RDA in a Nutshell - August 2020

August 2020
The Research Data Alliance
in a nutshell

2
Vision
Researchers and innovators openly
share and re-use data across
technologies, disciplines, and
countries to address the grand
challenges of society.
Mission
RDA builds the social and technical
bridges that enable open sharing
and re-use of data.
THE RESEARCH DATA ALLIANCE
www.rd-alliance.org
building the social and technical bridges that enable open
sharing and re-use of data
50 FLAGSHIP OUTPUTS
including 8 ICT Technical
Specifications
100+ ADOPTION CASES
across multiple disciplines,
organisations & countries
94 GROUPS WORKING ON GLOBAL DATA
INTEROPERABILITY CHALLENGES
37 Working Groups
57 Interest Groups
10,997 INDIVIDUAL MEMBERS FROM 145
COUNTRIES
69% Academia & Research
14% Public Administration
11% Enterprise & Industry
52 ORGANISATIONAL MEMBERS
11 AFFILIATE MEMBERS
01/09/2020 rd-alliance.org @resdatall | @rda_europe | @RDA_US

What is RDA?
01/09/2020 3
RDA is an international member-based organization focused on the development of
infrastructure and community activities that reduce barriers to data sharing and exchange,
and the acceleration of data-driven innovation worldwide.
With more than 10K members globally representing 145 countries, RDA includes
researchers, scientists and data science professionals working in multiple disciplines,
domains and thematic fields and from different types of organisations across the globe.
RDA is building the social and technical bridges that enable open sharing of data to achieve its vision of
researchers and innovators openly sharing data across technologies, disciplines, and countries to address the
grand challenges of society.
rd-alliance.org @resdatall | @rda_europe | @RDA_US

What does RDA do?
Reproducibility
Data preservation
Best practices for domain repositories
Legal interoperability
Data citation
Data type registries
Metadata
and so many more!
01/09/2020 4
Members come together through self-formed, volunteer and focused Working Groups and
exploratory Interest Groups to exchange knowledge, share discoveries, discuss barriers and
potential solutions, explore and define policies and test as well as harmonise standards to enhance
and facilitate global data sharing & re-use.
RDA members collaborate together across the globe to tackle numerous infrastructure & data
sharing challenges related to:

Who Can Join RDA?
Any individual or organisation, regardless of profession or discipline,
with an interest in reducing the barriers to the sharing and re-use of
data and who agrees to RDA’s guiding principles of:
Openness
Consensus
Balance
Harmonization
Community-driven
Non-profit and technology-neutral
Individual Membership is free at https://www.rd-alliance.org/user/register
01/09/2020 5rd-alliance.org @resdatall | @rda_europe | @RDA_US

Why Join RDA as an Individual Member?
01/09/2020 6
Individual Member Benefits
 Contribute to acceleration of data infrastructure development
 Work and share experiences with collaborators throughout the world
 Access to extraordinary network of colleagues with various levels of
experience, perspectives and practices
 Gain greater expertise in data science regardless of whether one is a
student, early or seasoned career professional
 Enhance the quality and effectiveness of personal work and activities
 Improve one’s competitive advantage professionally and positioning
oneself for leadership within the broader research community
Individual RDA Members 10,997

Who is RDA – Worldwide Growth

Who is RDA – Organisation type

Who is RDA – Professional Title

Who is RDA – Geographical Distribution
10,997 RDA members from 145 different countries

Why Join RDA as an Organisational Member?
01/09/2020 11
Organisational Member Benefits
◦ Provide an organisational perspective on the work of RDA and ability to influence RDA’s direction
◦ Assist in implementation & adoption of RDA Recommendations & Outputs
◦ Participate in all RDA Organisational Forums
◦ Receive regular updates on the work of the RDA
◦ Attend Organisational Assembly meetings and vote on proposed policies for consideration by the RDA
Council and for members of the Organisational Advisory Board
◦ Provide advice to RDA Council through the Organisational Advisory Board
◦ Be recognized on the RDA Website and at RDA Meetings as a supporter of data interoperability
◦ Communicate open job positions in your organisation to entire RDA community (Exclusive to
Organisational Members)
◦ Reduced RDA Plenary meeting registration fee (Exclusive to Organisational Members)
52 Organisational & 11 Affiliate Members
Join as an Organisational Member! →

