Data journalists are being invited to enter a new data journalism award, launched to “celebrate the best data journalism around the world [and] to empower, elevate and enlighten the global community of data journalists.”
The Sigma Awards were created by Aron Pilhofer and Reginald Chua, with support from Marianne Bouchart and Google’s Simon Rogers. Bouchart managed the Data Journalism Awards organised by the Global Editors Network, which closed last year.
There are nine awards across six categories:
Best data-driven reporting (small and large newsrooms)
Best visualisation (small and large newsrooms)
Innovation (small and large newsrooms)
Open data; and
Best news application
Aside from a trophy, up to two people from each winning project will receive an all-expenses-covered trip to the International Journalism Festival in Perugia on 1–5 April 2020 where the awards will be celebrated.
The organisers hope that winners will “participate in and lead data journalism panels, discussions and workshops” at the festival.
Entries to the competition are open until 3 February 2020 at 11:59 pm ET via an online form.
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…
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.