Historical Groups

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18 Nov 2015
HG

Storage Service Definitions WG

Status: 
Withdrawn
Secretariat Liaison: 
Lynn Yarmey
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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HG

Structural Biology IG

Status: 
Completed

Status: Recognised & Endorsed This Interest Group will focus on Structural Biology which is concerned with the determination of the three-dimensional (3D) structures of individual biomacromolecules (proteins and nucleic acids), and with those of complexes and higher order structures formed by association of these individual components.

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26 Feb 2020
HG

Synthetic (micro)biology, biosafety and biosecurity: policy compliance - ABS Regulation, CBD, The Nagoya & Kuala Lumpur, and Cartagena Protocols

Status: 
Withdrawn
Chair (s): 

 

    TOPICS:

1. Synthetic (micro)biology, biosafety and biosecurity

2. Biotechnology and bioeconomy: sustainable goals, circular economy, "zero pollution"

3. Microbial biotechnology: R&D

4. Microbial resources data management and research infrastructures

5. Public-private biotech sector linkages

6. Financial mechanisms

 

    POLICY:

1. The Convention on Biological Diversity

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15 Nov 2016
HG

WDS/RDA Assessment of Data Fitness for Use WG

Status: 
Completed
Secretariat Liaison: 
enquiries[at]rd-alliance.org

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.

The Group completed its outputs and recommendations in April 2019 and thus completed its work as a group towards the initial Case Statement.   The outputs of this Working Group are considered and included in the efforts of both the FAIR Data Maturity Model WG and the FAIRsFAIR Project.

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13 Jun 2016
HG

Weather, climate and air quality IG

Status: 
Completed
Secretariat Liaison: 
enquiries@rd-alliance.org

In a field where the amount and the data sources increase exponentially, it becomes critical to find efficient solutions at a community level to address problems such as storage, indexing, metadata, sharing, or analysis. The global objectives of this Interest Group will be to explore and discuss the challenges for management, efficient analysis and dissemination of large and diverse datasets generated by the weather, climate and air quality communities.

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