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Joining Up Science & Policy
requires
- before anything else –
Joined Up Science
(plus much more)
1
Before K4P: the Question
2
“I want some
evidence4policy
on (for example*)
migration”
* or any other topic
?
Before K4P: The Answer, Part 1
3
“Let’s start with the
Joint Research Centre”
4
JRC Publications JRC Datasets
Knowledge Centre on
Migration & Demography:
on JRC Science Hub, + 2 databases:
Foresight Competence
Centre, Migration Topic
Before K4P: The Answer, Parts 2,
3, 4, 5...
5
“Now let’s visit five other EU
Commission Departments...”
(User giving up)
After K4P: The Answer
6
“Search Here”
K4P Mission at a Glance
• What: scientific knowledge for policymakers
• Who: scientists and policymakers
• Why: closer interactions between them
• Where: across EU Commission and beyond
– scientific knowledge for policy from across Europe
– for policymakers across Europe
7
Integrated yet Flexible Architecture
8
Topic
Platform Level:
Seamless presentation of all
knowledge
Knowledge Services:
• Filtered view of Knowledge Base.
• Additional local, KS-specific taxonomies,
• powering KS-specific search, Topics, etc.
• Customisable, yet coherent.
• Local home for Communities of Knowledge*
Themes*
Geo-
graphical*
Home page
Global
Search
My
Platform*
KS-specific Search
Everything in one database
Linked to, not owned by, any one Knowledge Service
Knowledge
Base
Local
Taxonomies
Knowledge
Service
Knowledge
Service
Community*
* Not in MVP
CONTENT TYPES & KEY MENUS
Quick Tour
9
Global Resource
10
Eurostat dataset curated by
Bioeconomy Knowledge Centre
The Resource
Imported from one of
several CKAN databases
Content discovery
across Platform
via Global & Local
Taxonomies
& automated taxonomy
matching Global Eurostat
Organisation Profile
Global Taxonomy
Menus
All linked KS, their
Local Topics &
Local Tag menus
Global Organisation Profile
11
Eurostat Profile
The Organisation
Consolidated from
several CKAN dbases
Its K4P Content
curated by multiple
Knowledge Services.
Facet-searchable
Linked Knowledge
Services
each link customisable
to highlight specific
knowledge, menus,
etc.
Content Discovery
via automated
taxonomy matching
Local Topic & Country Menus
12
The Knowledge:
Executive Summary. Flexible:
text, images, data visualisations,
highlighted resources ...
Example: Bioeconomy Knowledge Service
Left: Economy Topic Menu
Right: Denmark Country Menu
The Information & Data
underpinning that Knowledge:
publications, data, other
resources, news, organisations,
projects etc. classified with this
local Topic/Country taxonomy.
Facet-Searchable.
Knowledge Service Home:
one default, one alternative
13
Economies of Scale
Alternative layout done
for one Knowledge
Service, made available
to all.
Time required to change
design: 3 seconds.
FACETED SEARCH
Granular, yet Usable, Content Discovery
14
Freetext Search from K4P Home
15
Refining Search Results with
Global Taxonomies:
• Knowledge Service
• Content type
• Related organisation
• K4P Thesaurus, itself
searchable:
‘Bundling’ Content Types
to improve usability
16
Pre-select content type
or content type bundle:
“Resources” bundles six
different content types.
Content Type-specific facets
17
Filtering by Publications
unlocks extra facets:
• Publication Type (4)
• Year of Publication
Searching within a Knowledge Service:
Local Taxonomies, Higher Granularity
18
Bioeconomy: two
Local Taxonomies
• Topic Menus
• Local Tags
SYSTEM & TAXONOMIC
ARCHITECTURE
Under the Hood
19
Scalable System Ecology
• Pubsy: JRC Publications
• CKAN data catalogues:
datasets
– JRC datasets from JRC data
catalogue
– Non-JRC datasets from KS’
catalogs
• Newsroom: News and Events
– + sends enewsletters (future)
• Drupal
– other content
– manages presentation of
content
– user subscription management
• Next? CORDIS
20
K4P
Knowledge
Base
News
room
Pubsy
Drupal
Other
knowledge
Drupal
?
