data journalism – Open Knowledge Russia http://ru.okfn.org Открытые знания - Россия Tue, 28 Jun 2016 00:17:07 +0000 ru-RU hourly 1 http://ru.okfn.org/files/2016/06/cropped-ok-logo1-32x32.png data journalism – Open Knowledge Russia http://ru.okfn.org 32 32 114359134 Free Webinars on Sensor Journalism http://ru.okfn.org/2015/03/14/free-webinars-on-sensor-journalism/ http://ru.okfn.org/2015/03/14/free-webinars-on-sensor-journalism/#respond Sat, 14 Mar 2015 23:42:43 +0000 http://ru.okfn.org/?p=332 Dear All,

This is an opportunity not to miss –

Anyone interested in sensor journalism can participate in this free program and educate him/herself. The OKCast and the Sensor Journalism Lab will present a Sunday webinar series in March on topics related to sensor journalism. The following sessions will be “Toward an Educational Module for Sensor Journalists” on March 15, “Internet of Things and Smart Cities” on March 22 and “Sensor Calibration and Certification” on March 29. All the sessions will be archived and hosted on the OKCast website in an effort to build a working knowledge base for sensor journalism.

 

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Открытые бюджеты: что это такое и как их использовать? http://ru.okfn.org/2015/03/01/%d0%be%d1%82%d0%ba%d1%80%d1%8b%d1%82%d1%8b%d0%b5-%d0%b1%d1%8e%d0%b4%d0%b6%d0%b5%d1%82%d1%8b-%d1%87%d1%82%d0%be-%d1%8d%d1%82%d0%be-%d1%82%d0%b0%d0%ba%d0%be%d0%b5-%d0%b8-%d0%ba%d0%b0%d0%ba-%d0%b8%d1%85/ http://ru.okfn.org/2015/03/01/%d0%be%d1%82%d0%ba%d1%80%d1%8b%d1%82%d1%8b%d0%b5-%d0%b1%d1%8e%d0%b4%d0%b6%d0%b5%d1%82%d1%8b-%d1%87%d1%82%d0%be-%d1%8d%d1%82%d0%be-%d1%82%d0%b0%d0%ba%d0%be%d0%b5-%d0%b8-%d0%ba%d0%b0%d0%ba-%d0%b8%d1%85/#respond Sun, 01 Mar 2015 23:40:49 +0000 http://ru.okfn.org/?p=323 Для участия в конкурсе проектов BudgetApps мы решили пойти не по стандартному пути “создания истории” на основе открытых данных, а подготовить ресурс, который бы понятно и наглядно рассказывал о том, что такое открытые бюджеты, где их можно найти и как использовать.

Открытые бюджеты в России публикуются уже несколько лет, но до сих пор возникают проблемы с их восприятием и использованием: государственные служащие не всегда знают, как их правильно публиковать, эксперты и программисты имеют затруднения с пониманием данных бюджетов, граждане не знают отличий между “бюджетом для граждан” и “открытым бюджетом”.

Целью нашего проекта является решение вышеуказанных проблем, а также систематизация источников финансовых данных и предоставление небольших примеров использования данных бюджетов.

Например, с помощью прикрепленного алгоритма вы можете познакомиться со всеми источниками финансовых данных и определить, какие из них вам подходят.

На данный момент проект доступен по ссылке, находится в бета-версии и регулярно дополняется, поэтому, если вам сегодня кажется, что на нем размещено мало данных, завтра их станет больше :).

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Новости из мира открытых данных http://ru.okfn.org/2014/11/12/%d0%bd%d0%be%d0%b2%d0%be%d1%81%d1%82%d0%b8-%d0%b8%d0%b7-%d0%bc%d0%b8%d1%80%d0%b0-%d0%be%d1%82%d0%ba%d1%80%d1%8b%d1%82%d1%8b%d1%85-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85/ http://ru.okfn.org/2014/11/12/%d0%bd%d0%be%d0%b2%d0%be%d1%81%d1%82%d0%b8-%d0%b8%d0%b7-%d0%bc%d0%b8%d1%80%d0%b0-%d0%be%d1%82%d0%ba%d1%80%d1%8b%d1%82%d1%8b%d1%85-%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d1%85/#respond Wed, 12 Nov 2014 01:14:27 +0000 http://ru.okfn.org/?p=306 Всем привет!

вот вам свежая ноябрьская подборка интересностей из мира дата-журналистики и открытых знаний:

– еще можно заскочить на подножку бесплатного русскоязычного онлайн-курса “Визуализация. Основы
от Brainwashing.pro.

