[Per Pionero] Open Big Data: retroscena sugli Open Data della Big Data Challenge

Qualche settimana fa ho pubblicato su Pionero un primo resoconto sull’apertura dei dati del Big Data Challenge di Telecom Italia, ora segnalato anche sull’ePSI Platform.
Il tema sarà oggetto di altri approfondimenti, ma intanto questo è un ottimo spuntino dal quale partire :)

Non è la prima volta che il tema dei Big Data è oggetto di approfondimenti in questa testata, e la stessa cosa vale per il tema degli Open Data. Capire poi quando e se questi due argomenti si tocchino, è oggetto di discussioni ed incompresioni anche in giro per la Rete.

Ora però, è tempo di sfatare un mito: questi due insiemi si parlano davvero, e non solo potenzialmente.
Ora ci sono alcuni datasets “Big Data” rilasciati come Open Data, e riutilizzabili per qualsiasi scopo, liberamente. Sono diventati qualcosa che abbiamo chiamato “Open Big Data”.

Infatti lo scorso dicembre sono stati pubblicati come Open Data la maggior parte dei dati usati all’interno del contest “Big Data Challenge”, il contest promosso da Telecom Italia e da una rete di partners variegata, agli inizi del 2014.

Vi racconto qualche aneddoto di questa operazione sia come attivista del mondo Open Data, che come insider, visto che questa operazione è il frutto di una collaborazione tra tre attori diversi:

Continua la lettura su Pionero:
-> Open Big Data: retroscena sugli Open Data della Big Data Challenge

[Per ePSI Platform] Making Open Data ‘sexier and more attractive': Christmas is coming

Making the overall Open Data ecosystem more useful and accessible isn’t only a technological issue. If we publish only Linked Open Data stuff out there, we aren’t solving the problem at all.

We need to think about the overall user experience, and more about our potential users, our data remixers. And, on the other hand, how we can make this concept of remixing data visible on mainstream channels?

We need two different things: firstly, be sexier and easier to understand. And secondly, be closer to the people real agenda settings.

The starting point is having more context around data: not only speaking about the contextual geographic information system. I’m speaking about merging different worlds, and different data silos, hiding the way you’re doing that. From mobility data, to Internet of Things sensors data. Citing an article published on GigaOm:

“So while it is true that we have access to more information than ever before, we are not experts on every subject. Thus, it is very difficult to digest it. My concern is that over-information the new way of hiding information. The best way to fight mainstream media disinformation is to demand more context for all the data: we need the “fact-checking journalism” promoted by sites like Gapminder or Open Knowledge. Visualizing.org strives to make sense of issues through data and design with a collection site where designers and all sorts of organizations can upload and share open data sets”.

Demanding more context from our information systems means finding better ways to have the information that we are really looking for. Querying Open Data portals with only one click, for example, improves the usability and the overall user experience. Hiding this querying process another step in the right direction, like Google has done with its Knowledge Graph concept. I’ve also seen some signals during my daily job: [full disclosure: I’m the community manager at SpazioDati]

[Per ePSI Platform] Emergence and Open Data: the chaotic Italian Open Data movement

Years ago I read a beautiful book, written by Steven Johnson, titled “Emergence: The Connected Lives of Ants, Brains, Cities, and Software”

I found it very insightful, with some ideas of what are now common modern day concepts (such as crowdsourcing or collective intelligence) being explained in a clear and documented way. The main concept was the following, taken from Wikipedia:

Emergence refers to the ability of low-level components of a system or community to self-organize into a higher-level system of sophistication and awareness. Johnson notes that this self-reorganizing stems from the bottom up rather than directed by an external control factor. Johnson gives examples of feedback, self-organization and adaptive learning.

Sometimes, when thinking of how Italy is managing the overall Open Government process, I’m convinced that we are a good example of a chaotic emergence system (yes, I know, I’m optimistic). There are some good signals, but only a few.

Continua a leggere [Per ePSI Platform] Emergence and Open Data: the chaotic Italian Open Data movement