Intro
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intro. 3/181. our project. in agINFRA we will: share agricultural research… …over a data e-infrastructure. 7/181. consortium (1/2). 8/181. consortium (2/2). 9/181. overview. Content. Technical. Users. Dissemination. 10/181. agricultural research data. Primary data:

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Intro

intro

3/181


Intro

our project

in agINFRA we will:

share agricultural research…

…over a data e-infrastructure

7/181


Consortium 1 2

consortium(1/2)

8/181


Consortium 2 2

consortium(2/2)

9/181


Intro

overview

Content

Technical

Users

Dissemination

10/181


Agricultural research data

agricultural research data

  • Primary data:

    • Structured, e.g. datasets as tables

    • Digitized : images, videos, etc.

  • Secondary data (elaborations, e.g. a dendogram)

  • Provenance information, incl. authors, their organizations and projects

  • Methods and procedures followed

  • Reports, including papers

  • Secondary documents, e.g. training resources

  • Metadata about the above

  • Social data, tags, ratings, etc.

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Intro

2/181


Data infrastructure

data infrastructure

  • layered hardware and software systems

  • support sharing of wide spectrum of resources

    • networks, storage, computing resources

    • system-level middleware software

    • structured information within collections, archives, databases

  • principles of global collaboration and shared resources

    • encompass sharing needs of all research activities

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Data infra in ag research

data infra in ag research

  • aim is:

    promoting data sharing and consumption related to any research activity aimed at improving productivity and quality of crops

    ICT for computing, connectivity, storage, instrumentation

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Data infra in ag research1

data infra in ag research

  • aim is:

    promoting data sharing and consumption related to any research activity aimed at improving productivity and quality of crops

    ICT for computing, connectivity, storage, instrumentation

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Intro

agINFRA in a few words

  • based on a linked open data architecture harmonizing semantics and ontologies

  • aggregating data of existing systems, taking advantage of advanced cloud/grid services and infrastructure

  • devised for scalability and maximum interoperability by adapting existing widely used components

  • fostering diverse communities of heterogeneous providers and users

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Aginfra values

agINFRAvalues

We truly believe that scientific data

A | Open | Must be open and interlinked

NOT subject to barriers, based on standard formats and avoiding building data silos due to lack of interrelatedness and ad-hoc APIs.

B | Meaningful | Must be meaningful through explicit semantics

Reusing the semantics already provided in mature terminologies and ontologies that are exposed and interlinked through the Web.

C | Reliable | Must be reliable, traceable and accessible

Any kind of research objects can be stored in the data infrastructure, and there are NO barriers to expressing relations between these objects to capture the context of research activities.

D | Actionable | Must be actionable via services that empower research

Data is not useful without flexible and adaptable services that allow researchers to act on the data in the ways they need.

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Intro

architecture

  • Operational architecture

    • REST API layer

    • Module layer

    • Grid layer

  • Functional architecture

    • Dataset exposure layer

    • Data management layer

    • Data transformation layer

    • Data processing layer

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Intro

Web-based components and services

Event subscription API

RDF/SPARQL

Dataset API

Transform API

Service APIs

agINFRA data infrastructure

Dataset exposure layer

Data management layer

Data transformation layer

Data processing layer

Keyphrase extraction

Interlinking

Harvesting

De-duplication

Metadata validation

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Intro

agINFRA data services

  • Integrated services (WP6)

  • Components (WP4)

  • Infrastructure services (WP3)

  • agDataHarvest

  • agGridCrawl

  • agOCR-PP

  • agMetaExtract

  • agBBDataExtract

  • agKEA

  • agGridExtract

  • agDataTransform

  • agDocSeg

  • agDeDup

  • agGridStore

  • agGridQuery

  • ag2RDF

  • agSN&SO

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