дата-вакансии в The Economist

 

– оплачиваемая стажировка от Красного Креста для дата-специалистов – 3 месяца, Женева

– а у наших друзей из “Открытой Лекции” тем временем прошла сегодня Открытая Лекция композитора Эдуарда Артемьева в Москве и готовятся сразу три лекции в Воронеже:

15-16 ноября.
Валерий Панюшкин,
Александр Сокуров,
Елизавета Глинка

Успейте зарегистрироваться

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Nicolas Kayser-Bril – on doing journalism in the digital era http://ru.okfn.org/2014/09/02/nicolas-kayser-bril-on-doing-journalism-in-the-digital-era/ http://ru.okfn.org/2014/09/02/nicolas-kayser-bril-on-doing-journalism-in-the-digital-era/#respond Tue, 02 Sep 2014 11:59:21 +0000 http://ru.okfn.org/?p=276 Journalism++ is an agency for data-driven storytelling. Started by three people, it is now a network of independent for-profit companies working from Berlin, Paris, Stockholm, Cologne, Amsterdam and Porto. They define journalism as ‘making interesting what is important’, not ‘making important what is interesting’. Winner of Data Journalism Awards 2014, the agency is famous for building data-driven web-apps, creating visualizations, and, last but not least, investigative journalism projects. How cool is that? We discuss it with a CEO and co-founder of J++, Nicolas Kayser-Bril. A self-taught programmer and journalist, Nicolas holds a degree in Media Economics. He is also investing in data journalism as instructor at massive open online courses taught in English and French.  

Nicolas, how did you decide that it’s a time to open a data journalism agency?

Before, together with Pierre (Pierre Romera, Chief Technology Officer and Developer at J++), we worked at the news start up called OWNI in Paris.

OWNI is a legendary French newsroom launched in April 2009, where Nicolas was a head of the data journalism team. It was focusing on technology, politics and culture and running on a non-profit economic model. Twice a winner of Online Journalism Awards, OWNI is probably most famous for  its cooperation with Wikileaks .Due to financial problems, OWNI was closed down on 21 December 2012.

As things at OWNI get worse, we left it at 2011 and wanted to keep working together. He is a developer, I am a journalist, so we looked for different newsrooms in Paris and London, who might be willing to hire us as a team. Some newsrooms told us: ok, you can come and work for us, but the developer is going to work with developers, and the journalist is going to work journalists, which we refused. So that’s why we created the company: it was more a plan B, but we just wanted to keep doing data journalism together.

Why did you open up in Berlin and how did the name come up?

The name was a nerdy joke: when you code and you add ‘++ ‘, it means that this variable is now equal to the value of the variable plus one, so basically ‘journalism ++’ means’ journalism equals journalism +1’. So, something more than just journalism. As for the city, again, it was not planned, but just happened. At that time I was living in Berlin, and Pierre was living in London. Since both Pierre and me are French, we first created a company in Paris due to the legal reasons, and we actually planned on going back in Paris. But at some point our Head Project Manager Anne-Lise Bouyer decided to move to Berlin, and we created this way of working between two cities. Now it’s seven people here.

But aside from seven people in the core team, you do have the branches. How did you develop this and what’s the rule to be accepted in the club?

This franchise program developed again kind of randomly. We knew Jens Finnas and Peter Grensund from Sweden, they were very good and we heard that they were going to open an agency. So we just told them, that it would be cool to have the same name, and to create this franchise concept. Since it worked really well with J++ Stockholm, we expanded to the other cities. The idea is to bring together the best data-driven journalists in every market, so we are looking for really good developers mostly, because we believe, that DDJ is really a technology thing. And then you need to come up with the concept, to show that you are not just doing things, but that you have a plan to create a company.  We do not want to make our brand kind of a label that we give or don’t give to people. This is more about creating the companies, because this makes you much stronger in your journalism investigations.

 

What’s you favourite own project so far?

Right now we are pivoting towards Detective.io.

Detective.io is an open-source tool developed by the Journalism++. It lets users to upload, store and mine the data you have on a precise topic. Therefore, it is a useful platform to host an investigation, be this done by journalists, lawyers or business intelligence. To start working, you need to download the source code and install Detective.io on your own server. Alternatively, you can do everything online on detective.io which is much simpler and exactly as safe. 

detective

We run some of our investigative projects to advertise this tool, such as The Migrant Files or the Belarus Networks (a database of connections within the Belarussian elite, to be published soon). Pushing Detective.io to the new markets, we invest in the investigative journalism as a field. We are also going to provide the customization services to this.

Before that there was something really cool that we did for the Arte at the beginning of this year. The special thing about this was that Arte came to us and said: we want to do something about the employment and the work situation of young people in Europe, so we did the project from the concept to the development. This was called World of Work.

Which is just another evidence of how many shapes can journalism take nowadays, since this project was a questionnaire?

