Research Data Architectures in Research Institutions IG Charter

28 Dec 2017

Research Data Architectures in Research Institutions IG Charter



Research data are managed in variety of ICT systems or services and with variety of different technology or system architectures. For example research data repositories, metadata repositories, data brokers, semantic interoperability tools, long term preservation architectures, discoverability tools, data intensive research  or data science platforms, computing environments, project management environments or communication platforms are also IT systems which needs technical interoperability to work efficiently and properly.

Within research data community, there is number of different projects for research data infrastructures. Some of them are disciplinary projects, some owned by some domain and some are international cooperation projects etc. Some projects have smaller  technology challenges and some have bigger ones. One challenge of number of projects is seamless data interoperability between different systems, because this is inevitable part of smooth and efficient user experience. User experience is key factor of the success of any research data service.

Research institutions like universities are important part of the research data workflows because usually these organisations are near researchers and their needs and these organisations have support services etc.

General level idea of this IG is collaborate and discuss about systems, technologies and data flows as a part of the solution architectures of the research data infrastructures of research institutions.

With the one word, this is about nuts and bolts of the research data infrastructures used in the local research infrastructures.

User scenario(s) or use case(s) the IG wishes to address

Group have three main user scenarios:

  • Knowledge support for research data infrastructure projects and services

  • Shared knowledge about enterprise architecture best practises of the research data tools and infrastructures in the research institutions and their projects

  • Shared understanding about objectives and goals between stakeholders (like institutions, infrastructure developers, research data engineers, development projects, service and technology vendors etc.) of the research data architectures is prerequisite of any research data infrastructure project success



Main themes of the IG are

  • tools like systems, technologies and architectures used as a part of the services and solutions in research institutions

  • interoperability between institutional research data infrastructures and international or discipline based infrastructures

  • different institutional approaches to governance structures and business processes to respond to ICT demands for research (e.g. capacity planning/forecasting for storage)

  • case studies of solutions in the research data infrastructure projects in research institutions like universities

  • presentations of technical innovations and ideas in the area of research data infrastructures

  • best practises of the research data architectures in research institutions

This group have connections with some other RDA groups like:

  • National Data Services IG (usually research institutions support, use or deliver services and solutions of this national data service vendors or operators)

  • Repository Platforms for Research Data IG and Research Data Repository Interoperability WG (repositories are essential part of the research data infrastructures, but not only ones)

  • Data Fabric IG (technology and interoperability solutions of the research institutions are essential part of the big picture)

  • Storage Service Definitions WG (formerly “WG QoS-DataLC Definitions”, storage definitions, vocabularies etc. are important part of the daily work with the research data architectures)

The IG differs from these RDA IG’s or WG’s in following areas:

  • Scope of the group is more in institutional level solutions and architectures than for example national level infrastructures or general level architectures

  • Idea of the groups is to discuss technological solutions of the research institutions and other organisations in enterprise architecture level, not only one part of it

  • IG will connect also industrial solutions in the area of the research data and research data management


The target audience of this IG may include all those people who are involved research data infrastructure projects or services as well as users who are interested in the topic of systems, technologies and data flows as a part of the research data infrastructures. For example research data infrastructure project owners or product owners, project managers, ICT architects, developers, data managers, data engineers, data scientists and service users who are interested in technology issues are typical target audience of this IG. Also representatives of the service or technology vendors and data industry are welcome.


Outcomes of the IG:

  • Shared knowledge about research data tools, infrastructures and architectures

  • Knowledge base for best practises and lessons learned


Interest group will have meetings in RDA plenaries (if accepted in the schedule). Between Plenaries IG will collect best practises into the open knowledge base. Group will have 1 - 2 web meetings between plenaries (possibly more, if it is needed).


  • P10: BoF and start of the review process

  • P11: Starting the IG; Discussion about tools, best practises, use cases and knowledge base

  • P12: Templates for the best practises reports

  • P13: First collection of the knowledge base

Potential Group Members


















James A J




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