RDA Working on

RDA is a pragmatic and agile organization, and through the work of its Working and Interest Groups, directly and logically tackles numerous data infrastructure challenges.

Any RDA member may initiate or join a Working or Interest group.  To become a member of the RDA, individuals should register with the RDA online community and affirm their support for the RDA Guiding Principles.

 

Working Groups & Interest Groups: what's the difference?

Working Groups

Working Groups are short-term (18 months) and come together to develop and implement data infrastructure, which could be tools, policy, practices and products that are adopted and used by projects, organizations, and communities. Embedded within these groups are individuals who will use the infrastructure and help in making it broadly available to the public.

As of March 2016, RDA boasts 25 working groups.

View the current listing of Working Groups>> 

Interest Groups

Interest groups are open-ended in terms of longevity.  They focus on solving a specific data sharing problem and identifying what kind of infrastructure needs to be built.  Interest Groups can identify specific pieces of work and start up a Working Group to tackle those.;

As of March2016, RDA boasts almost 70 interest groups.


View the current listing of Interest Groups >>
 


Many of our members propose Birds of a Feather Meetings at the bi-annual RDA Plenary Meetings to gauge interest and gather momentum and consensus for the creation of Working & Interest Groups.

WG Working Groups - IG Interest Groups

WG

Agrisemantics WG

Status: 
Recognised & Endorsed
Chair(s): 
Sophie Aubin, Caterina Caracciolo, Pangiotis Zervas
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Steve Diggs

The goal of the Agrisemantics WG is to gather community-based requirements and use cases for an infrastructure that supports appropriate use of semantics for data interoperability, with special focus on agriculture.

 

The outputs of the WG will be: 1) A report on semantics landscape for agricultural data, 2) A set of use cases and requirements, 3) A document on recommendations for the future of semantics for agricultural data - software, functionalities, semantic assets to enhance data interoperability in agriculture. 

 

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WG

Array Database Assessment WG

Status: 
Recognised & Endorsed
Chair(s): 
Peter Baumann, Kwo-Sen Kuo
Secretariat Liaison: 
Yolanda Meleco
TAB Liaison: 
Rainer Stotzka

The Array Database Assessment WG is inspecting the emerging technology of Array Databases to provide support for technologists and decision makers considering Big Data services in academic and industrial environments (such as in large-scale data centers) by establishing best-practice guidelines on how to optimally serve multi-dimensional gridded Big Data through Array Databases. This will be accomplished through a neutral, thorough hands-on evaluation assessing available Array Database systems and comparable technology

  • based on relevant standards, such as the NIST Big Data Reference Architecture, ISO “Array SQL”, and OGC Web Coverage Processing Service (WCPS) for the geo domain;
  • comparing technical criteria like functionality, thereby eliciting the state of the art;
  • establishing and running a combination of domain-driven and domain-neutral benchmarks that will be run on each platform;
  • as well as real-life, publicly accessible deployments at scale.

The result, consisting of the ADA:WG report together with the open-source benchmarking software and the services established, will establish a hitherto non-existing overview on the state of the art and best use of Array Databases in science, engineering, and beyond.

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WG

Brokering Framework Working Group

Status: 
Recognised & Endorsed
Chair(s): 
Wim Hugo, Michael Diepenbroek, Jay Pearlman, Stefano Nativi
Secretariat Liaison: 
Kathy Fontaine
TAB Liaison: 
Tobias Weigel

The scope of the WG covers data sources from research and scholarly communication. Within this domain obstacles for wider application of brokering techniques are:

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WG

Certification and Accreditation for Data Science Training and Education WG

Status: 
Under community review
Chair(s): 
Steve Brewer, Malgorzata Krakowian
Secretariat Liaison: 
Fotis Karayannis
TAB Liaison: 
Carole Palmer

The Certification and Accreditation for Data Science Training and Education WG was set up following the RDA 8th Plenary BoF meeting which initiated the discussions on approaches to analyzing and comparing data science related accreditation and certification schemes and related practices for data science and data management professions in different countries around the world.

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WG

Data Citation WG

Status: 
Recognised & Endorsed
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Larry Lannom and Wenbo Chu

The RDA Working Group on Data Citation (WG-DC) aims to bring together agroup of experts to discuss the issues, requirements, advantages and shortcomings of existing approaches for efficiently citing subsets of data. The WG-DC focuses on a narrow field where we can contribute significantly and provide prototypes and reference implementations.

