a talk about tools for supporting data journalism workflows and making work with open data easy. Open Data on the Web workshop: http://www.w3.org/2013/04/odw/agenda

1. Open Data in
Data Journalists' Workflow
Institute of Mathematics and Computer
Science, University of Latvia
National Library of Latvia
Uldis Bojārs (@CaptSolo)
ODW-2013 – 24-Apr-2013

2. National Library of Latvia (NLL)
• Digital Library “Lettonica”
– http://www.lnb.lv/en/digital-library
• Linked Open Data [Publishing]
– being added into NLL’s systems
• Examples:
– authority data
– digital object management system
– digital text corpus + named entity database

3. IMCS, University of Latvia
• Institute of Mathematics and
Computer Science (IMCS)
– http://www.lumii.lv/resource/show/170
• Open Data
– making it easier for people to work with data
(discover, transform, visualize, ...)
– interested in collaboration on open data projects

4. Make it simpler
• working with data must be
as easy as possible
– *frictionless* (as Rufus says)
• need a data eco-system
– [work with] data  more useful data
= motivation for the Data Journalism /
Data Processing Tool [proposal]

5. Marko Lorenz, 2010 – CC BY 2.0 license
http://en.wikipedia.org/wiki/File:Data_driven_journalism_process.jpg

6. Data Visualization Pipeline (Ben Fry)
via “Speculative Maps & Open Data“ talk @ ODW-2013
by Benedikt Groß

7. Data Processing Tool
• The Idea:
– a tool (or set of tools) covering the whole workflow
• repeatability, provenance, data publishing
– make it easy for people to use open data
• graphical modeling, visualization, natural language
• Data Journalism (one of the use cases)
– discovery
– transformation (clean, filter, integrate, ...)
– interpretation (visualization, ...)
– developing a story
– publishing

8. Research @ IMCS
• semantic web
– data modeling, mapping RDBMS data to RDF, ...
• network analysis and visualization [tools]
– http://www.slideshare.net/CaptSolo/exploring-the-
networks-in-open-public-data-13391338
• computational linguistics
– named entity and relationship extraction
– natural language interfaces

9. in the context of Data Web
• important [for the web]:
– data discovery
– data publishing
• publish the data along with the story
– make it easy to publish data as a part of the data
journalism workflow
– make data discoverable for re-use
– [automatically] maintain provenance info

10. More info
• Uldis Bojārs - @CaptSolo
uldis.bojars@gmail.com
• National Library of Latvia
http://www.lnb.lv/en/digital-library
• IMCS: Exploring the Networks on Open Public Data
http://www.slideshare.net/CaptSolo/exploring-the-
networks-in-open-public-data-13391338
Data Journalism Tool proposal in progress,
get in touch for more info