Nodegoat Use Cases

Prof. Dr. Stefanie Mahrer (Universität Bern, Historisches Institut): Forced Academic Migration (FAM) is a research project (funded by SNF-PRIMA) at the Department of History of the University of Bern on the history of forced academic migration in Switzerland during the Nazi regime and the post-war period. FAM-online provides insight into research results and enables visitors to access, filter and graphically display research data in the near future.
The aim is to collect biographical data of the academics who fled to Switzerland, data of the academic refugee assistance organizations and their helpers, data of the universities concerning forced migrants as well as relevant decrees and laws as completely as possible. The data is published continuously, taking into account legal regulations.
FAM-online links projects and refers to publications with similar topics and thus also sees itself as a platform for scientific research into the history of academic forced migration in the context of National Socialism. The project uses nodegoat to visualize escape routes on maps and to analyze networks of academics, escape helpers and involved organizations.

Fig. Example visualization of escape routes of academics

Sebastian Borkowski (Universität Bern, Institut für Archäologische Wissenschaften): Sebastian Borkowski, Master in Near Eastern Archaeology at the University of Bern, currently a PhD student at the Unité d’Études Mésopotamiennes of the University of Geneva and assistant in the Department of Ancient Oriental Philology in the RIMES project (The Rivers of Mesopotamia) presented the project that Dr. Susanne Ruthishauser is leading at the Department of Near Eastern Archaeology at the University of Bern. For the area in the south of present-day Iraq, the project will evaluate satellite image data combined with archaeological, written and geomorphological sources in order to reconstruct the position of rivers and channels of the Mesopotamian alluvial plain during different epochs. This project uses very many functions of nodegoat. Among others, Sebastian Borkowski evaluates about 10’000 written sources in nodegoat.

Fig. Network analysis for reconstructing the rivers in Mesopotamia

Research Project Repertorium Academicum (REPAC) (Universität Bern, Historisches Institut):  REPAC uses nodegoat as a collaborative research platform (live environment). REPAC operates several projects (Germanicum / Helvetcium / Bernense) creating a pool of prosopographic data, which contains about 70’000 persons with about biografical 400’000 records. From this data pool information are automatically assigned to the different projects in nodegoat based on certain criteria.

Fig. Areas of origin of students at European universities 1250-1550

Prof. Dr. Alexandra Portmann, Anna Barmettler, Dominik Kilchmann (Universität Bern, Institut für Theaterwissenschaften): International theater festivals shape the contemporary theater landscape, although the variety of festival formats is difficult to categorize. The spectrum ranges from festivals that focus on a specific theme or author (e.g. Shakespeare), to festivals of the independent scene (e.g. Impulse Festival) and festivals such as the Manchester International Festival, which explicitly only shows premieres of international co-productions. These transnational co-productions of festivals with globally operating artists and independent production houses seem to increasingly shape the festival repertoire. This research project asks the question of how transnational working methods from the festival sector have a lasting effect on local theater systems. This SNSF Ambizione project uses nodegoat for visualizing the processes of festival productions on maps and within networks.

Fig. Example visualization of a network analysis on festival productions

Elie Jolliet (Universität Bern, Institut für Musikwissenschaft): Studied music (organ, historical keyboard instruments, choral conducting and church music) in Bern (B.A.) and Lausanne (M.A.). Church musician in Köniz and concert activity as soloist, ensemble musician and choir director. Winner of the Migros Culture Percentage Instrumental Competition 2016. Member of the board of the International Association for Hymnology. Dissertation project: The Bernese Songbooks 1606 to 1853. Corpus analysis of the songs outside the Geneva Psalter. Elie Jolliet uses nodegoat, for the difficult analysis of songs, which he examines and visualizes separately for melodies and texts. More about Elie Jolliet as a professional musician on his website: https://www.eliejolliet.ch/

Fig. Collection of church songs in the backend of nodegoat

Corina Liebi (Universität Bern, Historisches Institut): Corina Liebi studies history with a focus on the Middle Ages and is an assistant at the Historical Institute in Bern. In her master’s thesis she deals with the finances of the Hochstift Bamberg and evaluates a chamber office account from 1478. She visualizes the records of these books on maps, which gives her insights into the quantitative and spatial distribution of financial transactions. With a network analysis she also investigates connections between officials.

Fig. Spaces of the diocese and the Hochstift Bamberg, reconstructed within nodegoat

Franziska Zaugg / Mevlane Sejdiji (Universität Bern, Historisches Institut): “A longue durée of violence? War-disabled societies in Southeastern Europe” is a postdoctoral project (SNSF Ambizione), based on the concept of “long duration” developed by Fernand Braudel, which leads the historian’s focus away from the history of events towards more long-term social, cultural and economic structures. The project examines war-disabled societies in Southeastern Europe from the Balkan wars of 1912/1913 to the Balkan conflicts of the late 20th century. The project asks about possible connections between the violence experienced, the nature of memory and its relevance for future conflicts. The projects uses nodegoat to identify and visualize violence clusters on maps and within actor networks.

Fig. Example visualization of clusters of violence

Kaspar Gubler (Universität Bern, Historisches Institut): SNFS SPARK Projekt ‘Dynamic Data Ingestion’ for server-side data harmonisation. The principle of data ingestion in the so-called DDI module of nodegoat is that nodegoat pulls together data centrally on the server from any data sources available via interface. The DDI Module has two important strengths. Firstly, this software module is integrated into a fixed structure. It is therefore not a script which is stored and executed somewhere on a server and, as so often, at some point is no longer updated. Secondly, the DDI module has a graphical interface (Linked Data Module) in which the database fields of the data source can be assigned to the database fields of the nodegoat database, the mapping of the data. A great benefit of the DDI module is therefore the linking of data sets, for example Linked Open Data.

Fig. Testquery and response in the DDI Module. The responded data will be used for the mapping of the databasefields (from data source to nodegoat)