1
00:00:06,048 --> 00:00:07,248
So welcome, everybody.

2
00:00:07,248 --> 00:00:10,118
This is "Structuring GLAM-Wiki
Initiatives with Wikidata"

3
00:00:10,118 --> 00:00:12,410
with the presenter
João Alexandre Peschanski

4
00:00:12,410 --> 00:00:15,714
from Wiki Movimento Brasil.
And let's start.

5
00:00:17,278 --> 00:00:19,748
(João) So, thanks everyone for joining us.

6
00:00:19,748 --> 00:00:20,968
Thank you, Erica.

7
00:00:20,968 --> 00:00:24,729
I was also actually one of the presenters,

8
00:00:24,729 --> 00:00:25,778
to some extent.

9
00:00:25,778 --> 00:00:30,451
I have this job of presenting
on behalf of four people,

10
00:00:30,451 --> 00:00:32,912
they are all here, including myself.

11
00:00:33,438 --> 00:00:36,878
(person in audience) Please shut up.
Please stop talking! Thanks.

12
00:00:38,773 --> 00:00:41,103
(João) Me?
(laughs)

13
00:00:43,378 --> 00:00:45,278
(person in audience) Please go on talking.

14
00:00:45,278 --> 00:00:46,948
(laughter)

15
00:00:48,230 --> 00:00:51,280
(João) Okay. So this is collective work,

16
00:00:51,280 --> 00:00:57,930
and I am only here as a means
to order some process

17
00:00:57,930 --> 00:01:01,930
to some extent; this is work
by Wiki Movimento Brasil, the user group,

18
00:01:02,271 --> 00:01:05,731
and The Research, Innovation
and Dissemination Center

19
00:01:05,731 --> 00:01:07,031
for Neuromathematics,

20
00:01:07,031 --> 00:01:09,441
which is the lab where I hold a position.

21
00:01:09,441 --> 00:01:12,343
This is funded by
the São Paulo Research Foundation.

22
00:01:12,343 --> 00:01:16,376
And it's basically our work to solve

23
00:01:16,376 --> 00:01:19,691
what nobody in Brazil
really cares to solve,

24
00:01:19,691 --> 00:01:21,916
which is to provide knowledge.

25
00:01:21,916 --> 00:01:25,454
And this knowledge needs
to be provided urgently,

26
00:01:25,454 --> 00:01:29,162
otherwise museums burn,
they get destroyed,

27
00:01:29,162 --> 00:01:30,742
they are unfunded.

28
00:01:31,404 --> 00:01:34,822
Museums don't have--
this is a Global South country,

29
00:01:34,822 --> 00:01:36,362
they don't have resources.

30
00:01:36,362 --> 00:01:40,794
Only 1% of the public museums in Brazil

31
00:01:40,794 --> 00:01:45,539
have any sort of digital media available.

32
00:01:46,559 --> 00:01:48,929
So if we don't do the digitizing,

33
00:01:48,929 --> 00:01:54,045
if we don't do the upload, if we don't do
the dissemination of this work,

34
00:01:54,045 --> 00:01:56,055
it just won't happen.

35
00:01:56,055 --> 00:01:57,925
And this knowledge will be lost,

36
00:01:57,925 --> 00:02:00,135
it will be destroyed,

37
00:02:00,560 --> 00:02:05,708
it will just be unavailable forever.

38
00:02:05,880 --> 00:02:08,050
So there is a sense of urgency,

39
00:02:08,050 --> 00:02:12,990
and what I am going to present today
is the aspect of GLAM-Wiki initiative,

40
00:02:12,990 --> 00:02:16,670
so an initiative around the collection
of galleries, libraries--

41
00:02:16,670 --> 00:02:18,220
whatever galleries means--

42
00:02:18,220 --> 00:02:21,576
archives and museums
or other cultural institutions

43
00:02:22,548 --> 00:02:24,563
to provide this knowledge.

44
00:02:24,563 --> 00:02:26,273
So, it's a focus on process,

45
00:02:26,273 --> 00:02:27,823
which to some extent is interesting

46
00:02:27,823 --> 00:02:32,763
because it connects to the vision
that was laid out on Wikidata

47
00:02:33,428 --> 00:02:38,128
for the Wikimedia platforms
which is, Wikidata is a resource

48
00:02:38,128 --> 00:02:42,138
to improve efficiency and effectiveness

49
00:02:42,848 --> 00:02:45,503
of the other Wikimedia platforms.

