What makes data portals valuable and what we need to keep doing to ensure we get the value of open data!
All shown portals running on the ckan.org software. Get in touch with services[@]okfn.org for hosting, deployment or customization.
10. What makes data portals valuable
Why we can’t just stop there
Agenda
11. We are a global network using advocacy,
technology & training to unlock information
and data and empower citizens and
organizations to drive positive change
okfn.org
12. We build tools and communities to educate,
empower and connect people.
OpenDataProtocols.org
13. What does open mean?
A piece of content or data is open if anyone is free to
use, reuse, and redistribute it — subject only, at most,
to the requirement to attribute and share-alike.
http://opendefinition.org/
17. CKAN is...
a search index and
signpost to data
a metadata catalog
a datastore (with APIs)
a data management solution
18. So what’s all the fuss about data
portals anyway?
data portals are ‘in’ this year
19. Serves two main use cases
1. search and discoverability for re-users of data
2. data management tools for publishers
ckan platform
Serves two main use cases
20. 1. Search and discovery
Online home for data
Central keyword search
Facet by tags, location, format, licence,
publishing department
Browse by groups, keywords, publishers
Standardized interface for viewing
Link to datasets or data directly
Previews and data exploration where possible
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29. Data Management for Publishers
Easily store and update metadata records
Workflow and approval
Fine grained authorization controls
Broken link reports
Download and view counts
35. ● Improve metadata quality
● A key tool for governments internally
● Central point of discovery and activity
● Clear licensing for re-use
Benefits of data portals
36. We need to be ambitious
It’s time to demand more
37. ● Transparency
● Economy
● Efficiency and going digital
● Reuse
○ the best things to do with your data will
be thought of by someone else
Why do open data at all?
38. ● Engagement & community
● Data literacy and education
● Data quality - frictionless ‘re-use’ ready
data
● Release important datasets at granular
levels
So now what?
44. ● Data expeditions - online and offline short gatherings where a group of people
School of data
with different backgrounds tackle a data related problem
● Data clinics - hands on support working directly with people’s data
● Mentoring - local mentors working with local communities
● Online content - tutorial and walkthroughs
● Offline resources e.g. Data Journalism Handbook
45. 1. Open, machine readable formats
2. Standard ‘packaging’ - data.okfn.org
3. Use the data you publish
4. Publish the schema
5. Standardise
Data quality