Hello.

The two of us are starting

a level on a side-effect
or side-project or whatever,

something which 
is loosely connected to Wikidata,

which is open data

and we're glad to see you're here.

I'm Alice Wiegand.

I'm the project lead for open data
in the municipality of Düsseldorf,

and this is Knut Huhne, who is a student.

You may introduce yourself.

Yeah, I'm a software developer by day,

and in my spare time
I do a lot of work at Code for Germany,

which is in community organization
that I'll talk a bit about,

and we try to build civic tech tools 
based on open data.

Yeah, that's exactly what we need.

And so let's see where we are [on this].

[inaudible]

So if we talk about open government data,

this is something where I think

the entire world is much more forward

than Europe and especially Germany is.

But in Germany,
where we both come from and live,

this is getting some dynamics 
because laws are changing.

And overall, we have just data
which is used, produced,

and cared

and maintained by government,

which is just a reliable data source,

and it's official data with a high value,

and it is sometimes 
really surprising to see

what kind of data there is,
openly kind of published.

So this is, for example...

I hope it opens soon.

This, for example, is...

it's the measure of radioactivity in kale.

And I think it's surprising,

I wonder why is it kale 
and not red cabbage?

And I wonder why is this a fixed date?

You know, 20th of November in 2013.

And I wonder why is it that far away?

What are we doing 
with radioactivity in kale today?

I don't know.

So you find a lot 
of these surprising things

when you start to...

What have I to do, do you know?

...when you start to 
look at open data in Germany.

I'm confused with this computer.

Oh, yes. Thanks.

Yeah, and this data usually is up to date.

Well, it should be, of course.

As in all data, we have our gaps there.

And overall if I just look 
on the region I know best,

we have 86

of singular portals 
with open data within Germany,

which is on municipality level,
on the country level,

on the federal country level, 
and on state level.

And in Austria, it's 19;
and in Switzerland, it's 6,

and numbers are growing.

So, of course, also,
question is why are we all doing

the same thing on different places?

It doesn't seem to be that efficient,

I'm not sure, but this is how
our world today works.

So now I find the right key, thanks.

And there are a lot of challenges
which we have to face

and kind of a huge gap 
between wish and reality.

So, after all, I do think there is a huge,

you know, kind of [friendliness]

between open data and Wikidata.

It's all about essential data.

It is about being as actual 
or being as up to date as possible.

But in the end, when we look
at the open data platforms

in mostly Europe,

we find incompatible licenses.

So usually mainly municipalities

choose a BY license,

because they think it would be good
to know where this data came from

and to be named there.

And this is really a crazy thing.

I looked at open data portals,

and we have a portal in Düsseldorf 
for two years now

and by design, we choose the 0 license.

And I found that open data in Zurich--

Okay, it's not Germany, but it's Zurich--

and they are doing 
a lot of cool stuff there as well.

And they also use the 0 license.

But usually municipalities
like CC BY licenses, sadly.

And another thing we have to face

is that, especially in municipalities,
this kind of task to publish

this internal data 
on a free and open license,

on a platform, wherever,

is just given to a person 
who usually does something else.

So it's not, you know, a 100 person task

for this person to do,

but something to do, you know,
with all the other things.

Overall, I think we can say

that of course there are people
who are really doing a great job.

Usually, we don't find 
that level of expertise

on data analysis and data management

that we would need to
to really find high-quality data

within the open data 
which comes from governances.

And I think this is a problem,

and I realized also
that there's a language issue.

So if I just think about 
putting my colleagues into this room,

into the session we had just before, 
about data quality,

it would be problematic 
to find a common language,

to figure out how we can start
to improve our data quality

so that Wikidata's data quality
is also improved.

Another thing 
is that we have no standards

in the name of anthologies,

in the name of how we prepare data.

There is a metadata standard,
which is great,

but this, after all, does not mean
that we all do the same thing

and that we find the same kind of data,

just because it is named in the same way.

