Archives for category: Info Architecture

I had the priv­ilege of chair­ing a sym­posium organ­ized by the Irish Manu­script Com­mis­sion which invited par­ti­cipants from a vari­ety of Irish cul­tural insti­tu­tions to dis­cuss issues arising from the new Europeana Data Exchange Agree­ment. Present­a­tions from Jill Cous­ins, Dir­ector of Europeana and her col­leagues, Geor­gia Angelaki, Paul Keller and Lucie Guibault sought to bring clar­ity to the new agree­ment and the issues emer­ging from the online present­a­tion of digital cul­tural arte­facts. Read the rest of this entry »

The premise of the Inform­a­tion Diet by Clay John­son is: ‘What if we star­ted man­aging our inform­a­tion con­sump­tion like we man­aged our food con­sump­tion?’ And so it begins. This is a fas­cin­at­ing book framed as an open dis­cus­sion in which John­son car­ries along this meta­phor of inform­a­tion intake being likened to nutri­tional susten­ance. The ini­tial chapters explore over­eat­ing and the obesity of Amer­ica, but the reader is increas­ingly won­der­ing how far the author plan­ning on car­ry­ing this over­eat­ing con­sump­tion meta­phor. As the nar­rat­ive starts to move into the realm of inform­a­tion pro­vi­sion and the ‘indus­tri­al­iz­a­tion of inform­a­tion’ the author’s inten­tions become clearer. The case study of AOL’s Blog­s­mith soft­ware that allows for the meas­ure­ment of information’s impact on rev­enue and prof­it­ab­il­ity high­lights is quite fas­cin­at­ing and paints a pic­ture of inform­a­tion becom­ing turned into ‘fast food’ — that is eas­ily absorbed, desired, but of lim­ited or destruct­ive nutri­tional value. Read the rest of this entry »

bigData.gifThe *Big* Data Gloss­ary is actu­ally a rel­at­ively *short* book, best enjoyed as an eBook in my estim­a­tion. This volume is sim­ilar to a num­ber of recent releases from O’Reilly that have moved from being deep and com­pre­hens­ive to provid­ing a higher-level taste-test over­view from a more con­cep­tual stand­point. In this instance, the Big Data Gloss­ary by Pete Warden could also be described as an annot­ated bib­li­o­graphy of the vari­ety of tools and plat­forms recently emerged to work with linked data or large and rich datasets.

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diy bookbinding.gifWhat a great excur­sion down a won­der­ful pro­ject! A lovely, short, step-by-step brief, DIY Book­bind­ing by Brian Saw­yer inspires the reader to attempt their own book­bind­ing pro­ject. Although only 32 pages in length, the author makes the pro­cess of bind­ing together a col­lec­tion of magazines into a dur­able hard­cover tome quite approach­able and achievable.

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infostripeI was intrigued by an off­hand ref­er­ence to a ‘neat new ser­vice’ and con­sequently poked into infostripe. It’s a con­sol­id­ated touch­point for shar­ing your social media par­ti­cip­a­tion and iden­tit­ies in a com­pact and dynamic man­ner. Sim­ilar to some extent to about.me, it draws upon a cer­tain amount of your digital nar­ciss­ism. The biggest dif­fer­ence between about.me and infostripe appears to be in the fla­vour: about.me takes a very aesthetic-centred approach, where infostripe is deeply rich in con­tent and con­cise present­a­tion. About.me demands more manual cre­ation of the inform­a­tion used to describe you, where infostripe attempts to auto­mate this pro­cess by build­ing a pro­file based on what you are con­trib­ut­ing to the social mediashpere.

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rCookbook.gif The R Cook­book by Paul Tee­tor is a solid addi­tion to the well respec­ted series. Tee­tor provides a rich col­lec­tion of use­ful examples writ­ten in the proven method and cov­er­ing everything from installing, con­fig­ur­ing and run­ning R to car­ry­ing out soph­ist­ic­ated stat­ist­ical ana­lysis tasks that demon­strate the power of R. The book is tar­geted at a wide audi­ence from R novice eager to just start play­ing in R to more exper­i­enced prac­ti­tion­ers look­ing to hone and round out their R repertoire.