RDA Organisational Members
AARNet Pty Ltd (APL), Australia
American Geophysical Union (AGU), USA
American University Library, USA
Australian Research Data Commons (ARDC), Australia
Battelle - National Ecological Observatory Network
(NEON), USA
Blackfynn Inc., USA
California Institute of Technology, USA
CANARIE, Canada
CAP Digital, France
Carnegie Mellon University, USA
Consortium of European Social Science Data Archives
(CESSDA)
Columbia University Libraries/Information Services, USA
Corporation for National Research Initiatives (CNRI)
Danish e-Infrastructure Cooperation
DANS, Data Archiving and Networked Services, The
Netherlands
Data Observation Network for Earth - DataONE
Digital Curation Centre (DCC), UK
Digital Repository of Ireland (DRI), Ireland
Earth Science Information Partners (ESIP)
EGI Foundation
ELSEVIER, The Netherlands
European Parliamentary Research Service (EPRS)
European Data Infrastructure (EUDAT project)
German Data Forum, Germany
Global Biosocial Complexity Initiative, Arizona State
University, USA
Helmholtz Association, Germany
IASSIST - International Association for Social Science
Information Services
and Technology
Indiana University Pervasive Technology Institute, USA
Information Technology Research Insititute (ITRI)- National
Institute of
Advanced Industrial Science and Technology (AIST), Japan
Integrated Digitized Biocollections (iDigBio)
Interdisciplinary Centre for Mathematical and
Computational Modelling (ICM), University of Warsaw,
Poland
International Association of STM Publishers
International Federation of Data Organizations for Social
Sciences
KAUST - King Abdullah University of Science and
Technology, Saudia Arabia
LIBER - Association of European Research Libraries
Max Planck Computing and Data Facility (MPCDF),
Germany
Massachusetts Institute of Technology Libraries (MIT
Libraries), USA
National Center for Supercomputing Applications,
University of Illinois at Urbana-Champaign, USA
National Library of Ireland, Ireland
Netherlands e-Science Center
NSD - Norwegian Centre for Research Data
NZ eScience Infrastructure, New Zealand
Purdue University Libraries, USA
Research Data Canada, Canada
Scholarly Publishing and Academic Resources Coalition
(SPARC), USA
Science & Technology Facilities Council (STFC), UK
The Alan Turing institute, UK
TMF – Technology, Methods, and Infrastructure for
Networked Medical Research, Germany
University of Strasbourg, France
Washington University in St. Louis Libraries, USA
Web Science Trust, UK
John Wiley & Sons Ltd., UK
52 RDA Organisational
Members
RDA Organisational Member details https://www.rd-alliance.org/get-involved/organisational-membership/rda-organisational-affiliate-members

RDA Affiliate Members
The Consortia Advancing Standards in
Research Administration Information -
CASRAI
Confederation of Open Access
Repositories (COAR)
Committee on Data for Science and
Technology (CODATA)
DataCite
GIDA - The Global Indigenous Data
Alliance
Group on Earth Observations (GEO)
Global Open Data for Agriculture &
Nutrition (GODAN)
International Council for Scientific and
Technical Information (ICSTI)
Connecting Research and Researchers
(ORCID)
Research Software Alliance (ReSA)
World Data System (WDS)
11 RDA Affiliate
Members
RDA Affiliate Member details - https://www.rd-alliance.org/get-involved/organisational-membership/rda-organisational-affiliate-members

RDA active Interest Groups (IG) & Working Groups (WG):
Discipline-focused and Partnerships
01/09/2020 14
Discipline focus
Working Groups
 Agrisemantics WG
 Capacity Development for Agriculture Data WG
 Rice Data Interoperability WG
 Reproducible Health Data Services WG
 Preserving Scientific Annotation WG
 Blockchain Applications in Health WG
 InteroperAble Descriptions of Observable Property Terminology WG (I-ADOPT WG)
 RDA-COVID19-Legal-Ethical
 RDA-COVID19-Software
 RDA-COVID19-Clinical WG
 RDA-COVID19-Community-participation WG
 RDA-COVID19-Epidemiology WG
 RDA-COVID19-Omics WG
 RDA-COVID19-Social-Sciences WG
 RDA-COVID19 WG
 Raising FAIRness in health data and health research performing organisations (HRPOs) WG
 Empirical Humanities Metadata Working Group
 Epidemiology WG
Interest Groups
 Agricultural Data IG (IGAD)
 Biodiversity Data Integration IG
 Chemistry Research Data IG
 Digital Practices in History and Ethnography IG
 ESIP/RDA Earth, Space, and Environmental Sciences IG
 Geospatial IG
 Global Water Information IG
 Health Data IG
 Linguistics Data IG
 RDA/CODATA Materials Data, Infrastructure & Interoperability IG
 Research data needs of the Photon and Neutron Science community IG
 Small Unmanned Aircraft Systems’ Data IG
 Social Sciences Research Data IG
 Research Data Management in Engineering IG
 RDA for the Sustainable Development Goals IG
Total 94 groups:
37 Working Groups & 57 Interest Groups
Partnerships
Working Groups
 RDA/TDWG Metadata Standards for attribution of physical and digital collections stewardship
WG
 RDA/World Data System (WDS) Scholarly Link Exchange WG
Interest Groups
 ELIXIR Bridging Force IG
 RDA/National Information Standards Organization (NISO) Privacy Implications of Research
Data Sets IG

