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co-chairs

Ulrich Schwardmann

Christophe Blanchi

 

Members

FDO-BIG

Basic Infrastructure Group

A fully functioning FDO landscape is dependent on a well-organised and operational infrastructure of basic components that can be used by every researcher at the end. For illustration purposes we want to describe three exemplary infrastructure components:

  • a distributed PID landscape allowing every researcher and data centre to participate in registering PIDs (Handles, DOIs) at low costs with Kernel Attributes that meet the functional requirements of the research – yet the service landscape is still fragmented
  • a process to define Kernel Attributes needs to be urgently defined, register them in well-supported type registries and offer them for reuse as a basic mechanism for interoperability
  • measures need to be taken to define a basic set and its possible extensions in a broadly accepted way as profiles, such that the choice of attributes becomes transparent
  • a distributed landscape of well-supported type registries needs to be set up based on the existing specifications, a process needs to be identified to extend the specifications if required

In addition, the group will work out quality requirements for all infrastructure components and specify a quality seal, since researchers need to rely on the 24/7 functioning of these services.

FDO-BIG will closely work together with FDO-TSIG which will focus on FDO specifications and implementations and with RDA DFIG to achieve its goals.

The current co-chairs of FDO-BIG are Ulrich Schwardmann and Christophe Blanchi. For requests/comments send an email to uschwar1@gwdg.de.

Latest group news

Call for papers

Call for Papers on Canonical Workflow Frameworks for Research

Data Intelligence is seeking papers for a special issue devoted to Canonical Workflow Frameworks for Research. Deadline for abstract submissions: March 14, 2021.

The journal is seeking papers describing practical experience on the design and deployment of effective workflows, supporting major phases of the research data lifecycle; especially those phases surrounding (either side of) the core activities of experimentation, data processing and analysis i.e., those phases concerned with hypothesis and investigation planning, data management planning, organization and operation, reproducibility planning, provenance recording, and data curation and publication in successive steps.

More details can be found on the OSF CWFR page.

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