50
00:02:45,503 --> 00:02:47,063
This is the focus,

51
00:02:47,063 --> 00:02:50,893
and it's particularly looking
at the Brazilian experience as a model,

52
00:02:50,893 --> 00:02:53,483
I hope, for the Global South.

53
00:02:53,797 --> 00:02:57,884
It's easy when you have staff, resources,

54
00:02:58,740 --> 00:03:00,557
funding, whatever.

55
00:03:00,975 --> 00:03:02,750
It's a little bit trickier

56
00:03:02,750 --> 00:03:08,196
and it's more community dependent
when you are from an impoverished country,

57
00:03:08,746 --> 00:03:13,683
when you are from a region
on which the Wikimedian community

58
00:03:13,683 --> 00:03:17,205
needs to get directly involved
in the process.

59
00:03:19,297 --> 00:03:24,740
And this is, to some extent,
an idea that starts--

60
00:03:25,293 --> 00:03:27,223
from, the way I am presenting--

61
00:03:27,223 --> 00:03:30,513
from the broader aspect
of providing this knowledge.

62
00:03:31,011 --> 00:03:34,724
A process of convergence
of this knowledge and availability

63
00:03:34,871 --> 00:03:38,281
through how we go onto this process

64
00:03:38,281 --> 00:03:42,325
to the actual single item that we work on.

65
00:03:42,529 --> 00:03:45,319
So I am going to present, to some extent,

66
00:03:45,319 --> 00:03:48,259
what I've just called
the "Sum of All GLAM-Wikis Brazil",

67
00:03:48,259 --> 00:03:50,739
the several institutions,
and how we keep track

68
00:03:50,739 --> 00:03:53,553
of the work we've been doing,
I think we are up to now--

69
00:03:54,159 --> 00:03:58,729
we have uploaded
around 70,000 files to Commons

70
00:03:58,729 --> 00:04:02,172
and hundreds of thousands
of stuff to Wikidata.

71
00:04:02,477 --> 00:04:05,927
It's about also the item modeling
of a GLAM-Wiki initiative,

72
00:04:05,927 --> 00:04:07,865
so we can keep track of it,

73
00:04:07,865 --> 00:04:10,395
and how we can involve the community

74
00:04:10,395 --> 00:04:15,781
because that's the agent
of this knowledge development.

75
00:04:15,870 --> 00:04:20,996
And this is one of our main projects
with this "Museu Paulista,"

76
00:04:21,518 --> 00:04:25,949
it has over 23,000 images uploaded--

77
00:04:25,949 --> 00:04:29,569
this is a museum that has been shut down
for several years.

78
00:04:30,022 --> 00:04:34,442
So if you don't go
to the Wikimedia platforms,

79
00:04:34,442 --> 00:04:37,824
you just don't have access
to this knowledge.

80
00:04:37,824 --> 00:04:41,824
It's only available
for the general public here.

81
00:04:42,304 --> 00:04:45,054
Which is different
when you're just, to some extent,

82
00:04:45,054 --> 00:04:48,314
mirroring digital platforms
that already exist,

83
00:04:48,314 --> 00:04:51,010
for instance, on the museum website.

84
00:04:51,758 --> 00:04:55,758
So, what we do, we have items
for each one of the GLAMs

85
00:04:55,758 --> 00:04:59,057
that we work on,
and they are Listeria-generated.

86
00:04:59,635 --> 00:05:04,278
They-- each one has a page
so the community can go there.

87
00:05:05,013 --> 00:05:10,123
We have a template
for GLAM-Wiki initiatives.

88
00:05:10,123 --> 00:05:13,223
It's called a TGLAM--this is not Wikidata,
but it's pretty cool--

89
00:05:13,223 --> 00:05:17,624
it was developed by other Portuguese
here in the room.

90
00:05:18,804 --> 00:05:20,872
And so we keep track of them,

91
00:05:21,895 --> 00:05:26,776
so they are all then items on Wikidata.

92
00:05:27,344 --> 00:05:29,404
They are not fancy items,

93
00:05:29,404 --> 00:05:34,742
it's just important that we are able
to keep track of what we're doing.

94
00:05:34,742 --> 00:05:39,046
This is important for the community
to actually reach out,

95
00:05:39,339 --> 00:05:44,049
and convert and this is Wikidata again 
that there is--

96
00:05:45,283 --> 00:05:49,550
you have pages on Wikipedia
Commons category,

97
00:05:49,550 --> 00:05:53,079
so people can find elements easily.