01/09/2020 15
Total 94 groups:
Reference and Sharing
Working Groups
 International Materials Resource Registries WG
 Research Data Collections WG
 Research Data Repository Interoperability WG
 Data Usage Metrics WG
Interest Groups
 Data Discovery Paradigms IG
 National Data Services IG
 RDA/CODATA Legal Interoperability IG
 Sharing Rewards and Credit (SHARC) IG
Community Needs
Working Groups
Interest Groups
 CODATA/RDA Research Data Science Schools for Low and Middle Income Countries
 Archives & Records Professionals for Research Data IG Data for Development IG
 Early Career and Engagement IG
 Education and Training on handling of research data IG
 Ethics and Social Aspects of Data IG
 International Indigenous Data Sovereignty IG
 Surveying Open Data Practices IG
 Data for Development IG
 Research Funders & Stakeholders on Open Research and Data Management Policies and
Practices IG
 Global Open Research Commons IG
Focus on Reference/Sharing and Community Needs

01/09/2020 16
Base Infrastructure
Working Groups
 Data Type Registries WG
 PID Kernel Information WG
 Research Metadata Schemas WG
 FAIR 4 Research Software (FAIR4RS) WG
 RDA/FORCE11 Software Source Code Identification WG
 Persistent Identification of Instruments WG
Interest Groups
 Data Fabric IG
 Data Foundations and Terminology IG
 Disciplinary Interoperability Framework IG
 Big Data IG
 Metadata IG
 PID IG
 Software Source Code IG
 Vocabulary Services IG
 Federated Identity Management IG
 Data Economics IG
 Social Dynamics of Data Interoperability IG
Data Stewardship and Services
Working Groups
 Brokering Framework WG
 World Data System (WDS)/RDA Assessment of Data Fitness for Use WG
 Data Versioning WG
 FAIR Data Maturity Model WG
 DMP Common Standards WG
 Exposing Data Management Plans WG
 CURE-FAIR WG
Interest Groups
 Active Data Management Plans IG
 Data in Context IG
 Domain Repositories IG
 Virtual Research Environments IG
 Libraries for Research Data IG
 Physical Samples and Collections in the Research Data Ecosystem IG
 Preservation Tools, Techniques, and Policies IG
 RDA/World Data System (WDS) Certification of Digital Repositories IG
 Repository Platforms for Research Data IG
 Research Data Architectures in Research Institutions IG
 Data policy standardisation and implementation IG
 GO FAIR IG
 Open Science Graphs IG
 Engaging Researchers with Data IG
 Professionalising Data Stewardship IG
Total 94 groups:
Focus on Data Stewardship and Infrastructures

Retired Working and Interest Groups
(Groups that have completed their work within RDA)
01/09/2020 17
Historical Groups
 Brokering Governance WG
 Metadata Standards Directory WG
 PID Information Types WG
 Practical Policy WG
 RDA/World Data System (WDS) Publishing Data Bibliometrics WG
 RDA/World Data System (WDS) Publishing Data Services WG
 Repository Audit and Certification DSA–WDS Partnership WG
 Data Foundations and Terminology WG
 Provenance Patterns WG
 Empirical Humanities Metadata WG
 On-Farm Data Sharing (OFDS) WG
 Persistent Identification of Instruments WG
 RDA/World Data System (WDS) Publishing Data Cost Recovery for Data Centres
WG
 Mapping the Landscape IG
 Preservation e-Infrastructure IG
 Quality of Urban Life IG
 Development of Cloud Computing Capacity and Education in Developing
World Research IG
 Weather, Climate and Air quality IG
 Structural Biology IG
 RDA/World Data System (WDS) Publishing Data Cost Recovery for Data Centres
IG
 Marine Data Harmonization IG
 RDA/World Data System (WDS) Publishing Data IG
 Brokering IG
 Research Data Provenance IG
 Long tail of research data IG
 Data Rescue IG
 Reproducibility IG

RDA Recommendations that Make Data Work
01/09/2020 18
 Adopted code, policy, specifications, standards, or
practices that enable data sharing
 “Harvestable” efforts for which 12-18 months of
work can eliminate a roadblock
 Efforts that have substantive applicability to groups
within the data community but may not apply to all
 Efforts that can start today
“Create - Adopt - Use”
50 flagship Recommendations & Outputs
More than 100 cases of Adoption in Different Domains,
Organisations and Countries

RDA Recommendations & Outputs
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CATEGORIES OF RECOMMENDATIONS & OUTPUTS
Recommendations: RDA’s flagship outputs and the equivalent of “specifications” or
“standards” that other organisations create and endorse.
Supporting Outputs: RDA outputs that originate from the work of RDA groups, but not
always adoptable by other organisations. “Upon request” by RDA groups, these outputs
are reviewed by the RDA member community and if no major objections or gaps are
identified, they are approved to use the RDA Brand.
Other Outputs: These are workshop reports, published articles, survey results, etc.
produced by RDA groups. Upon request by the groups, these outputs are posted on the
RDA website but have no level of endorsement.
26 RDA Recommendations - of which 8 ICT Technical Specifications -
& 24 Supporting Outputs currently in the RDA Catalogue:
https://www.rd-alliance.org/recommendations-and-outputs/catalogue

