2012/01/01 by Joris van Zundert, Van Zundert, Joris
Arts and Humanities · Computer Science · Decision Sciences · #Digital Humanities and Scholarship #Digitalisierung #Forschung #Geisteswissenschaft #Heuristik #Infrastruktur #Innovation #Methodologie #Nachhaltigkeit #Paradoxie #Praxis #Scientific Computing and Data Management #Semantic Web and Ontologies #Standardisierung #Technologie #Workflow-Management #digitalization #heuristics #humanities #infrastructure #innovation #methodology #paradoxy #practice #research #standardization (meth.) #sustainability #technology #workflow management
paper · pdf · doi:10.12759/hsr.37.2012.3.165-186
openalex publication_date 2012/01/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
Programs aiming to develop large scale digital infrastructure for the humanities motivate this development mostly by the wish to leverage methodological innovation through digital and computational approaches. It is questionable, however, if large scale infrastructures are the right incubator model for bringing about such innovation. The necessary generalizations and standardizations, management and development processes that large infrastructures need to apply to cater to wholesale humanities are at odds with well-known aspects of innovation. Moreover, such generalizations dose off many possibilities for exploring new modeling and computing approaches. The author argues that methodological innovation and advancing the modeling of humanities data and heuristics is better served by flexible small-scale research focused development practices. It will also be shown that modeling highly specific distributed web services is a more promising avenue for sustainability of highly heterogeneous humanities digital data than standards enforcement and current encoding practices.