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Metadata-powered dissemination of content Nikos Manouselis [email protected]
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Metadata-powered dissemination of content

Jan 27, 2015

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Presentation of cloud-based metadata aggregation infrastructures for agricultural data. Given at Alterra, University of Wageningen, The Netherlands.
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Page 1: Metadata-powered dissemination of content

Metadata-powered dissemination of content

Nikos [email protected]

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“meaningful services around high-quality

agricultural data pools”

http://wiki.agroknow.gr

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• publications, theses, reports, other grey literature• educational material and content, courseware• primary data, such as measurements & observations

– structured, e.g. datasets as tables– digitized, e.g. images, videos

• secondary data, such as processed elaborations– e.g. dendrograms, pie charts, models

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

• experimental protocols & methods• social data, tags, ratings, etc.• …

agricultural research(+) content

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• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

educators’ view

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• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

researchers’ view

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• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

practioners’ view

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• stats

• gene banks

• gis data

• blogs,

• journals

• open archives

• raw data

• technologies

• learning objects

• ………..

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is great…but its not the answer

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• 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

data infrastructure for agriculture

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Publisher

Date Catalog

SubjectID

AuthorTitle

we actually share metadata

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e.g. an educational resource

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…metadata reflect the context

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…sometimes, data also included

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metadata aggregations

• concerns viewing merged collections of metadata records from different sources

• useful: when access to specific supersets or subsets of networked collections– records actually stored at aggregator– or queries distributed at virtually aggregated

collections

15

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typically look like this

16 Ternier et al., 2010

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metadata aggregation tools

More than a harvester:

Validation Service Repository Software Registry Service Harvester

17

Powered by

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workflows with commonalities

Harvesting Validating Transforming

OAI target - XMLs

IndexingStoring

Automatic metadata generation

De - duplication service

XMLs

Triplification

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typical problem: computing

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typical problem: hosting

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to curate & preserve we need

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even when machinery exists there are problems

• hardware maintenance• technical support• interoperability limitations

– no APIs for the dissemination of data across systems

• hardware costs

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the cloud approach

Students

Researchers

Academics

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Storage and Processing Monitoring/Management/Allocation layer

Virtualization of Infrastructure Layer

Virtual Machines

Virtualization of Infrastructure LayerVirtualized Infrastractures Management LayerGUI tools and APIs

Cloud provider A Cloud provider B Cloud provider B

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what can be hosted on the cloud

• Data storage & management tools– APIs for content dissemination in large networks

• Processing & visualisation tools• Metadata aggregation infra• Search engines and apps for institutions or

communities

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what data providers need

… only a browser and internet connection

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CASE 1: DATA MANAGEMENT TOOL OVER THE CLOUD

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Educational Pathway Authoring Tool

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Educational Pathway Authoring Tool

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Cloud service workflow

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comparing costs for hosting data management tool at own site and cloud

Cloud•cloud hosting = 20 euros/month•set up effort = 1hr•back up included

•Total for 5 years = 1200 euros

Hosting at institution•1 server+monitor+ups = 1200 euros•set up > 1 day effort or 100 euros•hardware maintenance effort = difficult to be defined but significant

•Total for 5 years = 1300 +personnel for hardware maintenance+ costs of unexpected HW breakdowns e.g. supplier, hard disk

Costs of software support could be the same for both cases

Costs of software support could be the same for both cases

After 5 years the HW should be renewed/upgraded

After 5 years the HW should be renewed/upgraded

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CASE 2: SETTING UP SEARCH SERVICE/PORTAL OVER THE CLOUD

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demo• GLN backbone (http://www.greenlearningnetwork.com)

• Organic.Edunet revamp (http://www.greenlearningnetwork.com/organicedunet)

• AgShare Find OER (http://greenlearningnetwork.com/agshareoer)

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how it works

Metadata aggregator for educational content

Search API

Template customizationhtml, css, Ajax, JS

Clo

ud

Educational collection management tool

Metadata aggregator for other data types

Search API

Data management tool

Inst

itutio

n

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how it works

Metadata aggregator for educational content

Search API

Template customizationhtml, css, Ajax, JS

Clo

ud

Educational collection management tool

Metadata aggregator for other data types

Search API

Data management tool

widget in Facebook page

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next challenges

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1. Social Research Networking• Connecting peers & visualising social

networks, connecting researchers with publications, recommending relevant research– Mendeley (www.mendeley.com), ResearchGate

(http://www.researchgate.net), Academia.edu (http://academia.edu), ArnetMiner (http://arnetminer.org), …

– Social research components in popular CMSs (JomSocial, Drupal’s Buddylist, Elgg…)

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connect peers/publications (+APIs)

http://dev.mendeley.com/

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extending social CMS components

http://voa3r.cc.uah.es

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2. Enriched research objects• Complex, linked research objects

– executable scientific workflows, e.g. MyExperiment (http://www.myexperiment.org), Kepler (https://kepler-project.org)

– data sets e.g. PLoS (http://www.plos.org), FigShare (http://figshare.com)

– processing web services e.g. BioCatalogue (http://www.biocatalogue.org)

– Scientist generated classifications/taxonomies e.g. Scratchpads (http://scratchpads.eu)

– thematic networks/catalogues e.g. TELeurope (http://www.teleurope.eu), VOA3R (http://voa3r.cc.uah.es)

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composite/networked research

http://education.natural-europe.eu/green/exhibits/show/grape-cultivars/to-begin-with

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3. End-user interfaces and access• Facilitating and monitoring usage and access

– Visualising social bookmarks (Klerx & Duval)– TinyArm (http://atinyarm.appspot.com) – MACE (http://portal.mace-project.eu) and maeve

interactive installation at Venice Biennale (http://vimeo.com/1738770)

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research visualisations & analytics

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interactive navigation interfaces

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METADATA AGGREGATOR

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thank [email protected]

http://wiki.agroknow.grhttp://aginfra.eu