Data Type Model and Registry - Data Type Registries (DTR) WG Recommendations
Published by the Data Type Registries WG providing machine-readable and researcher-accessible
registries of data types that support the accurate use of data  ICT Tech specification
Machine Actionable Policy Templates - Practical Policy WG Recommendations
Defining best practices of how to deal with data automatically and in a documented way with computer
actionable policy  ICT Tech specification
PID Information Types (PIT) WG Recommendations
Persistent Identifier Type Registry produced by the PID Information Types WG, a conceptual model for
structuring typed information to better identify PIDs, common interface for access to this information.
 ICT Tech specification
ENDORSED RECOMMENDATIONS

RDA Research Data Collections WG Recommendations: A comprehensive model for actionable
collections and a technical interface specification to enable client-server interaction.
Recommendation on PID Kernel Information: A set of guiding principles, architectural considerations,
use cases and a fundamental metadata schema to manage information in Persistent Identifier records for
scalable middleware infrastructure and automated processes.
Research Data Repository Interoperability WG Final Recommendations: Provides recommendations
with respect to an interoperable packaging and exchange format for digital content
The FAIRsharing Registry and Recommendations: Interlinking Standards, Databases and Data
Policies: Guide for citation and its implementation in a registry of standards, databases and data policies

The final version of the RDA COVID-19 Recommendations and Guidelines for Data Sharing,
published 30 June 2020
The Research Data Alliance (RDA) COVID-19 Working Group members bring various, global expertise to
develop a body of work that comprises how data from multiple disciplines inform response to a pandemic
combined with guidelines and recommendations on data sharing under the present COVID-19
cicumstances.

RDA ENDORSEMENT IN PROCESS
RDA DMP Common Standard for Machine-actionable Data Management Plans: Allows representing
Data Management Plans in a machine-actionable way, to enable exchange of information between systems
acting on behalf of stakeholders involved in the research life cycle, such as, researchers, funders, repository
managers, ICT operators, data stewards, etc
FAIR Data Maturity Model: specification and guidelines: This document describes a maturity model for FAIR
assessment with assessment indicators, priorities and evaluation methods. This is useful for the normalisation of
assessment approaches to enable comparison of their results.
Recommendations and Capacity Development Resource Kit: These documents include an overview about
available and free training resources in the area of agricultural data management. A detailed description is provided for
resources that are related to RDA. Other free resources that are available online are listed as well.

SUPPORTING OUTPUTS
Matrix of use cases and functional requirements for research data repository platforms:
Based on use cases, matrix describes forty-four functional requirements identified for research data
repository platforms and provides a score identifying relative importance.
Persistent identifiers: Consolidated assertions:
Set of assertions about the nature, creation and usage of Persistent Identifiers (PIDs). It is not meant to
produce another comprehensive document on PIDs, but to identify agreements across documents that
have been suggested to be included by experts.

SUPPORTING OUTPUTS
Results of an Analysis of Existing FAIR Assessment Tools:
First result of the FAIR Data Maturity Model WG, based on the analysis of existing approaches related to
FAIR self-assessment tools. Questions and options stemming from theses different approaches were
classified according to the FAIR principles/facets.
Summary of Virtual Layer Recommendations:
Provides a high-level conceptual framework to support Digital Object management and service
development.
Engaging Researchers with Data Management: The Cookbook: Provides examples of 24
innovative, searchable and re-usable case studies on how institutions can effectively engage with
researchers about research data.

23 Things: Libraries for Research Data: An overview of practical, free, online resources and tools
that users can immediately take advantage of to incorporate research data management into the
practice of librarianship.
Addressing the Gaps: Recommendations for Supporting the Long Tail of Research Data: Seven
recommendations applicable to various stakeholders - including governments, funders, research
institutions and researchers - to help improve the current approach to managing long tail data.
Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories:
Output helps data repositories improve search and discovery of data.
SUPPORTING OUTPUTS

Tromsø recommendations for citation of research data in linguistics: For the use of researchers and
scholars in the field working with datasets, we propose components of data citation for referencing language data,
both in the bibliography and in the text of linguistics publications.
Compilation of Data Versioning Use cases from the RDA Data Versioning Working Group: Data versioning
is a fundamental element to ensuring the reproducibility of research. Work in other RDA groups on data provenance
and data citation, as well as the W3C Dataset Exchange Working Group, have highlighted that definitions of data
versioning concepts and recommended practices are still missing.
RDA-COVID19 WG Zotero Library: The RDA-COVID19 WG Zotero Library was created by the RDA-COVID19 WG
to support development of the RDA-COVID19 Recommendations and Guidelines.
SUPPORTING OUTPUTS

Data Sharing in Epidemiology: There is a pressing need for a coordinated global system encompassing
preparedness, early detection, and rapid response to newly emergent threats such as SARS-CoV-2 virus and the
COVID- 19 disease that it causes.
The intended audience for the epidemiology recommendations and guidelines are government and international
agencies, policy and decision makers, epidemiologists and public health experts, disaster preparedness and
response experts, funders, data providers, teachers, researchers, clinicians, and other potential users.
Principles and best practices in data versioning for all data sets big and small: The demand for better
reproducibility of research results is growing. More and more data is becoming available online. In some cases, the
datasets have become so large that downloading the data is no longer feasible.
Persistent Identification of Instruments: two tested approaches for persistent identification of
instruments.
SUPPORTING OUTPUTS