98
00:05:53,898 --> 00:05:57,528
This is TGLAM which is
the template that we use.

99
00:05:57,528 --> 00:06:01,528
This is a small GLAM that we've worked on.

100
00:06:02,269 --> 00:06:05,158
It's again a national museum,
a public museum,

101
00:06:05,158 --> 00:06:09,158
that is currently shut down
by the government,

102
00:06:09,158 --> 00:06:10,618
by lack of funding.

103
00:06:10,618 --> 00:06:16,198
If you want to have access to content, 
you need to go to the Wikimedia platforms.

104
00:06:16,721 --> 00:06:20,552
So it's a small activity and you see
there are several members--

105
00:06:21,705 --> 00:06:25,265
some members of the community small GLAM
that are working--

106
00:06:25,265 --> 00:06:28,855
this is again Wikidata-generated,
all the list of GLAMs,

107
00:06:28,855 --> 00:06:32,347
so people can go back and forth over them,

108
00:06:32,347 --> 00:06:35,517
but most importantly--
and this is where WIkidata is coming--

109
00:06:35,517 --> 00:06:38,647
you have tasks,
and there are a lot of tasks.

110
00:06:38,952 --> 00:06:42,532
These are, again,
poor cultural institutions,

111
00:06:42,532 --> 00:06:46,532
so the metadata that we get
is generally really bad.

112
00:06:47,577 --> 00:06:53,355
We have batches of images
that no one knows what they are.

113
00:06:54,925 --> 00:06:59,535
So the only way
that we can solve this issue

114
00:06:59,816 --> 00:07:05,793
if we want to have
this input onto the project

115
00:07:05,793 --> 00:07:08,232
is to actually mobilize the community

116
00:07:08,232 --> 00:07:11,458
which is something
that we've done for airplanes.

117
00:07:12,273 --> 00:07:14,493
The community with airplanes
are just fantastic.

118
00:07:14,493 --> 00:07:18,303
They just identified in one day
like 500 images of airplanes--

119
00:07:18,303 --> 00:07:22,919
we are doing this for political protest
in Brazil from the National Archives.

120
00:07:23,608 --> 00:07:26,174
And we use several tools--

121
00:07:26,174 --> 00:07:29,023
this one was presented by Andrew Lih

122
00:07:29,023 --> 00:07:33,583
which is TABernacle, which is a tool
that he introduced to me,

123
00:07:33,583 --> 00:07:37,583
so I am acknowledging this help.

124
00:07:37,583 --> 00:07:40,803
We've actually learned a lot
from the Metropolitan work

125
00:07:40,803 --> 00:07:42,488
which is, I think,

126
00:07:42,488 --> 00:07:46,162
part of what we all do here is to share 
processes and understanding,

127
00:07:46,162 --> 00:07:49,112
so we are thankful.

128
00:07:49,112 --> 00:07:53,194
Another one that we learned
from Wikimedia Deutschland

129
00:07:53,194 --> 00:07:55,004
is the BRA Table--

130
00:07:55,004 --> 00:07:58,322
that I don't think you've mentioned
in your presentation, Andrew--

131
00:07:58,322 --> 00:08:00,094
which is actually pretty cool.

132
00:08:00,094 --> 00:08:04,094
It was very important for us
in the context, you might remember,

133
00:08:04,094 --> 00:08:07,434
of the fire at the National Museum

134
00:08:07,889 --> 00:08:11,959
on which this gigantic historical museum,

135
00:08:11,959 --> 00:08:13,799
science museum in Brazil,
just burned down.

136
00:08:13,799 --> 00:08:15,849
There was no digital collection,

137
00:08:15,849 --> 00:08:20,269
so we organized the campaign,
so people, random people,

138
00:08:20,269 --> 00:08:24,859
would submit or upload
to Commons their images.

139
00:08:24,859 --> 00:08:29,588
And they are the only images
we have of these museums,

140
00:08:30,416 --> 00:08:32,479
and I am thankful again for the community

141
00:08:32,629 --> 00:08:34,479
to have shared the word,

142
00:08:34,479 --> 00:08:37,219
and we've used this tool, BRA Table,

143
00:08:37,219 --> 00:08:43,269
to have the community understand 
the language on which the items,

144
00:08:43,269 --> 00:08:46,141
the entries had to be created
or were created,

145
00:08:46,141 --> 00:08:47,807
the number of statements.