But, overall, it's a lot of official data.

You can get from open data.

I made an example here
which is about street names,

and usually you find a lot

of different forms and street names.

Sometimes something like the Karlsplatz

it's written with a C, 
or with a K, or separated,

and sometimes this is also developing

over the time.

And in the end, there's just
only one official name

of a place or of a street,

and it's the municipality 
which can give you that name.

And this part, like a list
of official street names

is something which is regularly published

by a lot of municipalities 
in their open data portals.

And I think that at all 
is a good start to figure out

what we can do with this 
in Wikidata as well.

So this is my short introduction,

and I'm happy to hear about
community work with open data.

Yeah, I thought I would just kind of give
a quick introduction from the other side,

of movement from the community side.

So, as I said, I work in my spare time

for an organization
called Code for Germany.

We've been running since about five years

where we have labs, 
that is groups of people

that meet once a week,
some once a month in Germany

in local, what we call labs.

And we try to build tools
that somehow make it easier

for people to participate in politics,

to get an understanding 
of the environment around them,

to collect data about air pollution.

And, of course, we'd like to use

governmentally provided
open data for that,

but we've also realized
that there's difficulties with that,

that sometimes the data isn't there,
it's under a difficult license,

which is kind of how we found our way 
to Wikidata also, I think.

We also happened to meet in Berlin

in the offices of Wikimedia Deutschland,

so this kind of brought us
very close to Wikidata.

And I think it's cool to see

that we're kind of strengthening
the relationship

between the Wikidata community in Germany 
and the Code for Germany community.

We also would like to work 
even closer with the government,

but talking about bridging gaps.

I mean, there's very basic problems 
such as us meeting after we work

and the people for the government 
wanting to meet when they work.

So I think when we think about 
how these communities can work together,

there's very mundane things,
such as working times,

that we need to keep in mind.

So just a quick introduction 
to what we do at Code for Germany

especially with regards to Wikidata.

We've had a couple of hackathons now
within the last years

where people from the Wikidata community

and the Code for Germany community

kind of came together to meet

and just spend a weekend
to work on Wikidata.

And we've done
all kinds of different things.

We've usually been very interested
in political data,

so we've been importing a lot of data

regarding politicians 
and regarding elections.

We've thought about how to model
election data in Wikidata a lot

and we've also had a lot of people
that built games with Wikidata.

One of the nice examples for this

would be the Wikidata card game, 
where you can put in any Q number

and you get a nice trading card game.

You might have seen that.

If not, I encourage you to look for that.

I think that's a really cool way
to sell Wikidata to other people.

Selling-- this is also 
something that we've realized

when we talk to data providers,

that often they're quite scared 
to give data to you

with the traditional argument

of "Our data is so complicated, 
you won't understand it,

and you'll build bad applications
that will make us look bad."

And our strategy usually
is to just take the data anyway,

build an application share it with them,
and then their response is usually,

"Oh, this is pretty cool. 
Can we link to that from our website?"

And then, at some point,

maybe you can start having
a discussion with them.

But, yeah, I think this is kind
of what we can do as a community.

We can build little small games
and tools to showcase.

Okay, there is Wikidata,
and it's pretty cool,

and you have open data,
and we can build cool things with it,

but you'll need to give it to us,

you'll need to publish it 
under a license that we can work with.

And this is one of the things 
that we try to do at Code for Germany.

[inaudible], thanks.

(applause)

Yeah, thank you.

Before we open 
the room for questions from you,

we would like to just open
or ask some questions to you.

I think that Knut has really described

the challenges we face quite well.

But, still, I do think there's a lot
of opportunities in these data,

and we just need to kind of harvest it
better than we do it right now.

And so my questions--
and maybe it helps you a bit

to think about that-- 
is how could we integrate

more open government data 
into Wikidata in a more structured way.

Just keeping in mind that the people 
who are kind of providing these data

are not the experts you may expect.

