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Data Driven Journalism Links and Resources
Data Driven Journalism Links and Resources
Data Driven Journalism Links and Resources
Data Driven Journalism Links and Resources
Data Driven Journalism Links and Resources
Data Driven Journalism Links and Resources
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Data Driven Journalism Links and Resources

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Data-Driven Journalism Resources for students who enrolled in the Knight Center MOOC on Data-Driven Journalism: The Basics held September 2013

Data-Driven Journalism Resources for students who enrolled in the Knight Center MOOC on Data-Driven Journalism: The Basics held September 2013

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  • 1. MOOC: Data-Driven Journalism | September 2013 Recommended Resources and Links about Data-Driven Journalism By Amy Schmitz Weiss, Lise Olsen, Derek Willis, Jeremy Bowers and Sisi Wei   © Knight Center for Journalism in the Americas MOOC, 2013 1   Amy Schmitz Weiss’ Toolbox: • Great resources of additional how-tos with data-driven journalism: http://datadrivenjournalism.net/resources • Understanding Data Journalism – Overview http://journalistsresource.org/skills/reporting/understanding-data-journalism-overview-tools-topics • Lessons from the School of Data Journalism: http://www.pbs.org/idealab/2013/05/lessons-from-the-school-of-data-journalism-125 • How to be a data journalist: http://www.theguardian.com/news/datablog/2010/oct/01/data-journalism-how-to-guide • Data Journalism Handbook: http://datajournalismhandbook.org/ • Inspirational data journalism projects: http://www.journalism.co.uk/news/-editors13-13-data-journalism-projects-big-and- small/s2/a553134/ • Information is Beautiful: http://www.informationisbeautiful.net/ • Data-Driven Journalism Resources by MOOC Student Dan Turner: https://datajmoocreading.hackpad.com/ep/group/nomTZ1zdHPU • Data science, commoditized backends, and the need to know code: A roundup of NICAR 2013: http://www.niemanlab.org/2013/03/data-science-commoditized-backends-and-the-need-to- know-code-a-roundup-of-nicar-2013/ • Mailing list for Data Driven Journalism site and resources: http://datadrivenjournalism.net/mailinglist Data Journalists to Follow on Twitter: @sisiwei @chrondigger @derekwillis @jbowers @brianboyer @amandacox @viegasf @michelleminkoff @stiles @ryanmark @smfrogers @martinbelam @nicolaskb @adrianholovaty @martinstabe
  • 2. MOOC: Data-Driven Journalism | September 2013 Recommended Resources and Links about Data-Driven Journalism By Amy Schmitz Weiss, Lise Olsen, Derek Willis, Jeremy Bowers and Sisi Wei   © Knight Center for Journalism in the Americas MOOC, 2013 2   Lise Olsen’s Toolbox: • For story ideas and inspiration, check out the winners of this year’s Data Journalism awards http://www.globaleditorsnetwork.org/dja/ • International Consortium of Investigative Journalists – story ideas, links and how-tos and a new offshore banking database: http://www.icij.org/ • IRE’s Resource center and Database library: http://www.ire.org/ • 2012 IRE award winners with links to stories: http://www.ire.org/awards/ire- awards/winners/2012-ire-award-winners/ • Instituto de Prensa y Sociedad – IPYS has an archive like IRE’s and does a great conference in Latin America called COLPIN: http://www.ipys.org/ A few of Lise’s favorite places to find data: • Search systems public records directory: http://publicrecords.searchsystems.net/United_States_Free_Public_Records_by_State/ • Google’s Public Data Directory: http://www.google.com/publicdata/directory • International Census data links: http://www.census.gov/population/international/links/stat_int.html • Links to public records via the London Guardian: http://www.guardian.co.uk/data • Advanced Google search window here: http://www.google.com/advanced_search Try searching within certain domains and by file type. • United Nations databases: http://data.un.org Lise Olsen’s tips for networking and tutorials: • Tweeting data journalists: https://twitter.com/marshallk/datajournalists/members • NICAR: Data, training and a list of people who can help with data-driven journalism (see NICAR-L): http://www.ire.org/resource-center/listservs/subscribe-nicar-l/ • Global-L: https://po.missouri.edu/cgi-bin/wa?A0=GLOBAL-L • Online News Association: http://journalists.org/ • Knight Center for journalism in the Americas Webinars – like this one in Portuguese https://knightcenter.utexas.edu/blog/00-14398-knight-center-and-anj-offer-course-brazilian- journalists-introduction-data-journalism • International Center for Journalists has many tools and tutorials and information about funding and fellowships: http://www.icfj.org/ • ABRAJI in Brazil – great Brazilian investigative reporting organization, leaders in data journalism and hosts of this year’s global conference in Rio de Janeiro http://www.abraji.org.br/ • The Global Investigative Journalism Network offers resources and links to many other organizations that promote investigative journalism and datajournalism worldwide. http://gijn.org/member/ • Data journalism links: http://gijn.org/resources/data-journalism/