146
00:08:48,007 --> 00:08:52,027
It's a community tool,
it's administrative stuff,

147
00:08:52,027 --> 00:08:54,648
and Mix'n'match, of course,
which is useful

148
00:08:54,648 --> 00:08:58,137
to be able to find more easily
where the information lies

149
00:08:58,137 --> 00:09:00,155
when you have external databases.

150
00:09:01,380 --> 00:09:04,681
And again on the administrative aspect,

151
00:09:04,681 --> 00:09:07,811
which is again not already the main space,

152
00:09:07,811 --> 00:09:13,038
we also rely on Mbabel
which was presented earlier on

153
00:09:13,567 --> 00:09:17,697
through Listeria, so people
can actually improve content

154
00:09:18,254 --> 00:09:20,924
not having a blank page in front of them,

155
00:09:20,924 --> 00:09:24,924
but being able to have
some structured narrative

156
00:09:24,924 --> 00:09:28,614
of an entry before they can
create content.

157
00:09:28,614 --> 00:09:33,204
So this is all in the process
of improving efficiency

158
00:09:33,204 --> 00:09:35,584
and effectiveness for the community.

159
00:09:35,584 --> 00:09:39,290
And we also do that on the main space,

160
00:09:39,749 --> 00:09:44,937
so we have an infrastructure,
most Wikipedia--

161
00:09:45,757 --> 00:09:51,227
I would say, many Wikipedias
have this infrastructure on,

162
00:09:51,227 --> 00:09:56,921
so automated infoboxes and, of course,
Commons has the Commons infoboxes.

163
00:09:56,921 --> 00:10:00,251
These are really, really useful elements

164
00:10:00,251 --> 00:10:04,251
because they fetch what we are able
to include onto Wikidata,

165
00:10:04,251 --> 00:10:09,450
and they easily give
a sense of effectiveness

166
00:10:09,450 --> 00:10:12,183
and social impact relevance
of what we are doing.

167
00:10:12,183 --> 00:10:16,682
These are, again, cultural institutions
that are not recognized as GLAMs

168
00:10:16,682 --> 00:10:19,132
that we work on.

169
00:10:19,913 --> 00:10:24,233
And we've used this
for Wiki Loves Monuments as well,

170
00:10:24,233 --> 00:10:29,443
so people would just upload
through Wikidata their monuments

171
00:10:29,443 --> 00:10:32,975
and the use of the monument idea
that is now true.

172
00:10:32,975 --> 00:10:34,520
Mike Peel, who is here,

173
00:10:35,840 --> 00:10:39,365
has a connection
to structured data on Commons.

174
00:10:39,365 --> 00:10:43,510
This is again something that improved
the effectiveness of the process.

175
00:10:45,402 --> 00:10:47,862
So I think I'm going to speed up.

176
00:10:47,903 --> 00:10:54,473
In Portuguese Wikipedia, we can rely
on Listeria-bought generated lists

177
00:10:54,473 --> 00:10:56,303
on the main space,

178
00:10:56,303 --> 00:10:58,763
which is actually pretty cool

179
00:10:58,763 --> 00:11:02,763
when we are dealing
with small cultural institutions,

180
00:11:02,763 --> 00:11:04,997
spread around,

181
00:11:04,997 --> 00:11:09,156
that have to some extent 
similar artists in their collections.

182
00:11:09,401 --> 00:11:14,050
Which means that every time
you upload one museum,

183
00:11:14,050 --> 00:11:17,580
it actually generates
a sort of avalanche bot editing

184
00:11:17,580 --> 00:11:21,580
on, I don't know, dozens of lists,
for instance, of these ones--

185
00:11:21,580 --> 00:11:24,082
list of paintings of Pedro Americo

186
00:11:24,082 --> 00:11:27,202
which is one of the most important
historical painters in Brazil.

187
00:11:27,741 --> 00:11:29,861
So if you look at the history,

188
00:11:29,861 --> 00:11:35,731
most of the content that was included 
and sometimes small information,

189
00:11:35,731 --> 00:11:39,311
but sometimes a batch upload
comes from Wikidata.

190
00:11:39,951 --> 00:11:42,413
Again, the sense of effectiveness.

191
00:11:43,872 --> 00:11:48,502
And now moving to the way

192
00:11:48,884 --> 00:11:51,484
that we deal with things.

