RDA For Newcomers

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§  RDA Structure and Organization §  The working groups §  How to Participate

Overview

3 Digital Data has hit the “Tipping Point” as a Global Priority

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§  The Research Data Alliance (RDA) is a new organization §  Interoperability §  specific, short-term efforts §  Accelerate sharing §  Bottom up §  Inspired by IETF

§  Addresses the need to do something §  Data is an issue (also in the humanities) §  In 5-10 years it will be unmanageable §  Open new questions to research

RDA: Research Data Alliance

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§  Still establishing structure / definitions §  Major structure in place

§  Working groups §  Interest groups §  Support

§  Secretariat §  Council §  TAB §  Funders body

§  Two regular Plenary meetings per year. §  Regional bodies RDA/US, RDA/EUROPE

§  Support RDA activities locally

Steady state of RDA

6 Initial Group of Funders (iGoF)

§  The Research Data Alliance is being brought into existence by an initial three research funding organizations: §  The Australian Commonwealth Government (ANDS). §  The European Commission (RDA/EUROPE) §  National Science Foundation (US)

7 Organizational Framework

RDA Strategy: Council

Technical Advisory Board

(TAB)

Administrative: Secretariat

Organizational Advisory Group

(OAG)

RDAMem

bership

Community Impact: Working and Interest Groups

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§  Increase membership through the rd-alliance.org website and forums

§  Create a pipeline of impact-oriented deliverables through the development and backing of RDA Working Groups

§  Foster RDA Plenary events as a gathering place for the community

Developing the RDA Community

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§  Populate the initial Council, Technical Advisory Board, Organizational Advisory Board, Secretariat

§  Work with active community members to take on leadership roles and responsibilities

Populating RDA Bodies

Overview of current activities of RDA Working/Interest Groups

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§  Working Groups §  Interest Groups §  Current Groups §  Collaboration §  Nine Updates §  Upcoming Events

Overview

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§  Case Statement §  Concrete problem §  12-18 month timeline §  Requirements wrt coverage of stakeholders and

geography

Working Groups

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§  Charter §  Short statement

§  Loosely defined goal §  Not always the case, requirements less strict

§  May produce working groups §  Usually the case, with some exeptions §  E.g. Engagement

Interest Groups

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§  PID Information Types §  Data Type Registries §  Metadata Standards Directory §  Data Foundation and Terminology §  Practical Policy §  Data Categories and Codes

Current Groups: WGs: Recognised & Endorsed (6)

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§  Metadata Interest Group §  RDA-CODATA Working Group on Legal Interoperability of

Research Data §  The Engagement Group §  Certification of Digital Repositories §  Preservation e-Infrastructure Interest Group §  Agricultural Data Interoperability §  Structural Biology §  Digital Practices in History and Ethnography §  Toxicogenomics Interoperability §  Brokering Interest Group §  The Long Tail of Research Data §  Research Data Provenance Interest Group

Current Groups: IGs: Recognized & Endorsed (12)

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§  Community Capability Model §  Working Group on Data Citation: Making Data Citable §  Wheat Data Interoperability

Current Groups: WGs: Upcoming

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§  UPC Code for Data §  Publishing Data Interest Group

§  linked to the WDS Data Publication WG

§  Defining Urban Data Exchange for Science §  Marine Data Harmonization §  Data in Context §  Economic Models & Infrastructures for Federated

Materials Data Management §  Big Data Analytics

Current Groups: IGs: Upcoming

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§  Many more IGs than WGs §  WG paradigm is seen as restrictive §  WG paradigm is restrictive §  Does mean getting work done

§  Many exciting developments §  Overall groups are very active and productive

§  A handful are not doing so well

§  6 official WGs §  12 official IGs

Current Groups

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§  Bottom-up Collaboration §  Motivate §  Synchronize outcomes §  Provide active feedback

§  Several groups: §  Practical Policy §  Metadata (WG and IG) §  PID Inforation Types §  DFT §  Data Type Registries

§  Meeting every 4-6 weeks §  Group reports §  Small deliverables

§  Core data exchange

Collaboration

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§  Data Citation: Making Dynamic Data Citable WG §  Many meetings to get going. §  Currently revising Case Statement §  First prototype (for databases) presented at DATA2013

§  MASDIR - Metadata Standards Directory WG §  Currently revising the charter §  Developing Metadata IG §  Meetings at Plenary and CAMP-4-DATA