?
K4P on
Webenewsletters
Sends
JRC Data
Catalogue
KS Data
Catalogues
3-layer Taxonomic Architecture
21
Local
Taxonomy
EUROVOC
(~7000 terms in total)
Digital EUROPA Thesaurus
(~1500 terms in total)
Overlap: ~1300 EuroVoc
terms in DET
~180 non-
Eurovoc terms
in DET
DET Term
EUROVOC
Term
Linked terms
(via VocBench)
Local
Term
3-layer architecture:
Management & Exploitation
VocBenchManage
Publish
Machine-readable
taxonomy
Drupal 7
CMS
Drupal 8
CMS
Other
applications
K4P ON CONNECTED
Internal Collaboration
23
What’s on Connected>K4P?
24
Get Support
Steering Group
Meeting Prep
Current
Highlights
User Manual
Report a Bug
Who’s Who
Activity Feed,
Weekly Team
Catchups...
Development
Pipeline &
Discussion
Identity
Redacted
1. Idea
• Brief description
• Gather interest
2. Define it
• Consensus on What
• Cost Estimate
3. Go/NoGo?
• Prioritisation
4. Under
Development
• Managed on Jira
5. Delivered
• User Manual
Update
Feature/Change Requests at a Glance
25
• Discussion:
Comments &
Upvotes
(= popularity)
• Output: “Define
in detail” or
“Drop”
• Discussion:
“What would
this look like?
And imply?”
• Output:
technical spec,
effort estimate
• Discussion:
Cost/Benefit
analysis
• Output:
Prioritisation
• Reports &
Questions on
Connected as
required
Finding Consensus Across
Multiple Teams
26
<<snip>>
Step 2: Discussion Document
• Idea Fleshed into Costed* Spec
• (*ballpark costing)
• Discussed via Comments
• Major issues escalated to
Steering Group Meeting
Identity Redacted

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K4P is now Out of Beta

  • 1. Joining Up Science & Policy requires - before anything else – Joined Up Science (plus much more) 1
  • 2. Before K4P: the Question 2 “I want some evidence4policy on (for example*) migration” * or any other topic ?
  • 3. Before K4P: The Answer, Part 1 3 “Let’s start with the Joint Research Centre”
  • 4. 4 JRC Publications JRC Datasets Knowledge Centre on Migration & Demography: on JRC Science Hub, + 2 databases: Foresight Competence Centre, Migration Topic
  • 5. Before K4P: The Answer, Parts 2, 3, 4, 5... 5 “Now let’s visit five other EU Commission Departments...” (User giving up)
  • 6. After K4P: The Answer 6 “Search Here”
  • 7. K4P Mission at a Glance • What: scientific knowledge for policymakers • Who: scientists and policymakers • Why: closer interactions between them • Where: across EU Commission and beyond – scientific knowledge for policy from across Europe – for policymakers across Europe 7
  • 8. Integrated yet Flexible Architecture 8 Topic Platform Level: Seamless presentation of all knowledge Knowledge Services: • Filtered view of Knowledge Base. • Additional local, KS-specific taxonomies, • powering KS-specific search, Topics, etc. • Customisable, yet coherent. • Local home for Communities of Knowledge* Themes* Geo- graphical* Home page Global Search My Platform* KS-specific Search Everything in one database Linked to, not owned by, any one Knowledge Service Knowledge Base Local Taxonomies Knowledge Service Knowledge Service Community* * Not in MVP
  • 9. CONTENT TYPES & KEY MENUS Quick Tour 9
  • 10. Global Resource 10 Eurostat dataset curated by Bioeconomy Knowledge Centre The Resource Imported from one of several CKAN databases Content discovery across Platform via Global & Local Taxonomies & automated taxonomy matching Global Eurostat Organisation Profile Global Taxonomy Menus All linked KS, their Local Topics & Local Tag menus
  • 11. Global Organisation Profile 11 Eurostat Profile The Organisation Consolidated from several CKAN dbases Its K4P Content curated by multiple Knowledge Services. Facet-searchable Linked Knowledge Services each link customisable to highlight specific knowledge, menus, etc. Content Discovery via automated taxonomy matching
  • 12. Local Topic & Country Menus 12 The Knowledge: Executive Summary. Flexible: text, images, data visualisations, highlighted resources ... Example: Bioeconomy Knowledge Service Left: Economy Topic Menu Right: Denmark Country Menu The Information & Data underpinning that Knowledge: publications, data, other resources, news, organisations, projects etc. classified with this local Topic/Country taxonomy. Facet-Searchable.