193
00:11:51,484 --> 00:11:54,551
So the major difference
on what you're seeing

194
00:11:54,551 --> 00:11:57,271
from Andrew and the work with the Met,

195
00:11:57,271 --> 00:12:00,039
and, I think, the way we're doing--

196
00:12:00,749 --> 00:12:02,687
5 minutes from 20 or 25?

197
00:12:02,859 --> 00:12:05,169
(person answering) [inaudible]

198
00:12:06,286 --> 00:12:10,196
We don't do Python,
we do Google Sheet formula.

199
00:12:10,196 --> 00:12:11,288
(laughs)

200
00:12:11,288 --> 00:12:17,408
Which is, I think, probably harder,
but we should at some point--

201
00:12:17,408 --> 00:12:19,538
(person) [inaudible]

202
00:12:19,538 --> 00:12:22,368
- It's kind of scary.
- Yeah. it's kind of scary.

203
00:12:22,368 --> 00:12:26,168
It is a large concatenation,
but once you've done one,

204
00:12:26,168 --> 00:12:28,318
you can do them all.

205
00:12:28,318 --> 00:12:31,428
But this is how we're doing this.

206
00:12:32,566 --> 00:12:37,626
We use Pattypan, we rely
on Commons templates,

207
00:12:37,626 --> 00:12:38,949
but I'll show them.

208
00:12:38,949 --> 00:12:43,759
So it's basically a process of search,
organize, clean and quick statements,

209
00:12:43,759 --> 00:12:45,143
fy, whatever--

210
00:12:45,143 --> 00:12:49,792
and we do reconciliation
mostly through Google Sheets.

211
00:12:50,835 --> 00:12:54,162
We have issues with Open Refined,

212
00:12:54,162 --> 00:12:57,237
mostly because we receive the collections

213
00:12:57,237 --> 00:13:03,298
not as full collections
but parts of them, normally,

214
00:13:03,298 --> 00:13:08,628
and we are afraid
that if we use Open Refine,

215
00:13:08,628 --> 00:13:11,785
the decisions that we make
won't be recorded.

216
00:13:11,785 --> 00:13:16,210
So you won't be able to have them
used in different processes.

217
00:13:16,994 --> 00:13:20,994
And we have this gigantic Google Sheet 
that to some extent,

218
00:13:20,994 --> 00:13:27,151
people spend time finding the right Q ID
or finding the ID that they need to find,

219
00:13:27,151 --> 00:13:30,789
and then they just reconcile
through Google Sheet, again.

220
00:13:33,089 --> 00:13:35,329
The upload is based on Pattypan.

221
00:13:35,329 --> 00:13:39,383
We've tried GLAMpipe--
it's a little bit complicated,

222
00:13:39,699 --> 00:13:43,299
but Pattypan is the one we've been using.

223
00:13:43,299 --> 00:13:46,270
And again, in the process
of effectiveness,

224
00:13:46,270 --> 00:13:50,756
the Commons templates
basically bring from WIkidata

225
00:13:50,756 --> 00:13:53,956
the information you've uploaded,
so this is one of--

226
00:13:53,956 --> 00:13:56,848
this is an example of an image
that we have uploaded

227
00:13:56,848 --> 00:14:00,438
from this very famous
photographer in Brazil,

228
00:14:00,438 --> 00:14:05,813
and it brings with the art photo,
Commons template,

229
00:14:05,813 --> 00:14:08,063
a structure that we feel is useful.

230
00:14:08,502 --> 00:14:14,264
Each one of the processes

231
00:14:14,264 --> 00:14:15,948
that I've shown you

232
00:14:15,948 --> 00:14:21,742
were identified
as a topic of a Wikidata Lab.

233
00:14:21,742 --> 00:14:25,273
You probably heard of them as of now.

234
00:14:25,634 --> 00:14:28,724
These are trainings that we provide
for the community,

235
00:14:28,724 --> 00:14:34,284
so they are able to work
on each one of the steps.

236
00:14:34,284 --> 00:14:36,974
So, here you have Magnus and Andrew,

237
00:14:38,030 --> 00:14:44,980
in Brazil, helping us with--
working in this process

238
00:14:44,980 --> 00:14:48,140
that has been the process
that we've relied on

239
00:14:48,140 --> 00:14:50,061
for these cultural institutions.

240
00:14:50,450 --> 00:14:54,280
And the trainings are available online.

241
00:14:54,280 --> 00:14:58,814
The last one we have available online
is on disagreeing data

242
00:14:58,814 --> 00:15:00,259
with Denny Vrandečić.