And at the same time,

there already is a WikiProject, 
open government data,

and I'm not sure if you, Christina
had opened it quite a while ago.

And I wonder in which way we can

kind of reanimate it 
and make the best out of it

because we still have this place,
and we have people

who are engaged
in the municipalities, in governments,

to open up data.

And maybe it's an opportunity

to just match these different

languages and expectations.

So, yeah, I'm open
for any ideas to do that,

and I'm happy to engage
a bit in that as well.

So, questions?

(person 1) Hi, thank you, guys.

Maybe an idea is one

we could be taking
from the Wikipedia beginnings,

where I think it was Matthias Schindler,

who started
with his Content Liberation Army.

And the idea that,
you know, you have to really go in,

and the data is there.

But for example, 
I had a project with a student

where we were looking

at where the trees
are geolocated in Berlin,

and this is sometimes on paper,
it's sometimes on a stupid database.

We were accused of being terrorists

by the people who didn't want
to give us the data.

We had to get really, really 
picky about this and point to the laws

saying, "This is open data, 
and you have to give it to us."

but we have to sort of go in friendly,
as you were saying

and try and explain to them
what they will have from it.

Many of them don't see
that they have a use of it

because it's more work for them
having to deal with us.

I think that's one
of the main kind of fears

which is there are coming people
who are just putting more work onto us.

And at the same time,
there's so little understanding

that this is just part
of what they are doing already.

And that they can really also

learn and get a lot of input

from the people 
who are asking about that data.

But this is really culture change,

a cultural change 
especially here in Germany.

So we are working on it.

We are working hard,
but it's really kind of a tough thing.

- Maybe I can add? 
- Yes.

I think what's also 
really interesting to see

from the community's perspective

is that when we talk to different cities,

it so depends on who happens
to work in the cities.

Like we have this very small city of Moers

that is very unknown,

but if you talk to people
in the open data community,

everyone will know it

because they happen to pay someone
to do work on open data.

And when I talk to people
from the government in Berlin,

they tell me, "Okay, I now know
I have to publish open data,

but I don't know how, for whom, or why.

And I think this is actually

a chance for the smaller cities
to kind of champion this idea

because it's so much easier for them

to kind of get a movement 
and to liberate some data

where if we talk in Berlin,
we always need to talk to 12 districts,

and they'll never align 
on what data they want to publish.

(person 2) And we have a remote comment

from Beat Estermann

who wants to point out
he has some links in Etherpad

about "Interest in open government data 
helps Swiss authorities

prioritize base registers
and controlled vocabularies."

And I'm told he just came in

while I'm reading his Etherpad entry.

So if you could just take the mic from me.

(person 2) Go on.

(Beat) Okay, thank you.

I missed the first introduction.

What did you start on?

- (person 2) I was just reading--
- (Beat) Oh, you were reading. Okay.

So we're currently running--

In Switzerland, we're running a survey

to kind of prioritize data
from within the government.

There are like base registers
or controlled vocabularies.

Because we think 
that they would be crucial

to actually promote and boost 
the publication of linked open data

across the public authorities,

so we're running a server 
to prioritize them.

And for some authorities 
to know which ones to publish now

and for others--

for the community to know 
where to put pressure on

and how to actually,

yeah, argue why they should publish it.

We're also collecting use cases.

I posted the link to the Etherpad.

It's in German and French only,
the questionnaires.

I'm sorry we're still not like up

five language count here,
but you said four languages-

(person 3) Just switch to English.

(Beat) Yeah, we could switch
to English, right.

Yeah, so that's one point.

The other point I think is we could...

and I'll put a little bit more love

into kind of documenting
the whole Wiki project,

open common data,

and that's something
we're not really doing

if you compare it 
to what is going on in GLAM.

I think that is definitely something

which I probably will try to figure out

after my vacation time,

which is starting on Monday.