  • 13. Knowledge Service Home: one default, one alternative 13 Economies of Scale Alternative layout done for one Knowledge Service, made available to all. Time required to change design: 3 seconds.
  • 14. FACETED SEARCH Granular, yet Usable, Content Discovery 14
  • 15. Freetext Search from K4P Home 15 Refining Search Results with Global Taxonomies: • Knowledge Service • Content type • Related organisation • K4P Thesaurus, itself searchable:
  • 16. ‘Bundling’ Content Types to improve usability 16 Pre-select content type or content type bundle: “Resources” bundles six different content types.
  • 17. Content Type-specific facets 17 Filtering by Publications unlocks extra facets: • Publication Type (4) • Year of Publication
  • 18. Searching within a Knowledge Service: Local Taxonomies, Higher Granularity 18 Bioeconomy: two Local Taxonomies • Topic Menus • Local Tags
  • 20. Scalable System Ecology • Pubsy: JRC Publications • CKAN data catalogues: datasets – JRC datasets from JRC data catalogue – Non-JRC datasets from KS’ catalogs • Newsroom: News and Events – + sends enewsletters (future) • Drupal – other content – manages presentation of content – user subscription management • Next? CORDIS 20 K4P Knowledge Base News room Pubsy Drupal Other knowledge Drupal ? ? K4P on Webenewsletters Sends JRC Data Catalogue KS Data Catalogues
  • 21. 3-layer Taxonomic Architecture 21 Local Taxonomy EUROVOC (~7000 terms in total) Digital EUROPA Thesaurus (~1500 terms in total) Overlap: ~1300 EuroVoc terms in DET ~180 non- Eurovoc terms in DET DET Term EUROVOC Term Linked terms (via VocBench) Local Term
  • 22. 3-layer architecture: Management & Exploitation VocBenchManage Publish Machine-readable taxonomy Drupal 7 CMS Drupal 8 CMS Other applications
  • 23. K4P ON CONNECTED Internal Collaboration 23
  • 24. What’s on Connected>K4P? 24 Get Support Steering Group Meeting Prep Current Highlights User Manual Report a Bug Who’s Who Activity Feed, Weekly Team Catchups... Development Pipeline & Discussion Identity Redacted
  • 25. 1. Idea • Brief description • Gather interest 2. Define it • Consensus on What • Cost Estimate 3. Go/NoGo? • Prioritisation 4. Under Development • Managed on Jira 5. Delivered • User Manual Update Feature/Change Requests at a Glance 25 • Discussion: Comments & Upvotes (= popularity) • Output: “Define in detail” or “Drop” • Discussion: “What would this look like? And imply?” • Output: technical spec, effort estimate • Discussion: Cost/Benefit analysis • Output: Prioritisation • Reports & Questions on Connected as required
  • 26. Finding Consensus Across Multiple Teams 26 <<snip>> Step 2: Discussion Document • Idea Fleshed into Costed* Spec • (*ballpark costing) • Discussed via Comments • Major issues escalated to Steering Group Meeting Identity Redacted