IANUS long-term archive and research data centre
A basic requirement of modern research is the long-term preservation and sustainable publication of research data and results. This applies in particular to archaeology and ancient studies, where data is often obtained from non-reproducible excavations.
The IANUS long-term archive and research data center, which was created under the coordination of the German Archaeological Institute from a cooperation project between various institutions, is currently being expanded for cross-community use as part of NFDI4Objects.
The aim is for the IANUS long-term archive and research data center to offer services for digital long-term archiving to the community as a certified NFDI4Objects service, even on a very large scale and across the boundaries of federal states, institutions and project durations. To this end, the existing technical infrastructure and the modeling of the archiving process are currently being further developed and a viable business model is being designed.
The IANUS long-term archive and research data center can already be used by the community. Its infrastructure based on the OAIS standard ensures the long-term availability and reusability of research data. In the current pilot phase, data providers are invited to contact the project managers directly at ianus@dainst.de.
The IANUS long-term archive and research data center supports researchers with
information and assistance
- preparing data for subsequent archiving in IANUS according to the OAIS standard
- to create the necessary metadata
- within the framework of the IANUS FDM recommendations on the topics of data organization, data formats and conversion, data naming and other research data management topics
Reliable data storage
- Long-term availability >10 years
- Assignment of persistent identifiers (DOIs)
- Verification of data integrity
Flexible data access:
- Publication of data via the IANUS data portal
- Interfaces for programmatic access to the published data to enable integration of the data into analyses and workflows.