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WG

Data Type Registries WG & #2

Status: 
Recognised & Endorsed
Chair(s): 
Larry Lannom, Tobias Weigel, Simon Cox
Secretariat Liaison: 
Yolanda Meleco

Specification for type registries and federation strategy

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WG

International Materials Resource Registries WG

Status: 
Recognised & Endorsed
Chair(s): 
Laura Bartolo, James Warren
Secretariat Liaison: 
Kathy Fontaine
TAB Liaison: 
Tobais Weigel

As a domain, Materials Science and Engineering (MSE) is exceptionally broad and interdisciplinary with its origins most directly from metallurgy, ceramics and polymer science, but also with important ties to other disciplines such as physics, chemistry, chemical engineering, geology, electronics, optics, and biology. As a global community, MSE is expanding rapidly worldwide through the establishment of large, multi-institutional academic research centers, government labs, industrial consortia, and computing facilities.

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WG

Metadata Standards Catalog WG

Status: 
Recognised & Endorsed
Chair(s): 
Rebecca Koskela, Keith Jeffrey, Alex Ball
Secretariat Liaison: 
Kathy Fontaine
TAB Liaison: 
Francoise Genova

The Metadata Standards Catalog (MSC) Working Group will produce a machine-actionable catalog of metadata standards submitted by all RDA WGs. The catalog system will have an end-user input form and an API for submission from other software. Similarly it will have a user interface for query/reporting and an API for software to query and retrieve suitable standards information. The MSC is a fundamental tool in any autonomic e-research fabric. This work builds on the outputs of the Metadata Standards Directory Working Group: both the Metadata Standards Directory (MSD) itself and the set of attendant use cases.

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WG

Metadata Standards Directory WG

Status: 
Recognised & Endorsed
Chair(s): 
Jane Greenberg, Keith Jeffery, Rebecca Koskela, Alex Ball
Secretariat Liaison: 
Contact Enquiries email
TAB Liaison: 
Larry Lannom

Collaborative, open directory of metadata standards for RD

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WG

On-Farm Data Sharing (OFDS) WG

Status: 
Pending action
Chair(s): 
Tom Morris, Nicolas Tremblay
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Tobias Weigel

Farmers have the capability as they have never had before to critically evaluate management practices using field-scale replicated strip trials. Farmers have gained this powerful capability because yield monitors on combines enable accurate measurement of yields. Networks of farmers have become increasingly common to exploit the potential of yield monitors to evaluate management practices at the field level. Networks of farmers have also become increasingly common because farmers understand the power of evaluating management practices across many fields.

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WG

PID Kernel Information WG

Status: 
Under community review
Secretariat Liaison: 
Timea Biro
TAB Liaison: 
Larry Lannom

As has been discussed in several awareness raising sessions with the RDA community at RDA Plenaries 7 and 8 in special sessions carried out in the Data Fabric IG and at two extracurricular RDA events, there is a gap to realization of the power of the combined RDA Recommendations (PID Information Types Recommendation and Data Type Registry Recommendation). This gap, described in more detail below, is in coming to consensus around what makes up PID Kernel Information.

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WG

Provenance Patterns WG

Secretariat Liaison: 
Stefanie Kethers

Tracking provenance for research data is vital to science and scholarship, providing answers to common questions researchers and institutions pose when sharing and exchanging data.

The tasks for this Working Group focus on finding, detailing and recommending best practices for provenance representation and management.

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WG

QoS-DataLC Definitions WG

Status: 
Pending action
Chair(s): 
Paul Millar
Secretariat Liaison: 
Laura Baracchi

QoS-DataLC Definitions WG stands for Quality-of-Service and Data-Lifecycle Definitions Working Group. 

 

Quality-of-Service (QoS) describes the largely time independent garantees that a storage system provides; for example, that it will provide access to data within some period of time, or that data will be available with at least some defined amount bandwidth.  Such promises do not have a temperal aspect: the storage system will honour them while data is bound to the specific QoS.

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WG

RDA / TDWG Metadata Standards for attribution of physical and digital collections stewardship

Status: 
Recognised & Endorsed
Chair(s): 
Anne E. Thessen, Matt Woodburn, Dimitris Koureas
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Carole Palmer

This working group will address the incomplete standards for giving attribution for the maintenance, curation, and digitization of collections. Within the scope of the WG, collections can include digital data and physical objects. This WG will produce use cases from a variety of disciplines that will be used to create the final deliverable – an attribution metadata schema. Adopters will include stewards of collections (such as the Natural History Museum London) and aggregators of professional research metrics (such as ImpactStory). 

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WG

RDA/WDS Publishing Data Bibliometrics WG

Status: 
Recognised & Endorsed
Chair(s): 
Kerstin Lehnert, Todd Carpenter, John Kratz, Sarah Callaghan
Secretariat Liaison: 
Contact Enquiries email

Conceptualize data metrics and bibliometrics services encouraging more and better data citations

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WG

RDA/WDS Publishing Data Workflows WG

Status: 
Recognised & Endorsed
Chair(s): 
Sunje Dallmeier-Tiessen, Fiona Murphy, Amy Nurnberger, Varsha Khodiyar
Secretariat Liaison: 
Laura Baracchi
TAB Liaison: 
Rainer Stotzka and Ingrid Dillo

Analysis of existing and emerging workflows and standards for data publishing, including deposit and citation, and reference models and implementations for application in new workflows.