There is this WikiProject,

and we need to figure out
who is interested in it

what can we do there,

and how can we motivate people

from kind of [out] the Wikidata community

to add this important information to that.

So I do think there is a huge opportunity

to figure out how we can include

more of this really, really valuable 
and reliable data into Wikidata.

But overall, there's a lot
of challenges as well,

and still it's kind of
a different crowd of people,

and we need to figure out
how to bring them together.

Any idea is welcome.

(Beat) Yeah, there is another point

which we're currently not focusing on

with this base register
and vocabulary thing.

But what I have had as a request

is to be able 
to actually store tabular data

and to be able to pull it.

Because it does not make sense

to put like 200 years 
of population statistics from Zurich

into that Wikidata item for Zurich.

Maybe I just pick it up 
and just an anecdote from my day work.

So I started to introduce Wikidata
to my colleagues.

We are a small team doing open data,

and it was fine, 
and they were really, really interested,

but in the end we started 
to add some of the population dates,

and then, you know, there isn't any order.

So it's so hard to figure out 
if you find a population date

for year Y or X or something,
and if it is still missing.

So, of course,
there are still a lot of things

to improve in Wikidata as well,

and tabular data could be one of it also.

(person 4) [inaudible] Is it working?

I have a comment on the tabular data.

I remember we had also discussions

with a canton and the city
of Zurich about this,

and that it might make sense to start

discussions on whether
we should maybe consider

setting up a Wikibase
for open governmental data

and having such kind of datasets

and then link them to Wikidata
or link them from Wikidata to them,

because mostly 
the linked open data technology

is actually enabling that

and is one of the key advantages 
of this technology.

It is, of course, something 
that doesn't relate only to OGD data,

it's a global divide 
in the whole Wikidata community.

Because the larger we make
the central endpoint or the graph

the more difficult it is to handle it--
I think we all agree on that.

So I think there should be
a deeper conversation and discussion

on whether we should
start building this network.

Well, actually, there is already
a network of Wikibases.

We also work in the university
with publications and research data

with our own Wikibase.

Yeah, and then another comment 
about the Wiki projects.

So we continued working
and documenting the materials

of the events,

so we actually now have
two upcoming events in November.

We have a full weekend 
technical training on Wikidata

in collaboration 
with the open data Zurich people

and the canton of Zurich,

and also Wikimedia Switzerland,
and we have a hackathon.

But I totally agree that it would be great

to start having conversations
with all the participants

that have been listed already
in the project,

and start more discussions,

especially with all the countries
that have many good initiatives,

like Germany, like what you described

and start documenting

what are the specific needs
of these institutions,

what are the problems,

and what specific tools
we need to develop, or procedures,

that we can help them import
or link data in Wikidata.

I think we're out of time.
One last question.

(person 5) So a proposal 
to use Wikibase for that?

I'm not sure whether
that actually would solve

this tabular data problem.

And when thinking of statistical data,
like population data,

that is not data
that we want to really edit,

that's data we just want to consume.

So it means we have to ask ourselves

whether we want to build in
the capability to actually pull data

directly from external third-party
SPARQL endpoints,

and not just from
within this Wikibase ecosystem

that we're planning to build up as well.

(person 4) So I agree
that it doesn't solve the tabular data,

but what I was trying to say

is that the information
that is more specific,

it might be the case that we want 
to export it to something else

and I see Wikibase also
as a very good data modeling example.

So not only because you want 
to have humans editing,

but also because the whole data modeling 
happening in Wikidata

with all the qualifiers and references

adds a lot to all the datasets.

So if we would do it from scratch in RDF

we would be missing these features

that Wikidata has, 
and I see it has an advantage.

So that was a reason why I mentioned

that it would be very helpful
to maybe think of

for the Wikibases around the OGD data.

(moderator) So, I'm sorry,
but I think we just ran out of time,

and I encourage you
to keep talking with our speakers,

[inaudible] during all the conference

and please, a round of applause for them.

(applause)

Thank you.