Jan 27, 2015
“meaningful services around high-quality
agricultural data pools”
http://wiki.agroknow.gr
• 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
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
educators’ view
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
researchers’ view
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
practioners’ view
• stats
• gene banks
• gis data
• blogs,
• journals
• open archives
• raw data
• technologies
• learning objects
• ………..
is great…but its not the answer
• 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
Publisher
Date Catalog
SubjectID
AuthorTitle
we actually share metadata
e.g. an educational resource
…metadata reflect the context
…sometimes, data also included
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
typically look like this
16 Ternier et al., 2010
metadata aggregation tools
More than a harvester:
Validation Service Repository Software Registry Service Harvester
17
Powered by
workflows with commonalities
Harvesting Validating Transforming
OAI target - XMLs
IndexingStoring
Automatic metadata generation
De - duplication service
XMLs
Triplification
typical problem: computing
typical problem: hosting
to curate & preserve we need
even when machinery exists there are problems
• hardware maintenance• technical support• interoperability limitations
– no APIs for the dissemination of data across systems
• hardware costs
the cloud approach
Students
Researchers
Academics
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
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
what data providers need
… only a browser and internet connection
CASE 1: DATA MANAGEMENT TOOL OVER THE CLOUD
Educational Pathway Authoring Tool
Educational Pathway Authoring Tool
Cloud service workflow
how it works
Demo
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
CASE 2: SETTING UP SEARCH SERVICE/PORTAL OVER THE CLOUD
demo• GLN backbone (http://www.greenlearningnetwork.com)
• Organic.Edunet revamp (http://www.greenlearningnetwork.com/organicedunet)
• AgShare Find OER (http://greenlearningnetwork.com/agshareoer)
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
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
next challenges
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…)
connect peers/publications (+APIs)
http://dev.mendeley.com/
extending social CMS components
http://voa3r.cc.uah.es
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)
composite/networked research
http://education.natural-europe.eu/green/exhibits/show/grape-cultivars/to-begin-with
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)
research visualisations & analytics
interactive navigation interfaces
METADATA AGGREGATOR
thank [email protected]
http://wiki.agroknow.grhttp://aginfra.eu