Is data journalism ‘time consuming’ or ‘resource intensive’? The excuse – and I think it is an excuse – seems to come up at an increasing number of events whenever data journalism is discussed. “It’s OK for the New York Times/Guardian/BBC,” goes the argument. “But how can our small team justify the resources – especially in a time of cutbacks?”
The idea that data journalism inherently requires extra resources is flawed – but understandable. Spectacular interactives, large scale datasets and investigative projects are the headliners of data journalism’s recent history. We have oohed and aahed over what has been achieved by programmer-journalists and data sleuths…
But that’s not all there is.
In writing last week’s Guardian Data Blog piece on How to be a data journalist I asked various people involved in data journalism where they would recommend starting. The answers are so useful that I thought I’d publish them in full here.
The Telegraph’s Conrad Quilty-Harper:
Keep adding to your knowledge and follow other data journalists/people who work with data on Twitter.
Look for sources of data:
ONS stats release calendar is a good start http://www.statistics.gov.uk/hub/release-calendar/index.html Look at the Government data stores (Data.gov, Data.gov.uk, Data.london.gov.uk etc).
Check out What do they know, Freebase, Wikileaks, Manyeyes, Google Fusion charts. Continue reading