SUPPORTING OUTPUTS
Based on use cases, matrix describes forty-four functional requirements identified for research data repository platforms and
provides a score identifying relative importance.
Data Sharing in Epidemiology: There is a pressing need for a coordinated global system encompassing preparedness,
early detection, and rapid response to newly emergent threats such as SARS-CoV-2 virus and the COVID- 19 disease that it
causes.
The intended audience for the epidemiology recommendations and guidelines are government and international agencies,
policy and decision makers, epidemiologists and public health experts, disaster preparedness and response experts, funders,
data providers, teachers, researchers, clinicians, and other potential users.
RDA-COVID19 WG Zotero Library: The RDA-COVID19 WG Zotero Library was created by the RDA-COVID19 WG to
support development of the RDA-COVID19 Recommendations and Guidelines.

The FAIRsharing Registry and Recommendations: Interlinking Standards, Databases and Data Policies: In this data-driven
age, governments, funders and publishers expect greater transparency and reuse of research data, as well as greater access to and
preservation of the data that supports research findings. This requires greater researcher responsibility for the produced data,
which should result in greater confidence in, and the reuse of, existing data.
The final version of the RDA COVID-19 Recommendations and Guidelines for Data Sharing, published 30 June 2020: The
Research Data Alliance (RDA) COVID-19 Working Group members bring various, global expertise to develop a body of work
that comprises how data from multiple disciplines inform response to a pandemic combined with guidelines and recommendations
on data sharing under the present COVID-19 cicumstances.

RDA ENDORSED IN PROCESS

Repository Audit and Certification DSA–WDS Partnership WG Recommendations:
Creates harmonized Common Procedures for certification of repositories at the basic level, drawing from the
procedures already put in place by the Data Seal of Approval (DSA) and the ICSU World Data System (ICSU-WDS) 
ICT Technical Specification
Research Data Repository Interoperability WG Final Recommendations: Provides
recommendations ith respect to an interoperable packaging and exchange format for digital content
Wheat Data Interoperability Recommendations: impacting the discoverability, reusability and interoperability
of wheat data by building a common framework for describing, representing linking and publishing wheat data

Basic Vocabulary of Foundational Terminology Query Tool: - Data Foundation and Terminology (DFT) WG
Recommendations: produced by the Data Foundation & Terminology WG which ensures researchers use a
common terminology when referring to data. ICT Technical Specification
Data Description Registry Interoperability Model: Interoperability model addressing the problem of cross
platform discovery by connecting datasets together  ICT Technical Specification
The final version of the RDA COVID-19 Recommendations and Guidelines for Data Sharing, published
30 June 2020: The Research Data Alliance (RDA) COVID-19 Working Group members bring various, global
expertise to develop a body of work that comprises how data from multiple disciplines inform response to a
pandemic combined with guidelines and recommendations on data sharing under the present COVID-19
cicumstances.

RDA/TDWG Attribution Metadata Working Group: Final Recommendations: Supports standardized
metadata for attributing work and tracking provenance in the curation and maintenance of research collections.
The FAIRsharing Registry and Recommendations: Interlinking Standards, Databases and Data Policies:
In this data-driven age, governments, funders and publishers expect greater transparency and reuse of research
data, as well as greater access to and preservation of the data that supports research findings. This requires greater
researcher responsibility for the produced data, which should result in greater confidence in, and the reuse of,
existing data.

Metadata Standards Directory Working Group Recommendations: Community curated standards catalogue
for metadata interoperability
ENDORSEMENT IN PROCESS

Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories: This
output helps data repositories improve search and discovery of data.
Eleven Quick Tips for Finding Research Data: Educates and trains research students and early career
researchers, and helps researchers more effectively and precisely discover data that meets specific needs.
Matrix of use cases and functional requirements for research data repository platforms: Based on use
cases, matrix describes forty-four functional requirements identified for research data repository platforms and
provides a score identifying relative importance
Research Data Repository Interoperability Primer: of use cases and an overview of standards, technologies
and tools that could be components of an adoptable approach to facilitating interoperability between different
research data repository platforms.
SUPPORTING OUTPUTS

Compilation of Data Versioning Use cases from the RDA Data Versioning Working Group: Data versioning is
a fundamental element to ensuring the reproducibility of research. Work in other RDA groups on data provenance and data
citation, as well as the W3C Dataset Exchange Working Group, have highlighted that definitions of data versioning concepts and
recommended practices are still missing.
Data Sharing in Epidemiology: There is a pressing need for a coordinated global system encompassing preparedness, early
detection, and rapid response to newly emergent threats such as SARS-CoV-2 virus and the COVID- 19 disease that it causes.
The intended audience for the epidemiology recommendations and guidelines are government and international agencies, policy
and decision makers, epidemiologists and public health experts, disaster preparedness and response experts, funders, data
providers, teachers, researchers, clinicians, and other potential users.
RDA-COVID19 WG Zotero Library: The RDA-COVID19 WG Zotero Library was created by the RDA-COVID19 WG to support
development of the RDA-COVID19 Recommendations and Guidelines.
SUPPORTING OUTPUTS

datasets have become so large that downloading the data is no longer feasible. Data can also be offered through
web services and accessed on demand. This means that parts of the data are accessed at a remote source when
needed. In this scenario, 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.
Tromsø recommendations for citation of research data in linguistics: For the use of researchers and scholars in the
field working with datasets, we propose components of data citation for referencing language data, both in the
bibliography and in the text of linguistics publications.
Persistent Identification of Instruments: two tested approaches for persistent identification of instruments.
SUPPORTING OUTPUTS

