Acceleration of quality in the humanities – chances of open source implementation in research and training[Bearbeiten]
The goal of this project is to establish awareness and explore potential solutions for the automatic reproduction of incorrect data in Art History in the German landscape, acting exemplary to illustrate the as of yet largely unrealized potential for open science in the humanities.
Open science offers new possibilities in comparing data, verifying research and in using more democratic participation and feedback to help identify and correct incorrect data. However, in the existing system the correction of unclean data is often only a by-product of good research.
Within the current shift, where open science practices are being implemented, and shared open source guidelines are being formulated, it is instrumental to analyze the systematic origins and replicating modes that create and recreate incorrect data in order to establish better practices.
With a set of three specific case studies the proposal plans to realize a publication examining the status of open source, digital application and critical reflection of data quality in Art History. By documenting clear examples tracing the citation and re-citation of misinformation in historical, and now digital, form, the proposal hopes to help establish source criticism and source correction as its own topic worthy of becoming a complementary science.
- Name: Charlotte Oertel
- Institution: The Digital Cicognara Library Project, Princeton University; sowie IZT – Institut für Zukunftsstudien und Technologiebewertung, Berlin