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The Data Journalism Handbook by Jonathan Gray, Lucy Chambers, Liliana Bounegru and a Large Group of Collaborators

Posted by shawnday on 20 June 2012
Posted in: Review. Leave a Comment

The par­tic­u­larly well-conceived infographic that illus­trates the story arc of this hand­book star­ted my rela­tion­ship with the book on a very pos­it­ive tone. The dia­gram provides a superb roadmap and gives me (as a self-perceived visual thinker) an indic­a­tion of where I can derive the most value from it. It also describes the gen­eral intent of the book itself and I give it a very strong recom­mend­a­tion. Accord­ing to the accom­pa­ny­ing nar­rat­ive it was con­ceived and ini­tially con­struc­ted in a 48 hours ses­sion at MozFest 2011 and then refined online amongst a large group of con­trib­ut­ors. The Data Journ­al­ism Hand­book (an early release ver­sion is what I have been provided with and am review­ing) is aimed to “give you a sense of how to get star­ted [with data journ­al­ism] and where to look if you want to go fur­ther. Examples and tutori­als serve to be illus­trat­ive rather than exhaust­ive.” So why I am read­ing this? Nat­ural inquis­it­ive­ness of course, but also to explore this concept of telling a story with num­bers … or with other forms of data. Pro­fes­sional and per­son­ally it interests me — and I found this col­lec­ted volume a treas­ure trove of real-world examples, pithy obser­va­tions and real nug­gets of emer­ging thought.

This instruc­tional and thought-provoking book looks to the a rap­idly emer­ging sec­tor of the media engaged around present­ing, inter­pret­ing and most innov­at­ively devel­op­ing and provid­ing inter­act­ive tools for work­ing with pub­licly avail­able data — as part of a ‘new’ media ini­ti­at­ive. It is not a ‘nor­mally struc­tured’ sort of book. In this I mean it is far less struc­tured than most. It has a solid coher­ence around the gen­eral theme and if you take a look at the story arc infographic I men­tioned above you will see that it does fol­low a determ­ined path, but there is a less clearly nar­rat­ive structure.

To extract just one aspect that I found par­tic­u­larly sup­port­ive of the simple need for this sort of hand­book is the state­ment that ‘Data journ­al­ism is about mass data lit­er­acy’. This looks to a lar­ger cul­tural change that is tak­ing place in the audi­ence and the rapid­ity of this change. I have found the Guard­ian and the New York Times par­tic­u­larly not­able in this and a ref­er­ence to the Guardian’s data pro­cessing exper­i­ence is one of the case stud­ies explained as part of the ‘In the News­room’ sec­tion. The Guard­ian has been very for­ward think­ing but also very open about how they have approached this data journ­al­ism revolu­tion and absence of such dis­cus­sion would have been almost unfor­give­able in a book such as this — so they checked the box but more import­ably put it into a lar­ger con­text of exper­i­ences from around the world.

The In the News­room sec­tion is largely case driven. The Get­ting Data sec­tion moves more towards an inter­rog­at­ive ques­tion and answer format. Under­stand­ing Data is prob­ably the most didactic sec­tion of the book and has the strongest nar­rat­ive. It com­bines some of the question/answer with a very solid pro­cess approach to data ming­ling and pro­cessing for journ­al­istic use. Present­ing and Deliv­er­ing Data is the most spec­u­lat­ive of the sec­tions and explores ways in which this is being done today but poses many inter­est­ing ideas that are meant to inspire. All in all the vari­ety of the sec­tions keeps it very fresh and engaging.