  • 3. MOOC: Data-Driven Journalism | September 2013 Recommended Resources and Links about Data-Driven Journalism By Amy Schmitz Weiss, Lise Olsen, Derek Willis, Jeremy Bowers and Sisi Wei   © Knight Center for Journalism in the Americas MOOC, 2013 3   Lise Olsen’s tips for tutorials/basic mapping and data viz sites: • Google Mymap video is only two minutes long and teaches how to make a map and embed photos or videos https://support.google.com/maps/answer/62843?hl=en • Many Eyes – site with easy-to-try interactives http://www-958.ibm.com/software/data/cognos/manyeyes/page/create_visualization.html • Worldle – make graphics out of speeches, text. http://www.wordle.net/ • Document Cloud (text analysis and storage tool): https://www.documentcloud.org/home • If you know how to use spreadsheets: Use Batchgeo to map dozens or hundreds of addresses by copying and pasting and hitting a button: http://www.batchgeo.com • Google Fusion tables to create relationship tables or maps: https://developers.google.com/fusiontables/ • More top tools in the Data Journalism Handbook: http://datajournalismhandbook.org/1.0/en/delivering_data_7.html • Knight Digital Media Center tutorials: http://multimedia.journalism.berkeley.edu/tutorials/
  • 4. MOOC: Data-Driven Journalism | September 2013 Recommended Resources and Links about Data-Driven Journalism By Amy Schmitz Weiss, Lise Olsen, Derek Willis, Jeremy Bowers and Sisi Wei   © Knight Center for Journalism in the Americas MOOC, 2013 4   Derek Willis’ Toolbox: • Drawing Conclusions from Data: http://source.mozillaopennews.org/en-US/learning/statistically- sound-data-journalism/ • How to not screw up your data: http://veltman.tumblr.com/post/44638298912/how-to-not-screw- up-your-data • We must understand our news content as data: http://michelleminkoff.com/2010/10/16/we-must- understand-our-news-content-as-data/ • The Bastards Book of Ruby: http://ruby.bastardsbook.com/ • Learning to think like a programmer: http://infovore.org/archives/2009/01/22/learning-to-think- like-a-programmer/ • Statistics help for journalists: http://nilesonline.com/stats/ • A Guide to Computer-Assisted Reporting: http://www.poynter.org/uncategorized/69334/a-guide-to-computer-assisted-reporting/ • Excel Sorting & Filtering: http://ire.org/media/uploads/car2013_tipsheets/excel_1_tipsheet.pdf • A Guide to Bulletproofing Your Data: https://github.com/propublica/guides/blob/master/data- bulletproofing.md • Basic Excel Tutorial, Part I: http://www.forjournalists.com/media/BasicExcel1.pdf • Basic Excel Tutorial, Part II: http://www.forjournalists.com/media/BasicExcel2.pdf • Quickly visualize and map a data set using Google Fusion Tables: http://blog.apps.chicagotribune.com/2010/03/04/quickly-visualize-and-map-a-data-set-using- google-fusion-tables/ • Open Refine: https://github.com/OpenRefine/OpenRefine/wiki • Open Refine Tutorial: http://dannguyen.github.io/NICAR-Google-Refine/
  • 5. MOOC: Data-Driven Journalism | September 2013 Recommended Resources and Links about Data-Driven Journalism By Amy Schmitz Weiss, Lise Olsen, Derek Willis, Jeremy Bowers and Sisi Wei   © Knight Center for Journalism in the Americas MOOC, 2013 5   Jeremy Bower’s Toolbox: When things go wrong: Sometimes, your news app hits a snag and needs to be corrected. There are practices in place for correcting a story or a blog post; what should we do with our news applications? Jacob Harris explains: http://source.mozillaopennews.org/en-US/learning/times-regrets-programmer-error/ End of life: Even successful news applications don't necessarily live forever. What should you do when your news application or visualization is out of date? Matt Waite starts the discussion: http://source.mozillaopennews.org/en-US/learning/kill-all-your-darlings/ Sane data updates are harder than you think: News applications progenitor and all-around smart guy Adrian Holovaty walks you through the process of how to handle continuously updating data for your news application. Hint: It's harder than you think. • Part 1: http://source.mozillaopennews.org/learning/sane-data-updates-are-harder-you-think-part-3/ • Part 2: http://source.mozillaopennews.org/learning/sane-data-updates-are-harder-you-think-part-2/ • Part 3: http://source.mozillaopennews.org/learning/sane-data-updates-are-harder-you-think/ In defense of building tools: Week 3 instructor Derek Willis writes about the other kind of news application -- the kind that is made for a specific purpose, like a tool. Not every app has to be journalism-focused; sometimes, we build to enable journalism rather than to be journalism. http://thescoop.org/archives/2011/08/10/in-defense-of-building-tools/
  • 6. MOOC: Data-Driven Journalism | September 2013 Recommended Resources and Links about Data-Driven Journalism By Amy Schmitz Weiss, Lise Olsen, Derek Willis, Jeremy Bowers and Sisi Wei   © Knight Center for Journalism in the Americas MOOC, 2013 6   Sisi Wei’s Toolbox: Books: • The Visual Display of Quantitative Information, Edward Tufte • The Wall Street Journal Guide to Information Graphics, Dona Wong • The Functional Art, Alberto Cairo • Visualize This, Nathan Yau Additional Readings and Tutorials: • Minard’s Sources, Edward Tufte • Debunking third-world myths with the best stats you've ever seen, Hans Rosling: https://www.youtube.com/watch?feature=player_embedded&v=RUwS1uAdUcI • Making of Mariano Rivera’s Pitches, Xaquín G.V. • Mapping Social Statistics: Race and Ethnicity in Chicago, Bill Rankin: https://www.youtube.com/watch?feature=player_embedded&v=8pRcdMVkA3k • Race and ethnicity dot maps for cities all over the United States, based on the U.S. Census • Better Census Maps with Dot Density, The Why Axis • Good Design is Invisible, Reduce to the Essence, Tom Milway • Losing the Plot, John Grimwade A Few Tutorials • How to Make a Graph in Adobe Illustrator, Nathan Yau • How to Analyse Datasets with Tableau Public, Data Driven Journalism • How to make searchable, Web-based Google Charts, Michelle Minkoff • Cindy Royal’s beginner Highcharts handout • D3.js crash course, Espen Harlinn • A great and thorough introduction to Fusion Tables at Google I/O 2011: https://www.youtube.com/watch?feature=player_embedded&v=Z2o0mtnF1Bg ______________________________________________________________________________________

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