You say, This photograph, it's about it depicts this person. Bing! That's data. Data, data, data.

And it's because I'm giving you critical data about me.

Metadata is data about data .

We could talk about government data, enterprise data is really important, there's scientific data, there's personal data, there's weather data, there's data about events, there's data about talks, and there's news and there's all kinds of stuff.

That would correspond to about 50 megabytes of data, which is small when you think about the data we can handle today just on normal mobile devices.

Metadata is defined as data about data. Metadata is definitional data that provides information about or documentation of other data managed within an application or environment.

For 60,000 available data packets, the success probability is about 80 and for 85,000 data packets about 95 .

It is important to note that this standard refers to metadata as the data about containers of the data and not to metadata (metacontent) as the data about the data contents.

All this data about you should just be conveyed, and you should do it once and that's all that should happen.

So it is with data. I could talk about all kinds of data.

It's about a year's worth of data.

Let's think about data for a bit.

In fact, data is about our lives.

And so we don't have data to show you on this front, but we're very excited about this.

You have data, and data in neuroscience is sensory input.

What do you mean, data ? What's the difference documents, data?

So what can scientists learn about this data?

Key users were consulted about their data needs .

Key users were consulted about their data needs and producers about production constraints .

Here you see the data.

You know, a data network.

And that is what linked data is all about.

The database currently contains data for about 4000 languages.

According to Steve Hoberman, data modeling is the process of learning about the data, and the data model is the end result of the data modeling process.

So if you pull the data from dbpedia about Berlin, you'll end up pulling up these other things as well.

Did you know that data existed?

In general, when we talk about open data or the opening of data, we are talking about government data, under the concept that the collection and administration of this data is done with public money and therefore it belongs to everyone.

The key is, when you look at these variables and you look at this data, you have to understand the data inputs.

Data is often better than you think. Many people say data is bad.

And I know 200, I know about the small data.

Other data has the music industry at about 45,000 people.

The discussion is all about images on the computer, data.

The first credible data about Bilbao population are post 1550.

You can see this in the data.

Tim Berners Lee Can you say data ?

You read about it, you hear about it.

I've only told you a very small number of things There are data in every aspect of our lives, every aspect of work and pleasure, and it's not just about the number of places where data comes, it's about connecting it together.

It's kind of like Irene talking about Google being data driven.

Not just for transparency, yeah transparency in government is important, but that data this is the data from all the government departments Think about how much of that data is about how life is lived in America.

Now, I know you all love data, so I'm starting with a data rich slide.

Okay, here's two theories about how people might think about this, and then we'll see some data.

What are you thinking about? I'm thinking about you.

So I want us now to think about not just two pieces of data being connected, or six like he did, but I want to think about a world where everybody has put data on the web and so virtually everything you can imagine is on the web and then calling that linked data.

Because what can you do with that data?

Can you guess what this data set is?