This hand­book is lav­ishly illus­trated and well dir­ec­ted to URLs for fur­ther dis­cus­sion. I found that the ques­tions posed in the ongo­ing dis­cus­sion were clearly iden­ti­fied and the entire hand­book takes the form of this ongo­ing dis­cus­sion rather than a dir­ect nar­rat­ive. I found that this worked for me and I ten­ded to move back and forth through the hand­book attrac­ted to spe­cific ques­tions and con­sumed the book piece­meal. I expect most people will find this the most use­ful way to con­sume it. As it is an assemblage of con­tri­bu­tions from a wide ran­ging group, the style of prose does tend to vary some­what between sec­tions, but I am struck that it lends a sur­pris­ing fresh­ness. Most import­antly, this hand­book is very com­pre­hens­ive and cur­rent. As with any of these prin­ted works in emer­ging fields the chal­lenge will be to keep it cur­rent over time, but I have sense that this one in par­tic­u­lar will age well due to its richly diverse sourcing and reflection.

Data Journ­al­ism truly extends bey­ond the realms of ‘journ­al­ism’ as it is tra­di­tion­ally defined. I would posit that as con­sumers of the new inter­act­ive present­a­tions increas­ingly found in the new media, we are both con­sumers and also cre­at­ors of our own journ­al­ism. Cur­at­ors journ­al­ists that inter­act and cre­ate our own inter­pret­a­tions and tis is what inter­ested me in the out­set to take a look at this book. I found it a fas­cin­at­ing read, dealign with cur­rent mat­ters, present­ing enga­ging examples and gen­er­ally test­ing an emer­ging field with crit­ical atten­tion. I would recom­mend it for a wide vari­ety of audi­ences and prin­cip­ally for any­one who finds them­selves immersed in this new inter­act­ive data-driven media world in which we find ourselves.
I review for the O'Reilly Blogger Review Program

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  • about.me

    Shawn Day

    Shawn Day

    Shawn Day is an entrepreneur, digital historian, economist and blender of the aesthetic and the informative. Raised in Canada, Shawn now works with the Digital Humanities Observatory, a project of the Royal Irish Academy, to leverage Ireland's participation in the emerging practise of digital humanities scholarship. He lectures in Social Computing and the Philosophy of Technology.

    His own research explores the social and economic circumstances of the nineteenth century retail liquor trade and it's impact on family. He applies digital, spatial and social network analysis to the study of the relationships between credit, respectability, and order in the Victorian community. Recent articles have examined the social dimensions of the Victorian public mental hospital using GIS and statistical modeling tools. Shawn has been involved in a number of successful and innovative digital humanities projects throughout Canada. Most recently he has worked with large manuscript census databases in the 1871/1891 census project (University of Guelph). He is a team member of the national TAPoR text analysis portal project, the Canadian Network for Economic History and the Network for Canadian History and the Environment (NiCHE - UWO).

    Shawn has blended his background in management economics with an entrepreneurial ethos to found a number of successful software development ventures in Canada and find a means to leverage this in the academic arena.

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      • Conference Papers
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        • 1871 Populations of Ontario
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        • Breweries and Distilleries in Ontario, 1914–15
        • Canadian Federal Railway Charters
      • Maps
        • 1841 Settlers Map of Ontario
        • 1848 Circulation Map of Paris
        • 1851 Essex County by Religion Stated in Census
        • 1891 Ontario Census Divisions
        • Admissions from Gaols to Hamilton Asylum
        • Asylums in New Zealand, 1900
        • Asylums in Scotland, 1797–1897
        • Asylums in the Australian Colonies, 1860
        • Asylums in the United States, 1850
        • Asylums in Western Canada, 1911
        • Asylums of England and Wales, 1765–1845
        • Asylums of England and Wales, 1845–1860
        • Asylums of Ireland, 1814–1869
        • Discharge Rate from Hamilton Asylum
        • Duration of Stay for First Admissions to Hamilton Asylum
        • First Admissions to Hamilton Asylum by County
        • Irish and Indian-Trained Psychiatrists in Canada
        • Modern Circulation Map of Paris
        • Rate of Readmission to Hamilton Asylum
        • Study Context
      • Other Research Stuff
        • Sir Frank Smith
      • Visual Support Materials
        • 1851 — 1911 Essex County Census District Evolution
        • 1878 Guelph Mass Model
        • Guelph Historical GIS
        • Napoleonic Timeline
        • Occupational Comparison 1867–2007
        • Pajek Apple Taxonomy
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