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Open Data in Data Journalists' Workflow

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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

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Open Data in Data Journalists' Workflow

  1. 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. 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. 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. 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. 5. Marko Lorenz, 2010 – CC BY 2.0 license http://en.wikipedia.org/wiki/File:Data_driven_journalism_process.jpg
  6. 6. Data Visualization Pipeline (Ben Fry) via “Speculative Maps & Open Data“ talk @ ODW-2013 by Benedikt Groß
  7. 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. 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. 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. 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

Editor's Notes

  • Data-driven journalism is a journalistic process based on analyzing and filtering large data sets for the purpose of creating a new story. Data-driven journalism deals with open data that is freely available online and analyzed with open source tools.DDJ as one of the motivating use cases (for the tool)
  • we know data need to be published along with the story, but [almost] nobody’s doing that
  • ×