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artofcommunity.gifIn The Art of Com­munity, Jono Bacon tackles the task of explain­ing how to attract, build and main­tain pro­duct­ive col­lab­or­at­ive online com­munit­ies. Bacon has had impress­ive cre­den­tials to author such a book and draws from his exper­i­ence skill­fully. With over ten years exper­i­ence in the open source com­munity he has the hands-on exper­i­ence with ini­ti­at­ives such as com­munity man­ager for Ubuntu, KDE and OpenAdvantage.

The book is organ­ised logic­ally with a healthy selec­tion of applied chapters in design­ing a strategy, under­stand­ing the soci­olo­gical aspects behind com­munity form­a­tion, through under­stand­ing com­munity health and deal­ing with issues that arise. Read the rest of this entry »

mymChallenge.jpg

The Map Your Moves Chal­lenge fas­cin­ates me. New York’s Pub­lic Radio sta­tion WNYC has devised a data visu­al­isa­tion chal­lenge for their listen­ers. Curi­ous about what makes people move from and to their com­munity they polled stor­ies from their listen­ers and col­lec­ted them into a struc­tured data­set and have released it into the wild. Now this is very cool…they want to take real stor­ies and under­stand how these stor­ies inter­act and how they can learn about their own com­munity from them. Abso­lutely brilliant!

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Data visu­al­isa­tion has become very vogue in the digital human­it­ies com­munity. Although there have been a scat­ter­ing of brave prac­ti­tion­ers over the past few years, only very recently has this inter­dis­cip­lin­ary area star­ted to fea­ture prom­in­ently at DH con­fer­ences as a main­stream prac­tise worthy of consideration.

For the last few months I have been look­ing for an oppor­tun­ity (i.e. a bit of time) to delve into R and Pro­cessing, spe­cific­ally with an eye towards tak­ing some exist­ing visu­al­isa­tions I am work­ing on to a new level. R in a Nutshell

The first book of interest is R in a Nut­shell by James Adler recently pub­lished by O’Reilly.

R is a lan­guage and an envir­on­ment to sup­port data ana­lyt­ics and visu­al­isa­tion. Its approach­able, extens­ible and open source. One of the advant­ages of R over other comers is the num­ber of rather pol­ished inter­pret­ers avail­able for it and some of the great examples float­ing about that have been con­struc­ted in R. Hence my interest. I come to this interest from a digital human­it­ies back­ground and wondered whether the lan­guage could be of use for work­ing with my own data com­ing from farm diar­ies explor­ing the cycle of sea­sonal farm activities.

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Eric Fisc­her has pos­ted a new series of visu­al­isa­tions ‘Loc­als and Tour­ists’ depict­ing the loc­a­tion of pho­tos taken in urban areas around the world. In this dublinphotos.jpg series he attempts to dis­tin­guish between those taken by tour­ists (people who seem to be a local of a dif­fer­ent city and who took pic­tures in this city for less than a month) and those by loc­als (people who have taken pic­tures in this city dated over a range of a month or more). Intriguing.

What imme­di­ately struck me was his ingeni­ous re-use of the exist­ing data to cre­ate new inform­a­tion. By explor­ing indi­vidu­als pos­ted pic­tures over time he was able to hypo­thes­ise as to whether they were vis­it­ing or resid­ing in a par­tic­u­lar area. This allowed for a means to com­pare the gaze of the two groups.

I imme­di­ately star­ted to explore his map of Dub­lin to see if any pat­terns emerged and then to try and sug­gest explan­a­tions for them. There is a healthy and reg­u­lar mix of pho­tos by both groups in the cent­ral core, but imme­di­ately to the east is a large blue box of pho­tos taken by loc­als. It appears to sur­round the new Aviva Lans­downe Sta­dium in Balls­bridge. Addi­tion­ally on the north­side the National Botan­ical Gar­dens have a heavy con­cen­tra­tion of pho­to­graphs by locals.

The most prac­tical applic­a­tion of Loc­als versus tour­ists is to con­sider how a vis­itor might use these visu­al­isa­tions to find the hid­den city known only to its inhab­it­ants — to find those secret spots worthy of cap­ture by loc­als, but seem­ingly missed in the tour­ist guides.

This set builds on his earlier work ‘The Geot­ag­gers’ World Atlas’ look­ing at from where the pic­tures were taken, whether from car, bicyle or when walking.