have spreadsheets and files formatted for computers. Which means we can make the ask the questions. 2. Open data means open data journalism But now statistics have become democratised, no longer the preserve of the few but of who has a spreadsheet package on their laptop, desktop or even their mobile and tablet. Anyone can take on a fearsome set of data now and wrangle it into shape. Of course, they may not be right, but now you can easily find someone to help you. We are not wandering alone any more. At the Guardian, being part of the news process means that we're part of the news desk (news organisations are obsessed with internal geography), go to the key news meetings and try to make sure that data is part of editorial debate. 3. Has data journalism become curation? Sometimes. There's now so much data out there in the world that we try to provide the key facts for each story - and finding the right information can be as much of a lengthy journalistic task as finding the right interviewee for an article. We've started providing searches into world data and international development data. 4. Bigger datasets, smaller things The datasets are getting massive - 391,000 records for Wikileaks' Iraq release, millions for the Treasury Coins database. The indices of multiple deprivation, which is how the government measures poverty across England, has 32,482 records. Increasingly data comes in big packages about tiny things. Making that data more and easier to do stuff with has become part of the datajournalism process. 5. Data journalism is 80% perspiration, 10% great idea, 10% output It just is. We spend hours making datasets work, reformatting pdfs, mashing datasets together. You can see from this prezi how much we go through before we get the data to you. Mostly, (and those who are pretty we act as the bridge between the data much hopeless at explaining it) and the people out there in the real world who want to understand what that story is really about. 6. Long and short-form
have spreadsheets and files formatted for computers. Which means we can make the ask the questions. 2. Open data means open data journalism But now statistics have become democratised, no longer the preserve of the few but of who has a spreadsheet package on their laptop, desktop or even their mobile and tablet. Anyone can take on a fearsome set of data now and wrangle it into shape. Of course, they may not be right, but now you can easily find someone to help you. We are not wandering alone any more. At the Guardian, being part of the news process means that we're part of the news desk (news organisations are obsessed with internal geography), go to the key news meetings and try to make sure that data is part of editorial debate. 3. Has data journalism become curation? Sometimes. There's now so much data out there in the world that we try to provide the key facts for each story - and finding the right information can be as much of a lengthy journalistic task as finding the right interviewee for an article. We've started providing searches into world data and international development data. 4. Bigger datasets, smaller things The datasets are getting massive - 391,000 records for Wikileaks' Iraq release, millions for the Treasury Coins database. The indices of multiple deprivation, which is how the government measures poverty across England, has 32,482 records. Increasingly data comes in big packages about tiny things. Making that data more and easier to do stuff with has become part of the datajournalism process. 5. Data journalism is 80% perspiration, 10% great idea, 10% output It just is. We spend hours making datasets work, reformatting pdfs, mashing datasets together. You can see from this prezi how much we go through before we get the data to you. Mostly, we act as the bridge between the data (and those who are pretty much hopeless at explaining it) and the people out there in the real world who want to understand what that story is really about. 6. Long and short-form