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WG

RDA/WDS Scholarly Link Exchange (Scholix) WG

Status: 
Recognised & Endorsed
Chair(s): 
Adrian Burton, Martin Fenner, Paolo Manghi, and Wouter Haak
Secretariat Liaison: 
Lynn Yarmey
TAB Liaison: 
Larry Lannom

RDA WDS Scholarly Link Exchange (Scholix) WG (Draft) Agenda - P9 Barcelona

Wednesday April 5th 11.30 - 13.00

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WG

Research Data Collections WG

Status: 
Recognised & Endorsed
Chair(s): 
Bridget Almas, Frederik Baumgardt, Tobias Weigel, Tom Zastrow
Secretariat Liaison: 
Kathy Fontaine
TAB Liaison: 
Carole Palmer

A unified cross-community approach to building and managing collections of data objects and a common model for understanding them

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WG

Research Data Repository Interoperability WG

Status: 
Recognised & Endorsed
Chair(s): 
Thomas Jejkal, David Wilcox
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Ingrid Dillo

Charter

The Research Data Repository Interoperability Working Group will establish standards for interoperability between different research data repository platforms. These standards may include (but are not limited to) a generic API and import/export formats.

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WG

Rice Data Interoperability WG

Status: 
Recognised & Endorsed
Chair(s): 
Ramil Mauleon, Shaik Meera, Pierre Larmande
Secretariat Liaison: 
Yolanda Meleco
TAB Liaison: 
Paul Uhlir

We can have a discussion on Rice here.

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WG

WDS/RDA Assessment of Data Fitness for Use WG

Status: 
Under Council review
Secretariat Liaison: 
Lynn Yarmey
TAB Liaison: 
Andrew Treloar

The increasing availability of research data and its evolving role as a first class scientific output in the scholarly communication requires a better understanding of and the possibility to assess data quality, which in turn can be described as conformance of data properties to data usability or fitness for use. These properties are multifaceted and cover various aspects related to data objects, access services, and data management processes such as the level of annotation, curation, peer review, and citability or machine readability of datasets. Moreover, the compliance  of a data repository or data center providing datasets - for example with certification requirements - could serve as a useful proxy. Firstly, a concept of data fitness requires assessment of quality criteria to be included as well as the weighing of each of those criteria. The process should preferably lead to the development  of a corresponding metric. Secondly, we want to find effective ways to expose and communicate this metric, for e.g. by using a labelling or tagging system whereby different usability levels are made explicit.

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WG

Wheat Data Interoperability WG

Status: 
Recognised & Endorsed
Chair(s): 
Esther Dzalé Yeumo, Richard Fulss
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Françoise Genova

Status: Recognized and Endorsed The Wheat Data Interoperability Working Group aims to provide a common framework for describing, representing linking and publishing Wheat data with respect to open standards.

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IG

Active Data Management Plans IG

Status: 
Recognised & Endorsed
Chair(s): 
David Giaretta, Helen Glaves, Kevin Ashley
TAB Liaison: 
Carole Palmer

A nucleus for discussing requirements for and identifying developments needed to support active (i.e. able to evolve and be monitored) data management planning.

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IG

Archives and Records Professionals for Research Data IG

Status: 
Recognised & Endorsed
Chair(s): 
Elise Dunham, Rebecca Grant, Laura Molloy, Sarah Ramdeen
Secretariat Liaison: 
Timea Biro
TAB Liaison: 
Carole Palmer

The objective of this group is to explore the areas where the principles and practices in the information disciplines of archives, records management, and research data curation overlap and where they diverge. Examining alignments in theoretical frameworks, practical implementations, and goals among these information disciplines and determining areas where practitioners across them can learn from each other could lead to the development of a vibrant community of information professionals working across different domains.

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IG

Big Data IG

Status: 
Recognised & Endorsed
Chair(s): 
Peter Baumann, Ben Evans, Kwo-Sen Kuo, Morris Riedel

Big Data Interest Group seeks to address community needs on all things having to do with Big Data. Specifically, it aims to produce a set of recommendation documents to advise diverse research communities with respect to: * How to select an appropriate Big Data solution for a particular science application with optimal value? and * What are the best practices in dealing with various data and computing issues associated with such a solution?