Exactly, in this case we wanted the young people who would take the questionnaire  to ask themselves the questions about the work that they might not have asked themselves otherwise. It was 60 questions on various topics, and we pretended that it was a survey, but actually the idea was to make users think in new ways about their work situation. For instance, something that we did was to never talk about unemployment or employment, because we believe these categories never work for the younger generation. The reason I am very happy about this is that people who took the questionnaire told us that some of the questions they would never have asked themselves.  And this really made them think, and this precisely was the goal, even if we they did not realize that it was the goal that we had.

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Did you get a psychologist in the team for this project?

We hired a consulting from the advertising to create the atmosphere. Generally, it was a huge amount of research, and a multi-skilled team including developer and designer. But the ‘other’ skill we had to put to the project was from advertising because it’s surprisingly hard to write for 22-30 years group and to find the questions that were interesting for the user and relevant for the project.

 

What are currently your favourite tools?

Apart from Detective.io, when it comes to simple visualizations I use Datawrapper (another project of J++, which is run by J++ Cologne) or Chartbuilder (project by Quartz). You have so many tools, and also it really depends from project to project, for example right now we do social network visualization, so we use Gephi a lot – open source social network analysis software.

What would advice to people who want to promote DDJ in Russia?

You have lots of the agencies doing cool stuff there, and I think it’s important to have good developers who understand something about journalism, and that’s how you can have the good ideas, because otherwise you would just mimic what’s happening in the other countries, but that’s not the point.  The point is to leverage technology, to bring something new to the field. And in this case either you learn how to code or you find a developer.

 

That said, data driven journalism sometimes looks like an inner thing, a nerdy direction of journalism. Do you think it can become a mainstream?

What you say is especially true, with what was created in the US this year, like Upshot,Vox and 538, and I agree, it might shift the definition of DDJ to the nerdy field. But if you consider the data journalism as a journalism which could not be done without a computer – which is the definitions I favour – then you can do anything. Like in the project  ‘World of work’ I was referring to: what’s special about this, is that it has been done by journalists working with developers.  But as a user, you don’t realize it. And that’s what we should aim at.

 

Is then data journalism something that we have been known before, under different names, like computer-assisted reporting, or there’s something particularly new about the data journalism as we know it today?

It’s true that using computers for journalism is nothing new, same thing with visualization of data, but what’s new, especially in Europe is that people in the newsrooms have realized that they need some math to do their work. Before if you wanted to do a piece of computer assisted reporting, you needed to have a statistician, you had to go out and rent computer, and computer time was extremely expensive. Now you can do same kind of analysis in a few hours for 0 euros. And then anyone can do it and publish. And there is also another aspect: the term ‘online journalism’ has been hijacked by the people doing copy paste journalism. So that’s also one of the main reasons why data journalism is fashionable now: it means doing journalism online in a different way than it was done for the past 10 years.

 

The profession of journalism as a whole is very much shifting nowadays, where so many things of journalism are being done by citizen journalists or bloggers, and in the same time the ‘real’ journalists have to acquire the skills they were never asked before. As a self-taught journalist, what is your stake on this?

That’s a very interesting topic and we might talk about it a few hours. The definition of journalism or who the journalist was before the digitalization of content was really a definition by the means. The journalist was the person who had access to the means of publication or broadcast. And that’s why the anchor on Russian TV is a journalist even if she’s just repeating what the government wants her to say. And the investigative journalist at the New York Times is also a journalist, because they both have access to the means of communication to the public. And this concept doesn’t exist anymore.

Now everybody can publish. And what you see, when it was Ben Laden assassination, you had this guy in Pakistan, he had no contact to any media outlet whatsoever, he just published a couple of tweets and then he was for a few minutes the leading news source on the topic.

Take another example, at Aurora shooting in Colorado, when there was this guy dressed as Superman who came to the movie theatre in Denver, Colorado, and shooted everyone, and  for the first 10-12 hours the main source of information was this teenager in his room close to the shooting. It was at night, so it took like 10 hours for the TV stations to come on location, and during this time he was the one checking the information and just doing journalism. And when he was asked why he did it, he just said: I thought it was needed.

Next, there was a visualization with all the drones strike, it was just a nice visualization, there was no breaking news, it was more like a cold journalism thing. But it became extremely successful, and again, the reason behind it, as the author said – this story has not been told, I though it needs to be told.

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What all these things have in common, is adding value to the information in the public interest. And I think, this is what constitutes journalism today. If you are working full time in the news room writing articles or presenting the news at the TV, I would call it not journalism but information professional.

That’s why I define journalism not by the occupation of the people who do it, but really by the goal, telling info in the public interest. And anybody can do the act of journalism.

