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agINFRA Devika Madalli Indian Statistical Institute

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Devika Madali of ISI shares experience working with agINFRA and RDA in building standards with respect to different aspects of open knowledge repositories.

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Page 1: agINFRA

agINFRA

Devika MadalliIndian Statistical Institute

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agINFRA: FP7 project EC 7th framework program INFRA-2011-1.2.2 - Grant agr. no: 283770

• Objective: Promoting data sharing and development of trust in agricultural sciences

agINFRA - Background

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1. University of Alcala (UAH), Spain 2. Food & Agriculture Organization (FAO) of the United Nations, Italy

3. National Institute of Nuclear Physics (INFN), Italy

4. Salzburg Research (SR), Austria 5. IPB - Institute of Physics, Belgrade, Serbia

6. Computer and Automation Research Institute, Hungarian Academy of Sciences (MTA SZTAKI),

Hungary

7. Agro-Know Technologies, Greece 8. 21 Consultancy (21c), UK 9. Escuela Superior Politécnica del Litoral (ESPOL), Ecuador

10. Chinese Academy of Agriculture, China

11. The Open University,UK

12. Indian Statistical Institute (ISI), India

agINFRA consortium

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Types of data covered by agINFRA:• Bibliographic• Educational• Germplasm• Soil

Data sets

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Interoperability 1

They are often both called vocabularies

Metadata elements to describe individual “things” (entities, data, series…)

metadata sets, metadata element sets, vocabularies

Sets of values for (some of) the metadata elements

KO controlled vocabularies, authority data, value vocabularies, Knowledge Organization Systems (KOSs)

Sets

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Various flavors of vocabularies

TitleAuthor(s)AbstractSubject(s)Publication datePublication placeType of documentother features…

Entity to be describedType?Bibliographic

resource

for describing bibliographic resources

Metadata vocabulary

Authority data

KOS

“Value vocabularies”

Data of type Person

Authority dataData of type Geographic location

“Des

crip

tio

n v

oca

bu

lari

es”

Controlled list

Concepts suitable for organizing by Topic

Concepts suitable for organizing by Type

for describing people

Metadata vocabularyfor describing

geographic places

Ontology

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INDUS

Harvesting Asian Agricultural Digital Repositories

48 Asian Countries26 Countries have repositories (openDOAR)Around one third of them have exclusive Agricultural

repositoriesAlso included in Indus: OAI-based Agriculture related

Journals

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Indus

Indus covers both repositories and OAI based Journals. Presently covers, About 10 countries metadata is harvested 57 Journals on Agriculture 8 Digital Repositories About 31k records (will be more than 50k)

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ChallengesSome repositories are not made OAI-PMH compliantPersistent IDs (Handles) are not done properly by

some DSpace based repositoriesMulti-lingual (ex: Japan)How to filter Agricultural resources in generic

repositoriesScreen scratching in case of non-OAI-compliant

journals/repositories

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Research Data Alliance

The Research Data Alliance (RDA) builds the social and technical bridges that enable open sharing of data.

The RDA vision is researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society.

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RDA principlesOpenness – Membership is open to all interested individuals who subscribe to the RDA’s Guiding Principles. RDA community meetings and processes are open, and the deliverables of RDA Working Groups will be publicly disseminated.

Consensus – The RDA moves forward by achieving consensus among its membership. RDA processes and procedures include appropriate mechanisms to resolve conflicts.

Balance – The RDA seeks to promote balanced representation of its membership and stakeholder communities.

Harmonization – The RDA works to achieve harmonization across data standards, policies, technologies, infrastructure, and communities.

Community-driven – The RDA is a public, community-driven body constituted of volunteer members and organizations, supported by the RDA Secretariat.

Non-profit - RDA does not promote, endorse, or sell commercial products, technologies, or services.

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Working groups and Interest Groups

The Research Data Alliance enables data to be shared across barriers through focused Working Groups and Interest Groups, formed of experts from around the world – from academia, industry and government.

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IGAD: Interest Group on Agriculture Data @RDA

Chairs:

Johannes Keizer, UNFAO

Devika Madalli, ISI

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IGAD

The Agricultural Data Interest Group (IGAD) is a domain oriented interest group to work on all issues related to data important for the development of global agriculture. The interest group aims to represent all stakeholders producing, managing, aggregating, sharing and consuming data for agricultural research and innovation.

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Till Plenary 4

IGAD: Inaugurated at RDA1 at Gothenburg, Sweden

Meetings at:Washington DC, USA

Dublin, Ireland

Amsterdam, Netherlands

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Working Group

• IGAD proposed and supports the Wheat Data Interoperability Working Group that aims to provide a common framework for describing, representing linking and publishing wheat data with respect to open standards. Such a framework will promote and sustain wheat data sharing, reusability and operability.

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Wheat Data Interoperability

Based on the needs of the Wheat Initiative Information System (WheatIS) in terms of functionalities and data types, the Agricultural Research Interest Group and the working group aims to identify relevant use cases in order to produce a "cookbook" on how to produce "wheat data" that are easily shareable, reusable and interoperable.

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Thank you!