaftlich relevanter Informationen aus umfangreichen Textsammlungen weiterzuentwickeln und aus interdisziplinärer (geistes-, informatik- und rechtswissenschaftlicher) Perspektive zu erforschen. Die primäre Anwendungsdomäne ist zunächst die französische Literaturgeschichte der zweiten Hälfte des 18. Jahrhunderts – die Übertragung auf andere Domänen und Disziplinen (weitere Philologien, aber beispielsweise auch Philosophie, Geschichts- und Kunstwissenschaft) ist geplant und wird von Projektbeginn an mitbedacht. „Christof Schöch/Maria Hinzmann: Mining and Modeling Text – Linked Open Data für die Literaturgeschichtsschreibung“ weiterlesen

Eero Hyvönen: Linked Data in Action – Sampo portals for Digital Humanities (Data for History Lecture #1)

This talk presents results on building an open national Semantic Web infrastructure in Finland, with applications for Digital Humanities. In particular, the Sampo model and series of Sampo portals have been created that have had millions of users on the Web.

„Eero Hyvönen: Linked Data in Action – Sampo portals for Digital Humanities (Data for History Lecture #1)“ weiterlesen