§  PID Information Types WG §  Gathering use-cases

§  Expectations and Issues §  Creating technical use case documents

§  Will present these at Plenary2 §  Started Architecture and API

Nine Updates

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§  Practical Policy WG §  Developing multiple testbeds

§  evaluation of common data management policies §  testing of interoperability mechanisms

§  First Policy: automated data set replication §  DataVerse, dCache, e-IRODS, IRODS

§  Agricultural Data Interoperability IG §  Re-evaluating charter at Plenary2 §  Spawning Wheat Interoperability WG

§  Engagement IG §  Provides a forum for discussion and implementation §  Session at ESIP meeting

Nine Updates

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§  Metadata IG §  Old MD IG is now MASDIR

§  concerned primarily with a directory of metadata 'standards’ §  Metadata IG is wide-ranging and long-standing §  acts as an umbrella

§  Structural Biology IG §  Initial results of enquiry show need §  Eukaryotic, complexes, problems combining software/data

§  Toxicogenomics Interoperability IG §  conducting a survey

§  community data needs and limitations §  identify an approach to improve toxicogenomics

§  data sharing, access and analysis

Nine Updates

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§  Datacite: Washington §  EUDAT Conference: Rome, 28-30/10

§  RDA Track §  SSH tackle the Big Data Challenge Workshop

§  RDA/E Science Workshop: Munich, February §  Plenary 3: Dublin

Upcoming Events

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§  Individual §  Become a member (register) §  Engage on the online forum §  Join WGs/IGs §  Start a WG or IG

§  Support RDA as a nation/region/Industry §  Encourage individual participation (travel grant, time grant, etc.) §  Become a funding member.

Participation

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Thank You

§  Information: rd-alliance.org

§  Questions, comments: enquiries@rd-alliance.org

§  Registration and Forum: on website

RDA For Newcomers

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§  Collects, Validates, Publishes capability profiles §  framework for describing and evaluating data-intensive

research across domains

Community Capability Model WG

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§  Citing subsets of data §  From Databases §  Many problems to address

§  Versioning §  Ordering §  Etc.

Data Citation WG

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§  Basic, Abstract data model §  Reference data terminology §  Synchronize between communities

§  I.e. people can use the same concepts. §  Better communication

Data Foundation and Terminology WG

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§  Create a Type Registry infrastructure §  Technical description of the data type §  Tools that can be used on the data §  Etc.

Data Type Registries WG

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§  Three goals: 1.  Prototype wiki listing metadata standards relevant to

scientific data 2.  consensus on a minimum metadata set supporting the

exchange and interoperability of scientific data resources

3.  Establish a resource of re-used terms and blocks of terms

Metadata Standards WG

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§  What kind of specific information types should be associated with a PID? §  Checksum §  Author §  Etc.

§  Structural elements (e.g. collections) §  Define a profile-system for PID information types §  Definition of a common API for PID systems

PID Information Types WG

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§  Collect Practical Policy in use in data centers. §  Organize these policies §  Find commonalities §  Produce “starter kits” of policy

Practical Policy WG

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§  Domain IG on agricultural data §  (All data related to achriculture)

§  Will work closely with CIARD §  Make sure data is not lost

Agricultural Data Interoperability IG

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§  Deals with different standards (NOSQL, multi-dimentional tables, graph databases)

§  What works and what doesn’t?

Big Data Analytics

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§  Contextual metadata §  Contextual information in the metadata §  Needs understanding to be useful

Data in Context IG

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§  Purpose to engage researchers in RDA matters

Engagement IG

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§  Together with CODATA §  4 case studies of legal interoperability

§  Geoscience §  Biodiversity §  Social sciences §  Humanities

§  Core principles and guidelines §  For making legal interoperability happen

§  Promote legal interoperability

Legal Interoperability

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§  Management of marine data §  A lot of (diverse) data

§  Population of species §  DTP §  Chemical analysis §  Satellite images §  Etc.

Marine Data Harmonization

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§  E-Infrastructure services §  Preserve §  Interoperability §  Service Providers

Preservation e-Infrastructure IG

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§  Certification is needed for trust §  Benefits §  Awareness §  Maintenance of certification §  With collaborators from ISO, DIN, DSA

Repository Audit and Certification

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§  Combining data on interesting biological molecules §  3D scans §  Need common data formats / exchange

Structural biology