243
00:15:00,979 --> 00:15:03,509
That's it.
So, thank you all for being here.

244
00:15:03,509 --> 00:15:06,538
This was a fast-track presentation,

245
00:15:06,538 --> 00:15:09,323
but I think we have time for questions.
Thank you.

246
00:15:09,323 --> 00:15:13,323
(applause)

247
00:15:13,874 --> 00:15:17,134
(Erica) Thank you, João.
So, now we have 5 minutes for questions

248
00:15:17,134 --> 00:15:19,744
and please, wait for the microphone
before asking.

249
00:15:20,346 --> 00:15:21,990
So, who's got questions here?

250
00:15:36,352 --> 00:15:39,236
(person 1) First of all, thank you
for all the work that you are doing.

251
00:15:39,236 --> 00:15:41,736
And I want to ask you
about the inspiration.

252
00:15:41,736 --> 00:15:44,198
We just came from an education panel

253
00:15:44,198 --> 00:15:48,246
where you said that the work that you do
with your students is difficult for you

254
00:15:48,246 --> 00:15:51,276
because, you know, you have to find 
assignments and things to do

255
00:15:51,276 --> 00:15:52,595
that are interesting.

256
00:15:52,595 --> 00:15:56,394
So I am wondering
how you keep yourself inspired

257
00:15:56,394 --> 00:15:59,474
and what do you do to kind
of try new things

258
00:15:59,474 --> 00:16:03,612
and find a new--
next ideas to work on.

259
00:16:05,955 --> 00:16:08,715
(João) I don't know what you mean.
Thank you.

260
00:16:08,715 --> 00:16:10,235
(laughs)

261
00:16:10,235 --> 00:16:11,845
Maybe, I am a maniac. I don't know.

262
00:16:11,845 --> 00:16:14,965
But it's obsessive, I don't know.

263
00:16:15,219 --> 00:16:19,884
It's just that, again, there is a sense
that if we don't do it,

264
00:16:19,884 --> 00:16:21,639
no one will do it,

265
00:16:21,994 --> 00:16:23,804
(person) Obsessive [inaudible]

266
00:16:23,874 --> 00:16:26,054
(laughs)

267
00:16:26,054 --> 00:16:30,515
So, this is a motto for,
I think, these processes.

268
00:16:31,280 --> 00:16:35,700
And again this is a country
on which the museums are being shut down

269
00:16:35,700 --> 00:16:39,211
or destroyed and again if we don't do it,

270
00:16:39,211 --> 00:16:42,132
this content will just disappear.

271
00:16:42,132 --> 00:16:45,282
So we are just, right now,
facing a situation

272
00:16:45,282 --> 00:16:49,282
in which the Brazilian government
has decided but to shut down

273
00:16:49,282 --> 00:16:53,282
the databases on the killed
and disappeared people

274
00:16:53,282 --> 00:16:56,752
in the military dictatorship in Brazil
because they disagree that people

275
00:16:56,752 --> 00:17:00,955
were killed or disappeared
during the military dictatorship.

276
00:17:01,496 --> 00:17:03,855
So content disappears.

277
00:17:04,714 --> 00:17:07,764
So I think we all live,
and it's just not myself,

278
00:17:07,764 --> 00:17:10,952
Érica, Giovana and Heather,
with the sense of emergency.

279
00:17:11,489 --> 00:17:15,769
Which I think it's a little bit different
from other circumstances,

280
00:17:15,769 --> 00:17:19,241
other countries,
but I would say that in Brazil,

281
00:17:19,241 --> 00:17:22,141
and we can imagine
the Global South in general,

282
00:17:22,374 --> 00:17:24,824
this is something that is really relevant.

283
00:17:25,248 --> 00:17:28,908
Content will just not be there
if you wait.

284
00:17:41,547 --> 00:17:45,997
(person 2) I was wondering
if there was any positive aspects

285
00:17:45,997 --> 00:17:49,257
to your relationship
with the Brazilian government.

286
00:17:50,588 --> 00:17:54,328
Has there been attention
to your efforts with the museum

287
00:17:54,328 --> 00:17:57,113
or otherwise, I know,
it got a lot of press,

288
00:17:57,113 --> 00:18:00,023
or did you get any positive attention,
did you get any collaboration,

289
00:18:00,023 --> 00:18:06,596
is there any avenues in which you are 
getting some progress with the government?

290
00:18:09,233 --> 00:18:11,793
As some of you might know,
if not all of them,

291
00:18:11,793 --> 00:18:14,983
we currently have
a very bad government in Brazil.