Scalable Dynamic Data Citation Methodology: Supports efficient processing of data and linking from
publications ICT Technical Specification
Machine Actionable Policy Templates - Practical Policy WG Recommendations:
Defining best practices of how to deal with data automatically and in a documented way with computer actionable
policy  ICT Tech specification
The FAIRsharing Registry and Recommendations: Interlinking Standards, Databases and Data Policies: In
this data-driven age, governments, funders and publishers expect greater transparency and reuse of research data, as
well as greater access to and preservation of the data that supports research findings. This requires greater researcher
responsibility for the produced data, which should result in greater confidence in, and the reuse of, existing data.

Repository Audit and Certification DSA–WDS Partnership WG Recommendations: Creates
harmonized Common Procedures for certification of repositories at the basic level, drawing from the
procedures already put in place by the Data Seal of Approval (DSA) and the ICSU World Data System
(ICSU-WDS)  ICT Technical Specification
39 Hints to Facilitate the Use of Semantics for Data on Agriculture and Nutrition: This
document presents the recommendations of the RDA Agrisemantics Working Group (WG) to promote
the use of semantics for agricultural data for the purpose of enhancing data interoperability in
agriculture. These recommendations are high-level, to encourage researchers and practitioners to
extend them according to their area of expertise.

The final version of the RDA COVID-19 Recommendations and Guidelines
for Data Sharing, published 30 June 2020: The Research Data Alliance (RDA)
COVID-19 Working Group members bring various, global expertise to develop a body of
work that comprises how data from multiple disciplines inform response to a pandemic
combined with guidelines and recommendations on data sharing under the present
COVID-19 cicumstances.

SCID WG output: Use cases and identifier schemes for persistent software source code identification
(V1.0): This output, with inputs from a broad panel of stakeholders, provides an overview of the current state-of-
the-art practice in software identification, including use cases and identifier schemes from different academic
domains and in industry.

Federated Identity Management for Research Collaborations: Common requirements of Research
Communities seeking to leverage Identity Federation for Authentication and Authorisation.
Matrix of use cases and functional requirements for research data repository platforms: Based on use
cases, matrix describes forty-four functional requirements identified for research data repository platforms
and provides a score identifying relative importance.
Compilation of Data Versioning Use cases from the RDA Data Versioning Working Group: Data versioning is a
fundamental element to ensuring the reproducibility of research. Work in other RDA groups on data provenance and data citation, as well
as the W3C Dataset Exchange Working Group, have highlighted that definitions of data versioning concepts and recommended practices are
still missing.
SUPPORTING OUTPUTS

Data Sharing in Epidemiology: There is a pressing need for a coordinated global system encompassing
preparedness, early detection, and rapid response to newly emergent threats such as SARS-CoV-2 virus and the
COVID- 19 disease that it causes.
The intended audience for the epidemiology recommendations and guidelines are government and international
agencies, policy and decision makers, epidemiologists and public health experts, disaster preparedness and
response experts, funders, data providers, teachers, researchers, clinicians, and other potential users.
datasets have become so large that downloading the data is no longer feasible.
SUPPORTING OUTPUTS

RDA-COVID19 WG Zotero Library: The RDA-COVID19 WG Zotero Library was created by the RDA-COVID19 WG to support
development of the RDA-COVID19 Recommendations and Guidelines.
WDS/RDA Assessment of Data Fitness for Use WG Outputs and Recommendations: A practical process by
which CoreTrustSeal certified repositories can evaluate dataset holding for their fitness for use.
Use cases and identifier schemes for persistent software source code identification (V1.0): The goal of this
output of the working group is to survey different systems of identifiers for software, and their usage in different use cases, in an
harmonized way.
SUPPORTING OUTPUTS

An open, universal literature-data cross-linking service: - RDA/WDS Publishing Data Services WG
Recommendations: An open, universal literature-data cross-linking service to improve data visibility,
discoverability, re-use and reproducibility
Data Description Registry Interoperability Model: Interoperability model addressing the problem
of cross platform discovery by connecting datasets together. ICT Technical Specification
CODATA/RDA Summer School in Data Science and Cloud Computing in the Developing World
WG Recommendations: A framework to run a series of Summer Schools in Data Science and data
sharing in low and middle income countries (LMICs).

