ID+Lab – Analyzing, Modeling and Designing Interdisciplinarity

Michael Dürfeld, Anika Schultz, Christian Stein, Benjamin Thomack, Nadia Zeissig
2018 Artnodes  
Interdisciplinary collaboration is the key to solving complex tasks. At the same time, the communication and cooperation within such a collaboration are themselves characterized by multifaceted, dynamic processes. The ID+Lab explores the structures of interdisciplinary cooperation in order to better understand, visualize and test them. The ID+Model developed for this purpose enables us to acquire an altogether new and detailed view of these structures. ID+Model allows complex collaborations to
more » ... collaborations to be analyzed, modeled and designed as a network of actors and connections. The basic elements are eleven ID+Actors that have proven to be essential in interdisciplinary collaborations: people, organizations, events, tasks, methods, tools, money, topics, time, sources and places. The ID+Actors form a network through semantically defined ID+Ties with different status, values and intensity. The formal definition of modeling in the ID+Ontology makes research data available for the Semantic Web and the Linked Open Data Cloud. Based on the ID+Model, the ID+Lab is developing a semantic research contextualization platform – the ID+Stage. The ID+Backstage modeling tool uses a structured question dialogue to gather all the critical actors and connections of a publication, translate them in the background into a machine-readable format, and store them. When a research result is connected to the modeled context of origin, the ID+Publication is formed. Consequently, not only are the research results disclosed, so are their development processes. The ID+Publications are published on the ID+Stage. The ID+Ontology enables the semantic recording and searchability of all data as a modeling foundation.
doi:10.7238/a.v0i22.3214 fatcat:xswyzdoyvzatzc3aiehi5yzjrm