292
00:18:15,459 --> 00:18:19,799
So if they knew we existed,
they would shut down all the projects.

293
00:18:20,781 --> 00:18:24,707
So I am glad--
what we have right now

294
00:18:24,707 --> 00:18:28,124
is better than any communication.

295
00:18:28,370 --> 00:18:34,111
So we have a very, very large initiative

296
00:18:34,368 --> 00:18:39,278
that is, as of today, half clandestine
with the Brazilian National Archive,

297
00:18:39,278 --> 00:18:44,871
which is under the administration
of the Department of Justice

298
00:18:45,117 --> 00:18:48,477
which is extremely far-right.

299
00:18:49,080 --> 00:18:51,610
And they just don't care
about what we are doing

300
00:18:51,610 --> 00:18:55,530
and if they knew we were--
they don't really care--

301
00:18:55,530 --> 00:18:58,080
but if they knew, they wouldn't like it.

302
00:18:58,080 --> 00:19:01,820
Just like the Department of Education--
the Head of the Department of Education

303
00:19:01,820 --> 00:19:06,487
sent a letter to Wikipedians
twice this year,

304
00:19:06,795 --> 00:19:09,378
saying that he doesn't like his entry.

305
00:19:10,483 --> 00:19:13,569
And we don't know what it actually means,

306
00:19:13,569 --> 00:19:16,339
but it came to us as an official document.

307
00:19:16,339 --> 00:19:20,099
And then, you can imagine
how in this process

308
00:19:20,099 --> 00:19:22,059
this would be understood.

309
00:19:22,059 --> 00:19:25,039
I don't think there is
any connection right now,

310
00:19:25,039 --> 00:19:29,039
but I think it's just an expression
of what they do

311
00:19:29,039 --> 00:19:33,730
or understand the role of culture
or, I don't know,

312
00:19:34,208 --> 00:19:37,858
social communication,
of culture in Brazil right now.

313
00:19:38,250 --> 00:19:41,860
(person 2) What about local governments,
states, cities?

314
00:19:43,157 --> 00:19:45,367
So, the question now is
about local governments,

315
00:19:45,367 --> 00:19:48,723
cities, so that's a very actually
interesting aspect.

316
00:19:49,792 --> 00:19:54,544
One of the GLAM that is listed,
is actually not necessarily a GLAM.

317
00:19:55,582 --> 00:20:02,203
In like a couple of weeks ago,
we decided with a local government--

318
00:20:02,681 --> 00:20:04,220
Where is it?

319
00:20:04,220 --> 00:20:08,220
This one. It's called
"Wiki Takes Santana de Parnaíba"

320
00:20:08,430 --> 00:20:10,580
"Wiki Occupies Santana de Parnaíba."

321
00:20:10,580 --> 00:20:12,000
We had this agreement,

322
00:20:12,000 --> 00:20:16,060
and it was generally funded
by the Wikimedia foundation,

323
00:20:16,060 --> 00:20:18,605
that we would take over a city

324
00:20:18,971 --> 00:20:22,011
for several days.

325
00:20:22,011 --> 00:20:28,129
So we arrived with 15 Wikimedians,
with the support of the local government,

326
00:20:28,459 --> 00:20:33,099
which opened its cultural institutions--
they are very, very small,

327
00:20:33,099 --> 00:20:38,765
non-digitized, and we basically
Wikified everything.

328
00:20:38,765 --> 00:20:41,238
So we took pictures of--

329
00:20:41,238 --> 00:20:45,563
it's a historical city
so there were 500 monuments in the city,

330
00:20:45,563 --> 00:20:49,110
so we took pictures of each one of them,
we mapped them on <i>OpenStreetMap</i>,

331
00:20:49,110 --> 00:20:52,780
we went to the archive,
we uploaded what we could--

332
00:20:52,780 --> 00:20:54,344
there were licensing issues.

333
00:20:54,344 --> 00:20:57,944
We interviewed the elderly in the city,

334
00:20:57,944 --> 00:21:00,514
and this was done with local government.

335
00:21:00,514 --> 00:21:05,130
But these kind
of local negotiations are harder

336
00:21:05,130 --> 00:21:09,550
than when you have a broader federal agent

337
00:21:09,550 --> 00:21:13,280
because then you can
just trickle down to negotiation.

338
00:21:13,280 --> 00:21:17,525
But it was fun mostly, which is,
of course, always important.