 

 

 

Team photo: © Marion Kotlarski/Journalism++

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Friedrich Lindenberg – on building civic technologies http://ru.okfn.org/2014/08/05/friedrich-lindenberg-on-building-civic-technologies/ http://ru.okfn.org/2014/08/05/friedrich-lindenberg-on-building-civic-technologies/#respond Tue, 05 Aug 2014 18:02:11 +0000 http://ru.okfn.org/?p=267 With a background in media studies, Friedrich Lindenberg, works at the junction of software development, data journalism and open data.

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in 2013, Friedrich was a part of the Knight-Mozilla OpenNews program (check the OpenNews call for the next year! http://opennews.org/fellowships/apply.html) and spent the year working as a news technologist and data journalist at Spiegel Online, Germany’s largest online news portal.

Working for the Open Knowledge Foundation, Lindenberg co-founded the OpenSpending project. Launched in 2011, it merged the data on UK and Germany only – however, today citizen of 70 countries can  learn how their tax money are being spent. https://openspending.org/

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Working in these and many other projects, Friedrich, as well as his colleagues, realized that journalists, civic technologists and NGOs are facing some of the same problems. Developing data-catalogues with tools to visualize and analyse it, or services to send FOI requests to government – are all quite new routes, so there is no safe way for the moment.

However, collecting all ‘do’s’ and ‘don’ts’ at one place might be quite a helpful thing to do. This was the idea that came up during the CodeCamp organized by International Center for Journalists (ICFJ) from 19 to 30 May 2014.

And this is how the project CivicPatterns was created, where the software developers and technologists working with citizen engagement apps tried to translate all the experience to the language of patterns.

http://civicpatterns.org/

Now, the website uses the so called ‘pattern language’. It was developed by the Austrian architect Christopher Alexander, however, its use went far behind the architecture field. The core of the pattern language can be put as this: ‘each pattern describes a problem that occurs over and over again in our environment, and then describes the core of the solution to that problem, in such a way that you can use this solution a million times over, without ever doing it the same way twice’ (c) Christopher Alexander. Hence, this pattern set will empower everyone to take part in the design and the development of the project.

You can read more on the pattern language here: http://en.wikipedia.org/wiki/Pattern_language

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And now, more on CivicPatterns from Friedrich Lindenberg – exclusively for OKFN Russia & Datadrivenjournalism.ru

–  How did the idea of the Civic Patterns project arise? Did it come through the discussions during the ‘CodeCamp for the Globe’ or it has been long in your head before?

– I’ve really liked the idea of design patterns and pattern languages since I first learned about them a few years ago. They’re a great method to think about complex systems (whether they are cities, software or society) in a structured way.

The real inspiration for CivicPatterns, however, was seeing what doesn’t work. People have realized that civic technology projects are being done in many countries and that there’s a need to share experiences. So, many initiatives have now started civic app catalogues where they list existing tools and projects. I don’t really browse them, and not many people seem to. So maybe such catalogues aren’t actually a good way to share knowledge about how to design civic technology. That’s how we came up with CivicPatterns, by asking: how can initiatives share something useful, even if they use different technologies?

In the CodeCamp, we had been loosely discussing the idea over lunch for most of the week, and then during the last day of the camp we wrote most of teh patterns in a two-hour brainstorm.

 – What are, according to your experience, the most common pitfalls of journalists’ teams and which 3 patterns are the most useful for them, in your opinion?
 –  I think the biggest thing for journalists is getting into a mindset of service delivery, rather than storytelling. On the web, you can easily provide a useful service along with your story. Imagine you’re writing about corrupt medical doctors – if you have the right data, you could include a lookup that allows readers to see if their doctor is known to have taken bribes. I think for journalists – as for anyone it’s important to have a clear outcome in mind (“Think Backwards”), to be creative in getting information (“Don’t wait, scrape”), and to translate technical language into something people can understand (“Human language”).

– How active is the project since then? Did you get contributions from the other people aside from your initial team?

 – We soon found out that there was also a group in the US, with the Code for America initiative, that had already started such a catalogue. We’re now going to merge the two lists and hopefully soon find some time to extend the existing patterns with descriptions and examples.

For instance, there is a Pattern ‘Eat Your Own Dog Food’ which says – ‘but don’t only eat dog food’. It

actually comes from Microsoft and just means “consume the stuff that you’re producing so you can be your own tester”. I think a funny title makes these patterns easier to remember, but obviously we still need an explanation for newcomers. And here is where we need help: people who agree with some of the ideas and want to add descriptions and examples; but more than that: people who disagree, who think that the approaches that we’re laying out are bad ideas. Come join our discussion on the page and on GitHub!

For the Russian version of the article & interview, please visit: http://datadrivenjournalism.ru/2014/08/05/lindenberg/

Фото (C) Stefan Gehrke, CC BY 3.

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