RDA/WDS Publishing Data Workflows WG Recommendations: A data-publishing reference model
assisting research communities in understanding options for data publishing workflows and increases awareness of
emerging standards and best practices. ICT Technical Specification
Repository Audit and Certification DSA–WDS Partnership WG Recommendations: Creates
harmonized Common Procedures for certification of repositories at the basic level, drawing from the procedures
already put in place by the Data Seal of Approval (DSA) and the ICSU World Data System (ICSU-WDS)  ICT Technical
Specification
Policies: Guide for citation and its implementation in a registry of standards, databases and data policies

The final version of the RDA COVID-19 Recommendations and Guidelines
for Data Sharing, published 30 June 2020: The Research Data Alliance (RDA)
COVID-19 Working Group members bring various, global expertise to develop a body of
work that comprises how data from multiple disciplines inform response to a pandemic
combined with guidelines and recommendations on data sharing under the present
COVID-19 cicumstances.

Scholix Metadata Schema for Exchange of Scholarly Communication Links: The goal of the Scholix initiative is to
establish a high level interoperability framework for exchanging information about the links between scholarly literature
and data. It aims to enable an open information ecosystem to understand systematically what data underpins literature
and what literature references data.
FAIR Data Maturity Model: specification and guidelines: This document describes a maturity model for FAIR
assessment with assessment indicators, priorities and evaluation methods. This is useful for the normalisation of assessment
approaches to enable comparison of their results.
Recommendations and Capacity Development Resource Kit: These documents include an overview about available
and free training resources in the area of agricultural data management. A detailed description is provided for resources that are
related to RDA. Other free resources that are available online are listed as well.

Sustainable Business Models for Brokering Middleware to support Research
Interoperability: Discusses the strengths and weakness of five classes of business models in the
context of long-term sustainment of brokering middleware

SUPPORTING OUTPUTS
A survey of current practices in data search services: Survey results based on an examination of
practices that data repositories employ in helping users search as well as common data discovery issues,
such as relevancy.
Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories:
Output helps data repositories improve search and discovery of data.
Tromsø recommendations for citation of research data in linguistics: For the use of
researchers and scholars in the field working with datasets, we propose components of data citation for
referencing language data, both in the bibliography and in the text of linguistics publications.

SUPPORTING OUTPUTS
Eleven Quick Tips for Finding Research Data: Educates and trains research students and early
career researchers, and helps researchers more effectively and precisely discover data that meets
specific needs.
Based on use cases, matrix describes forty-four functional requirements identified for research data
repository platforms and provides a score identifying relative importance.
Research Data Repository Interoperability Primer: Set of use cases and an overview of standards,
technologies and tools that could be components of an adoptable approach to facilitating
interoperability between different research data repository platforms.

SUPPORTING OUTPUTS
RDA-COVID19 WG Zotero Library: The RDA-COVID19 WG Zotero Library was created by the RDA-COVID19 WG to
support development of the RDA-COVID19 Recommendations and Guidelines.
causes.
policy and decision makers, epidemiologists and public health experts, disaster preparedness and response experts,
funders, data providers, teachers, researchers, clinicians, and other potential users.
reproducibility of research results is growing. More and more data is becoming available online. In some cases, the datasets
have become so large that downloading the data is no longer feasible.

A curriculum for foundational Research Data Science skills for Early Career Researchers: This
recommendation describes the curriculum and example materials to give Early Career Researchers (ECR’s) the
foundational skills in Data Science to work with their data
Policies: Guide for citation and its implementation in a registry of standards, databases and data
policies
Repository Audit and Certification DSA–WDS Partnership WG Recommendations: Creates harmonized
Common Procedures for certification of repositories at the basic level, drawing from the procedures already put in
place by the Data Seal of Approval (DSA) and the ICSU World Data System (ICSU-WDS)  ICT Technical Specification

The final version of the RDA COVID-19 Recommendations and Guidelines for Data Sharing, published 30 June
2020: The Research Data Alliance (RDA) COVID-19 Working Group members bring various, global expertise to
develop a body of work that comprises how data from multiple disciplines inform response to a pandemic combined
with guidelines and recommendations on data sharing under the present COVID-19 cicumstances.

Recommendations and Capacity Development Resource Kit: These documents include an
overview about available and free training resources in the area of agricultural data management. A detailed
description is provided for resources that are related to RDA. Other free resources that are available online are listed
as well.
RDA ENDORSEMENT IN PROCESS

Matrix of use cases and functional requirements for research data repository platforms: Based on
use cases, matrix describes forty-four functional requirements identified for research data repository
platforms and provides a score identifying relative importance.
Income Streams for Data Repositories:
The RDA/WDS Interest Group Publishing Data Cost Recovery for Data Centres aims to contribute to strategic
thinking on cost recovery by conducting research to understand current and possible cost recovery
strategies for data centres.
RDA-COVID19 WG Zotero Library: The RDA-COVID19 WG Zotero Library was created by the RDA-
COVID19 WG to support development of the RDA-COVID19 Recommendations and Guidelines.
SUPPORTING OUTPUTS

causes.
policy and decision makers, epidemiologists and public health experts, disaster preparedness and response experts,
funders, data providers, teachers, researchers, clinicians, and other potential users.
RDA & CODATA Legal Interoperability Of Research Data: Principles And Implementation Guidelines: The
possibility to discover, access, and use heterogeneous data seamlessly from different sources and across domains and
geographical boundaries is of crucial importance to accelerate progress in all research areas.
SUPPORTING OUTPUTS

