9.1 FAIRification requires resources and expertise

Unlike traditional publications, collection data requires continuous curation to maintain a high level of quality over time while meeting evolving usage requirements. Establish data quality management as a defined task within your project activities or within your institution's task profile. For libraries, archives, and museums, the curation of inventory data is an essential task that must be allocated sufficient resources.

Set aside both time and budget for investments in technical infrastructure and personnel.

Invest in data infrastructures or seek out competent partner institutions or networks. Hire data specialists, or train yourself and your team. Familiarise yourself with digital methods and the practices of research data management.

You can receive support from the NFDI4Culture-Helpdesk or the repositories listed at NFDI4Culture. Other contact points include: Research data services of the WG Data Centres of the association Digital Humanities in German-speaking Countries e. V., the research data management initiatives of the German federal states, the Coordination Service for Scientific University Collections in Germany, digiS for cultural heritage institutions in Berlin, digiCULT for museums, MusIS for museums in Baden-Württemberg and the advisory services of the federal states for museums and archives.