Abstract
Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.
Highlights
Background and technical foundationsFor 15 years the Humanities’ Asset Management System (GAMS – Geisteswissenschaftliches Asset Management System)[1] has been providing longterm preservation of research data at the Faculty of Arts and Humanities at the University of Graz
All projects existing at that time were transferred to a single environment for long-term archiving and provision of scientific data and content
The vision of GAMS is to ensure sustainable availability and flexible use of digitally annotated and enriched scientific content. This is achieved through a largely XML-based content strategy based on domain specific data models
Summary
For 15 years the Humanities’ Asset Management System (GAMS – Geisteswissenschaftliches Asset Management System)[1] has been providing longterm preservation of research data at the Faculty of Arts and Humanities at the University of Graz. The aim of GAMS is to provide long-term archiving and storage for digital content but to function as a platform for realizing standardized workflows in research projects in the Humanities. All projects existing at that time were transferred to a single environment for long-term archiving and provision of scientific data and content This new environment enables the Centre to conduct different research projects of various Humanities’ domains with the same standardized infrastructure. Based on standardized data models and annotation languages, sustainable solutions for semantic markup and enrichment of scientific content and sources create new concepts of long-term preservation and knowledge management. The vision of GAMS is to ensure sustainable availability and flexible (re-) use of digitally annotated and enriched scientific content This is achieved through a largely XML-based content strategy based on domain specific data models. The effective migration of the whole system to the new version is planned for 2019
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