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IG

Biodiversity Data Integration IG

Status: 
Recognised & Endorsed
Chair(s): 
Nicola Nicolson, Vince Smith, Paul Kirk, Dimitris Koureas

Adoption of common tools and services establishing data interoperability within the biodiversity domain

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IG

Brokering IG

Status: 
Recognised & Endorsed
Chair(s): 
Stefano Nativi, Jay Pearlman

More interoperable data via brokering framework services

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IG

Chemistry Research Data IG

Status: 
Recognised & Endorsed
Chair(s): 
Leah McEwen, Stuart Chalk, Ian Bruno, David Martinsen, Richard Kidd
Secretariat Liaison: 
Lynn Yarmey
TAB Liaison: 
Larry Lannom

Introduction: We are proposing a Chemistry Research Data Interest Group under the auspices of the Research Data Alliance (RDA), to foster diverse professional exchange on issues particular to data originating from the field of chemistry. Chemistry, as one of the central sciences, has fundamental impact on the fields of health, pharmaceuticals, materials, energy and many other applied sciences.

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IG

Data Discovery Paradigms IG

Status: 
Recognised & Endorsed
Chair(s): 
Anita de Waard, Siri Jodha Singh Khalsa
Secretariat Liaison: 
Kathy Fontaine
TAB Liaison: 
Andrew Treloar

RDA Interest Group Charter

Name of Interest Group:  Data Discovery Paradigms IG


Introduction:

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IG

Data Fabric IG

Status: 
Recognised & Endorsed
Chair(s): 
Bridget Almas, Jianhui Li, Peter Wittenburg

Overarching concept & framework for data infrastructures

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IG

Data for Development IG

Status: 
Recognised & Endorsed
Chair(s): 
Ingvill C. Mochmann

Access and usage of data relevant to development studies, human rights, conflict research and vulnerable and hidden populations.

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IG

Data Foundations and Terminology IG

Status: 
Recognised & Endorsed
Chair(s): 
Gary Berg-Cross, Raphael Ritz
TAB Liaison: 
Helen Glaves

Basic data concepts & framework models along with their vocabularies focused on supporting a broader model and vocabulary agreements.

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IG

Data in Context IG

Status: 
Recognised & Endorsed
Chair(s): 
Keith Jeffery, Rebecca Koskela

Contextual metadata & contextually-aware standardization

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IG

Data Rescue IG

Status: 
Recognised & Endorsed
Chair(s): 
Elizabeth Griffin, David Gallaher, Lesley Wyborn
Secretariat Liaison: 
Timea Biro
TAB Liaison: 
Carole Palmer

The natural sciences possess a rich heritage of data spanning the entire era of research, encompassing both modern electronic formats and analogue ones (paper, film, books, pro-formas, charts, maps, photographic plates) or primitive magnetic tapes. The information in older data is critical for quantifying changes and trends and differentiating between natural or anthropogenic-induced changes. Unfortunately, most historical data have not been converted into electronic datasets.

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IG

Data Versioning IG

Status: 
Pending action
Secretariat Liaison: 
Stefanie Kethers

The demand for reproducibility of research results is growing, meaning that it will become increasingly important for a researcher to be able to cite the exact extract of the data set that was used to underpin their research publication. The capacity of computational hardware infrastructures have grown it is now common to have online petabyte data stores, This has encouraged the development of concatenated seamless data sets where users can use web services to select subsets based on spatial and time queries.

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IG

Digital Practices in History and Ethnography IG

Status: 
Recognised & Endorsed
Chair(s): 
Kim Fortun, Mike Fortun, Jason Baird Jackson

About

RDA’s Digital Practices in History and Ethnography Interest Group (DPHP-IG) works to advance data standards, practices and infrastructure for historical and ethnographic research, contributing to broader efforts in the digital humanities and social sciences.

 

Goals

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IG

Domain Repositories Interest Group

Status: 
Recognised & Endorsed
Chair(s): 
Ruth E. Duerr, Robert J. Hanisch, Peter Doorn
TAB Liaison: 
Françoise Genova

Status: Recognized & Endorsed The Domain Repositories Interest Group will bring together active data repositories that serve specific scientific disciplines. Domain repositories provide archiving services tailored to the needs of scientific communities, and they mediate between domain scientists and rapid changes in information and data science.

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IG

Education and Training on handling of research data IG

Status: 
Recognised & Endorsed
Chair(s): 
Yuri Demchenko, Laura Molloy, Amy Nurnberger, Christopher Jung

The context of increasing volumes of data being created by researchers and the strengthening of requirements for research data management and data sharing has created demand for a new and evolving set of competencies and skills for researchers who create and use the data, and the growing cadre of professionals who support them.

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IG

ELIXIR Bridging Force IG

Status: 
Recognised & Endorsed
Chair(s): 
Bengt Persson, Carole Goble, Rob Hooft

Life sciences are becoming increasingly more data intensive, especially resulting from the huge improvements in large-scale gene sequencing and other “omics” techniques. There is need for large-scale sustainable data storage methods allowing secure and easy access to these highly complex data. Simultaneously, since life science research projects increasingly depend on more than one type of measurement, there is a wide–felt need for integrating data of different types.

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