A common PID Kernel Information Profile for the German Helmholtz Association of Research Centres

In the concept of FAIR Digital Objects, PID Kernel Information is key to machine actionability of digital content. Strongly relying on Data Types and stored in a PID record directly at the PID resolution service, allows PID Kernel Information to be used by machines for fast decision making. To make a first step into the direction of standardizing PID Kernel Information, the RDA Working Group on PID Kernel Information has defined a first proposal of a core Kernel Information Profile (KIP) together with a list of seven guiding principles helping to decide on which information could be part of a KIP and which information should be stored elsewhere.
The Helmholtz Metadata Collaboration (HMC) Platform is a joint endeavor across all research areas of the Helmholtz Association, the largest association of large-scale research centers in Germany. The goal of HMC is to make the depth and breadth of research data produced by Helmholtz Centres findable, accessible, interoperable, and reusable (FAIR) for the whole science community. To reach this goal, the concept of FAIR Digital Objects has been chosen as top-level commonality across all research fields and their existing and future infrastructures. ... mehrIn order to fulfill this role, a common Helmholtz KIP has been agreed on serving as basis for all FAIR Digital Objects created in the context of HMC. This poster describes the Helmholtz KIP and elaborates on decisions leading to differences compared to the core KIP recommended by the RDA. While remaining mostly compatible to the RDA core KIP, the Helmholtz KIP adds some additional properties that satisfy the multidisciplinary environment it is made for. Thus, it serves as a good starting point for rolling out the FAIR Digital Object concept over all Research Data Management Infrastructures of the Helmholtz Association and beyond.
In addition, the poster provides a first impression of a demonstrator, which is currently under development and should serve as showcase. In the first step, we will allow to transform arbitrary datasets from Zenodo into FAIR Digital Objects using our Helmholtz KIP. In a next step, we plan to also include datasets from infrastructures hosted at Helmholtz Centres to create a huge and unprecedented network of FAIR Digital Objects, which provides scientists with an incredible pool of linked and searchable research data.
This work has been supported by the research program ‘Engineering Digital Futures’ of the Helmholtz Association of German Research Centers and the Helmholtz Metadata Collaboration Platform.