Partners worldwide are leveraging the Open Data as a Service platform to rapidly deliver new applications for Open Data and Smart City. “Open Data” has traditionally been associated with government transparency initiatives, or the publication of information related to how government operates. More and more governments however, together with the private companies that serve them, have discovered that there is a wealth of information trapped in both public and private data silos. And that combining and publishing these data sets unleashes creative new uses and value – for themselves, their constituencies, and their customers.
Most analysts would agree that data collection serves a higher purpose – to illustrate a trend and to create an action. Data in a silo are just numbers on a page. While collating and sharing the data is a good start, making it accessible is even better. And this is why looks matter when it comes to your data.
Across the world, citizens are standing up to demand greater transparency and accountability from their governments, and governments are listening. Officials are making data public to allow for better public oversight of their activities. But where do officials and IT professionals begin? Launching an open data initiative requires time, effort, and financial resources to ensure it’s successful as well as utilized by the public.
Relax, this article provides an introduction to open government, why it’s important, what impact open government initiatives have on governments and best practices for opening up government data so your project succeeds and provides value to government and citizens.
Low-cost sensors, mobile apps, and open data platforms are helping citizens, researchers and policy-makers alike better understand the nature, impact and state of air quality around the corner and around the globe.
Data transparency can be a good thing, especially if you’re a government agency. We’re in the digital information age, where the “why” behind any civic and corporate action is increasingly scrutinized and commented upon, often on social media.
One of the key moments of the global Open Data movement has been Tim Berners Lee’s 2009 presentation in which he described his view for web of linked data. This soon lead to the formalization of the 5 star rating system encouraging people to not only share their data, but share them in an open, structured and linked manner so that they become fully machine readable. With 5 star open data, systems exchange data with one another and provide all the necessary context to interpret these data.
Back in December, OpenDataSoft took part in the Open Government Partnership 2016 Global Summit. You can take a look at our recap of that event here. While attending, we had the opportunity to speak with Data Pop Alliance co-founder and Director, Emmanuel Letouzé about Open Data, Big Data, Data Science, and Algorithms, four very different subjects yet which seem to have some connection. Data-Pop Alliance is a global coalition on Big Data and development created by the Harvard Humanitarian Initiative (HHI), MIT Media Lab, the Overseas Development Institute (ODI), and recently the Flowminder Foundation. The Alliance works to “promote a people-centered Big Data Revolution through collaborative research, capacity building, and community engagement.”
Managing data across multiple legacy platforms can be incredibly messy. Large enterprise organizations have traditionally struggled to collate and warehouse exponential volumes of data. Complex inoperable systems can make for a snarl of information that typically requires a team of expert data scientists to make sense of all the conflicting formats and complex interfaces. But does data processing need to be that hard? You guessed it right: simplifying data processing may be easier than you think.
When data specialists talk about digitally stored information, they emphasize the value it brings to organizations. For the public sector, the value could be discovering how a program is performing or whether citizens are really getting the most out of services. However, data isn’t useful if it’s trapped in silos. Compartmentalizing information prevents initiatives from getting off the ground which could benefit the public. How many times have you seen proposals fall apart or reports criticized because they didn’t include the right data?
Open data is digital information that is licensed in a way that it is available to anyone, with just a few stipulations. The data is typically either public, open, or attributed. Any data or content that is free to use and distributed falls under the idea of open data. Let’s dive deeper and answer this question: what is open data?