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Monétisation des données ouvertes

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Peut-on créer de la valeur avec l'open data ? Comprendre la valorisation commerciale de l'open data. The Search for the Value of Data. A thought provoking article, at O’Reilly’s Radar blog is set to change the general view about how we look at APIs and the data that they expose. Data or content is getting more valuable and the need to get access to data being held by the API publisher is more or likely going to undergo severe pressure thereby unlocking the true value of data.

In The Black Market of Data Jud Valeski clearly lays the ground for why the market came to be. APIs have largely been the driving force behind thousands of mashups and innovative applications created over the past few years. The underlying force has been the data that has been exposed by the publishers API and consumed by applications that needed it. Data is King and both the API publisher and API consumer are clearly aware of that.

Valeski lists down three players in the game: API Publishers are very clear in the terms about not exposing private data to API consumers. So what could be a solution to this problem? Data as a Service: Pricing Models for the Future of Data. This guest post comes from Pete Soderling, founder and CEO of Stratus Security Technologies and founder and CEO of mechanikal, a software development agency. Arguably, Salesforce.com brought the software-as-a-service (SaaS) concept mainstream. Today, if software isn’t available as a service, it’s considered old school. But software — as a service or not — is just a container. What makes software valuable has always been what it does to data.

Now, in the same spirit of service-oriented architectures and SaaS, a new concept is emerging, Data-as-a-Service (DaaS). DaaS is delivering specific, valuable data on demand. What’s exciting about the DaaS model is that it enables any enterprise with valuable data – not just traditional data providers such as Hoover’s – to create new revenue lines based on data they already own. DaaS Pricing Models Based on market research we’ve conducted, companies are converging around DaaS pricing models based on tiered access to the data. Open Knowledge Foundation Blog » Blog Archive » The Business of Open Data. The following guest post is from Hjalmar Gislason, an open data activist, member of the Open Knowledge Foundation’s Working Group on EU Open Data, and founder of structured data start-up, DataMarket.

The rise of Open Data in the last 3-4 years is no news to anybody reading this blog. More and more public organizations are buying into the idea, governments are running each other over in setting up data portals and leading intellectual magazines and newspapers have devoted special reports to this rising trend. However, we still do not have a lot to show for it. Yes, there has been some innovation. Yes, corruption has been discovered. Yes, there are examples of data journalism where improved access to data has brought new insights. As Gartner analyst Andrea Di Malio recently put it “It is time to move open government from being good to being useful Unleashing the Value of Open Data The Business of Open Data My company – DataMarket – is working on exactly this. Open Knowledge Foundation Blog » Blog Archive » Sustaining open data business.

Jo Walsh, who works as a project manager at EDINA and sits on the Open Knowledge Foundation board, writes: These thoughts on sustaining open data business were provoked by ORCID, a not-for-profit business set up by a group of large academic publishers and a few leading universities. Its aim is to provide a central directory of researchers, with profiles describing them. ORCID is committing to provide open source software but not necessarily open data – offering some limited “non-commercial” activity of the service.

Researchers can open their data by “claiming” it but what volume of them are going to do that? I want to illustrate that it is perfectly possible, if not necessary, to support a business publishing open data. Charge for quality – as geonames.org offer a cleaned up better authoritative version of a somewhat crowdsourced databaseCharge for high volume – as SimpleGeo offer 10K per day calls to the service and charge a small fee after that. Quatre pistes pour gagner de l'argent avec l'open data, Technologies. Quatre pistes pour gagner de l'argent avec l'open data, Technologies. Aladin Mekki et Julie Rieg - Open data : don, redevance ou vente ? Le STIF, qui organise les transports publics franciliens, vend très cher les données relatives aux transports dont il a la charge (entre 12.000 et 200.000 euros selon les fichiers concernés).

Pourtant, les réutilisateurs de ces données sont souvent de petites structures qui n'ont pas les moyens de les acheter, rappelait Angel Talamona, PDG de Senda lors du salon i-expo*. Faut-il pour autant leur remettre ces données gratuitement ? Est-il possible de définir des systèmes d'achat différenciés selon le type d'acteurs ? Du don à la redevance La gratuité n'est en aucun cas imposée par la loi. Si ce système permet aux acteurs publics de couvrir leurs coûts, il ne doit pas oublier de favoriser la réutilisation des données, donc de demander des redevances abordables.

Le système actuel traite uniformément tous les acteurs. Échange données contre externalités Si les acteurs publics essuient un coût fixe à libérer les données, ils en récupèrent tout de même une partie sous formes d'externalités.