HistData

Historical Data in Science | Open Research Data in the Humanities

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Data Science Day @UniBern (06.05.2022)

Kaspar Gubler will present his SNSF SPARK project on Dynamic Data Ingestion (Poster Session 11:15-12:00), see programme:

https://www.dsl.unibe.ch/events/bdsd2022/programme/

Gubler_nodegoat_Dynamic Data Ingestion (PDF)

 


This entry was posted in Digital History, Presentations & Talks, SPARK NEWS and tagged data driven, data science, dataviz, digital history, dynamic data ingestion, linked open data, nodegoat, snsf, spark on 29/04/2022 by kgubler.

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New: Café digital @ Phil.-hist. Fakultät Uni Bern

SPARK

SNSF SPARK Project leader (2020/21) on dynamic data ingestion of historical data. http://p3.snf.ch/project-190161

REPAC

Initiator and Head of digital development of REPAC (Repertorium Academicum), a research environment for data management and data visualization, which hosts several Digital Humanities projects.

RAG

Head of Digital Development of RAG (Repertorium Academicum Germanicum), a long-term digital humanities project involving 60,000 students in Europe (1250-1550), who will be analysed, visualised and published in a virtual research environment (maps, networks, time series) within a contextualised prosopography.

Nodegoat GO

Nodegoat (github) is a virtual research environment (VRE), which I use in many projects and I have been involved in developing over the last few years. Nodegoat is developed by LAB1100, a spin off from the University of Amsterdam. What I like most about Nodegoat is the integrated visualization functions, as well as the data management and import function (CSV) or running it as a multi-user platform for collaborative work and exchange of research data. Nodegoat is available open source as well as managed open source by LAB1100.

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