Realizing FAIR Digital Objects for the German Helmholtz Association of Research Centres

The Helmholtz Association (Anonymous 2022d), the largest association of large-scale research centres in Germany, covers a wide range fields employing more than 43.000 researchers. In 2019, Metadata Collaboration (HMC) 2022f) Platform as joint endeavor across all areas was started to make depth and breadth data produced by Centres findable, accessible, interoperable, reusable (FAIR) for whole science community. To reach this goal, concept FAIR Digital Objects (FAIR DOs) has been chosen top-level commonality existing future infrastructures fields. doing so, HMC follows original approach realizing DOs based on globally unique, Persistent Identifiers (PID), e.g., provided https://handle.net/, machine actionable PID Records strong typing using Data Types like https://dtr-test.pidconsortium.eu/#objects/21.T11148/1c699a5d1b4ad3ba4956 registered Type Registry, http://dtr-test.pidconsortium.eu/. these areas, can build great groundwork Research Alliance DO Forum. However, when it comes realization, there are still some gaps that will have be addressed during our work raised presentation. For single components PIDs Types, already available. Here, Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) 2022e) provides support with their many years experience field. Within framework ePIC consortium 2022c), GWDG is offering one hand prefixes sustainable business model, other very active terms providing base services required DOs, different instances Registries accessing, creating, managing DOs. Besides that, context we developed couple technical creation management DOs: Typed Maker (Pfeil 2022b) interfaces validating, machine-actionable metadata stored record, or testbed, currently evolving into Lab 2022a), serving reference implementation setting up ecosystem. introducing not only about services, but also requires definition agreement interfaces, policies, processes. A first step direction made agreeing Kernel Information Profile (http://dtr-test.pidconsortium.eu/#objects/21.T11148/b9b76f887845e32d29f7). defined Weigel et al. (Weigel 2018) key actionability digital content. Strongly relying record directly at resolution service, used machines fast decision making. an attempt introduce assets within beyond establish basis Hereby, integrates recommendations RDA Working Group far possible. By extending Draft additional, mostly optional attributes, allows adding contextual information topic, contact information, which then available decisions. Furthermore, additional properties representing relationships between e.g, hasMetadata isMetadataFor, were introduced allow mutual relations Currently, demonstrator implemented integrating above i.e., Service, Maker. Fig. 1 outlines architecture overview version demonstrator. version, semi-automatic workflow, user enters Zenodo 2022a) graphical Web frontend. mapping component tries fill automatically least obtained record. manual validation loop, may add update certain before they sent instance Maker, validated against Profile, newly consortium. addition, records searchable via frontend top search index, realized https://www.elastic.co/. After implementing generic mappers supporting repository platforms lessons learned, lead growing number holds potential significant benefits scientists, central point sets repositories, identification relevant datasets, knowledge graphs sets, platforms, researchers organizations. gathered its documentation help others apply easily, ever-growing collection increasing quality level automation time.