ICT Technical Specifications
TS1 Data Foundation & Terminology Model
TS2 PID Information Types API- Persistent Identifier Type Registry
TS3 Data Type Registries Model
TS4 Practical Policies recommendations
TS5 RDA Data Citation of Evolving Data
TS6 RDA Data Description Registry Interoperability Model
TS7 RDA CoreTrustSeal Data Repository Requirements
TS8 RDA RDA/WDS Workflows for Research Data Publishing Model
RDA Technical Specifications https://www.rd-alliance.org/recommendations-outputs/standards

The University of Manchester Library
Adoption Story
Read the full story: https://www.rd-alliance.org/curating-research-institutional-scholarly-record-connecting-externally-deposited-datasets
“How do you curate your institutional scholarly record when researchers deposit
their data in external repositories, but they do not necessarily tell where they
have published it? One helpful approach we found for this was to use Open APIs,
that exist both for Scholix and for DataCite. To first identify the relevant datasets,
and then we harvest their metadata to populate our current research
information system (CRIS) ”
Chris Gibson – Research Services Librarian (Data) at the University of Manchester Library

Call for Supporting and Other RDA Outputs
01/09/2020 61
RDA Recommendations and Outputs take the form of technical specifications, code, policies or practices,
harmonized standards or reference models. In the widest sense these aim for:
 Greater data sharing, exchange, interoperability, usability and re-usability;
 Greater discoverability of research data sets;
 Better management, stewardship, and preservation of research data;
 New data standards or harmonization of existing standards.
Become one of the next RDA adopters!
If you are interested in any of the RDA’s recommendations or would like to
share your group's results with our international community, please fill the
contact form at https://www.rd-alliance.org/interest-rda-recommendations or
write to enquiries@rd-alliance.org. RDA Adoption & Implementation
Stories - Tell us yours!

What are Plenary Meetings?
01/09/2020 62
• organised around the world every 6 months;
• exciting & productive events bringing together a unique community of data
science professionals, from multiple disciplines and domains;
• help move the community forward in creating tangible deliverables that
improve data sharing across disciplines, technologies, and countries;
• heart of the plenaries are working meetings of RDA Working & Interest
groups and new potential groups through Birds of a Feather meetings
• presentation of new Outputs and Adoption cases.
See 14th Plenary Meeting Highlights video - https://www.youtube.com/watch?v=Xplae800pLM

Plenary Meetings: Benefits of Attending
01/09/2020 63
Exchange knowledge, share discoveries, discuss barriers and potential
solutions
Expand your network and meet new committed and passionate data
science professionals, working in multiple disciplines
Contribute to acceleration of data infrastructure development
Learn about new trends, strategies, research developments, directions and
policies

01/09/2020 64
RDA Virtual Plenary 15
Learn more → https://www.rd-alliance.org/plenaries/rda-15th-plenary-meeting-australia

RDA VP15 in numbers …
45 virtual sessions -> 34 unique
of which:
4 Joint meetings
13 Interest Group meetings
8 Working Group meetings
9 BoFs (Birds of a Feather)
01/09/2020 rd-alliance.org @resdatall | @hilaryhanahoe 65
2 Keynote addresses
170 registered
90 registered

and RDC
https://www.rd-alliance.org/plenaries/rda-16th-plenary-meeting-costa-rica
Programme publication - 26 September 2020, see details https://www.rd-
alliance.org/plenaries/rda-16th-plenary-meeting-costa-rica-virtual

https://www.rd-alliance.org/plenaries/rda-17th-plenary-meeting
https://www.rd-alliance.org/plenaries/rda-17th-plenary-meeting

https://www.rd-alliance.org/plenaries/rda-18th-plenary-meeting-part-
international-data-week-2021-8%E2%80%9311-november-2021-seoul-south

01/09/2020 69rd-alliance.org @resdatall | @rda_europe
SAVE THE DATE
International Data Week 2023
A Festival of Data
23–26 October 2023
Salzburg, Austria
Organised by Hosted by
https://www.rd-alliance.org/plenaries/international-data-week-2023-salzburg

01/09/2020 70
RDA in a Nutshell
August 2020
WWW.RD-ALLIANCE.ORG/
@RESDATALL
RDA Global
Email - enquiries@rd-alliance.org
Web - www.rd-alliance.org
Twitter - @resdatall
LinkedIn - www.linkedin.com/in/ResearchDataAlliance
Slideshare - http://www.slideshare.net/ResearchDataAlliance
RDA Europe
Email - info@europe.rd-alliance.org
Twitter - @RDA_Europe
RDA US
Twitter - @RDA_US

RDA in a Nutshell - August 2020

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