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PID Kernel Information: Scalable Automation for Data Discovery

This document outlines the need for a tiny amount of metadata injected into PID records to improve scalability and automation for data identification, discovery, and use. It presents the guiding principles, high-level architecture, and initial adopters of the PID Kernel Information profile. Feedback is desired from the RDA community to refine and enhance the recommendations.

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PID Kernel Information: Scalable Automation for Data Discovery

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  1. PID Kernel Information WGTobias Weigel, Beth PlaleRDA P11 Berlin, March 2018 www.rd-alliance.org - @resdatall CC BY-SA 4.0

  2. Summary of the Problem • Current global middleware infrastructure exposes shortcomings for data identification, discovery and use • No good approach for automated services dealing with millions of objects in short timeframes • Needed: A tiny, selected amount of meadata injected into PID records • Benefits: Scalability, automation, cross-community solutions

  3. Status of the Recommendation • 7 Guiding Principles for PID Kernel Information • Independent of specific infrastructure or technologies • Geared towards minimizing human interaction, long-term stability of processes relying on Kernel Information • Core Kernel Information profile draft • Exemplary high-level architecture • Use cases and community adoption

  4. Initial Adopters • RPID project: Pilot test bed for combining multiple RDA recommendations for advanced PID usage • European Network for Earth System Modelling: Streamlining existing use of Kernel Information for CMIP6 to be aligned with recommendation • DOI Foundation: Evaluation of Kernel Information concept for range of DOI applications • EUDAT B2HANDLE service: PID profiles for the EOSC-hub

  5. Expected Impact of the Deliverable • Guiding Principles for sustainable, scalable middleware PID usage • Core Kernel Information profile as reliable common core across infrastructures and community applications • Provide nucleus for community or application-specific extensions

  6. Feedback Desired from RDA Community • Are the Guiding Principles applicable and is their scope well suited? • Are there alternative good approaches to the architecture design? • Are there additional service perspectives or other use cases?

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