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 December 2017, RDA boasts 30 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 December 2017, RDA boasts 57 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
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Steve Diggs

The group started in Jan 2017 and will close on June 2018. 

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:

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WG

Array Database Assessment WG

Status: 
Recognised & Endorsed
Chair (s): 
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

Data Citation WG

Status: 
Completed
Chair (s): 
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 Usage Metrics WG

Status: 
Pending submission
Secretariat Liaison: 
Lynn Yarmey

Research data is increasingly recognized as an important output of scholarly research, however, there are not yet standardized or comprehensive research data metrics as there are with articles. While data citations standards are being constructed and gaining user adoption, there are not yet usage (views, downloads) metrics for data. In addition, data citations are currently not yet counted and aggregated into clear metrics, as it is done for articles.

 

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WG

Data Versioning WG

Status: 
Pending submission
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Tobias Weigel

The demand for reproducibility of research results is growing, Therefore 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.

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WG

DMP Common Standards WG

Status: 
Recognised & Endorsed
Secretariat Liaison: 
Lynn Yarmey
TAB Liaison: 
Wenbo Chu

The specific focus of this working group is on developing common data model and specifying access mechanisms that make Data Management Plans (DMPs) machine-actionable.

To achieve this vision we will develop a common data model with a core set of elements. Its modular design will allow customisations and extensions using existing standards and vocabularies to follow best practices developed in various research communities. We will provide reference implementations of the data model using popular formats, such as JSON, XML, RDF, etc.  This will enable tools and systems involved in processing research data to read and write information to/from DMPs.

 

The outputs of this working group will help in making systems interoperable and will allow for automatic exchange, integration, and validation of information provided in DMPs, for example, by checking whether a provided PID links to an existing dataset, if hashes of files match to their provenance traces, or whether a license was specified. The common information models are NOT intended to be prescriptive templates or questionnaires, but to provide re-usable ways of representing machine-actionable information on themes covered by DMPs

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WG

International Materials Resource Registries WG

Status: 
Recognised & Endorsed
Chair (s): 
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
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

On-Farm Data Sharing (OFDS) WG

Status: 
Recognised & Endorsed
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: 
Recognised & Endorsed
Chair (s): 
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

Status: 
In Group Revisions
Chair (s): 
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Sarah Ramdeen

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

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

Status: 
Recognised & Endorsed
Secretariat Liaison: 
Stefanie Kethers
TAB Liaison: 
Sarah Ramdeen

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

Research Data Repository Interoperability WG

Status: 
Recognised & Endorsed
Chair (s): 
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

Storage Service Definitions WG

Status: 
Pending submission
Chair (s): 
Secretariat Liaison: 
Laura Baracchi
TAB Liaison: 
Rainer Stotzka

This working group is involved in creating well-defined terms that describe storage services, especially in the areas of Quality of Service and Data Life-cycle. These terms should describe what the users (the scientists) can expect from the storage service, allowing them to compare different storage options and choose where to store their data with some confidence at how the storage service will behave.

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WG

WDS/RDA Assessment of Data Fitness for Use WG

Status: 
Recognised & Endorsed
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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IG

Archives and Records Professionals for Research Data IG

Status: 
Recognised & Endorsed
Secretariat Liaison: 
Timea Biro
TAB Liaison: 
Steve Diggs

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

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

Chemistry Research Data IG

Status: 
Recognised & Endorsed
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

Domain Repositories Interest Group

Status: 
Recognised & Endorsed
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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