339
00:21:17,525 --> 00:21:19,725
It was very, very impactful.

340
00:21:19,725 --> 00:21:23,669
I think we've uploaded
like 10,000 images in this process.

341
00:21:24,223 --> 00:21:26,062
(Erica) We have time
for one more question.

342
00:21:34,758 --> 00:21:36,568
(person 3) Hello, thanks 
for your presentation.

343
00:21:36,568 --> 00:21:38,590
Just a very practical question.

344
00:21:38,590 --> 00:21:42,430
There was a link to training materials
in your presentation.

345
00:21:42,430 --> 00:21:43,481
To what?

346
00:21:43,481 --> 00:21:45,241
- (person 3) To training materials.
- Yes.

347
00:21:45,241 --> 00:21:46,785
(person 3) I just tried following the link,

348
00:21:46,785 --> 00:21:50,125
but it points 
to a Wikimedia Commons image file.

349
00:21:50,709 --> 00:21:53,909
I would be interested in having
a look at the training materials.

350
00:21:54,059 --> 00:21:56,756
Are they in English or in Portuguese?

351
00:21:57,758 --> 00:22:00,962
- So, which one--
- (person 3) The previous one. Yeah. That one.

352
00:22:01,706 --> 00:22:06,503
Available here that points
to a JPEG file on Wikimedia Commons.

353
00:22:06,503 --> 00:22:09,530
- (person) [inaudible].
- (João) Ah. Okay. This one?

354
00:22:09,530 --> 00:22:14,110
(person 3) Oh, yeah. This is-- no, sorry.
I was looking for the training materials.

355
00:22:14,110 --> 00:22:15,770
(João) Ok. So, anyway.

356
00:22:15,770 --> 00:22:17,662
Somewhere--I will provide the link, so--

357
00:22:17,662 --> 00:22:20,604
- (person 3) Or if you can put on the Etherpad.
- (João) Yes.

358
00:22:20,604 --> 00:22:23,154
(person 3) 'Cause I'd be interested
to see how that relates

359
00:22:23,154 --> 00:22:25,734
to what we tell GLAM institutions
in Belgium.

360
00:22:25,734 --> 00:22:27,764
- (João) Sure. So--
- (person 3) Thank you.

361
00:22:27,765 --> 00:22:30,111
(João) Of course,
and thanks for the question.

362
00:22:30,111 --> 00:22:33,381
And they are not all on YouTube

363
00:22:33,381 --> 00:22:36,671
because at some point, we didn't have
the technology to stream,

364
00:22:36,671 --> 00:22:38,251
but now we do.

365
00:22:38,251 --> 00:22:40,791
And it was implemented, so I would say

366
00:22:40,791 --> 00:22:45,201
the last 8 trainings out of 20 are online,

367
00:22:45,201 --> 00:22:47,688
and some of them are in English.

368
00:22:47,688 --> 00:22:50,232
Some are in Portuguese,

369
00:22:50,232 --> 00:22:53,101
as we are targeting the local community,

370
00:22:53,208 --> 00:22:55,186
it's important for us 
that it's in Portuguese.

371
00:22:55,186 --> 00:22:58,718
And then some work needs
to be done for subtitles,

372
00:22:58,718 --> 00:23:02,956
and there were 20 of these trainings--

373
00:23:02,956 --> 00:23:09,574
all the material PDFs,
links are on Wiki.

374
00:23:10,003 --> 00:23:11,268
So they are traceable,

375
00:23:11,268 --> 00:23:16,476
and the idea is that we meet
in the morning, like 10 a.m,

376
00:23:16,476 --> 00:23:19,906
we have two hours of lectures,

377
00:23:19,906 --> 00:23:22,016
sometimes from someone
in the local community

378
00:23:22,016 --> 00:23:24,465
sometimes from a guest even remotely.

379
00:23:25,055 --> 00:23:27,942
Then we learn something very specific,

380
00:23:27,942 --> 00:23:32,506
like how to do modeling
when you have disagreeing data,

381
00:23:32,506 --> 00:23:33,896
like the last one,

382
00:23:33,896 --> 00:23:37,576
or how to implement an automated info box,

383
00:23:37,576 --> 00:23:40,390
how to run a Listeria, so stuff like that.

384
00:23:41,005 --> 00:23:44,075
And then we learn this,
and during the afternoon

385
00:23:44,075 --> 00:23:48,307
up to 6 p.m, we implement this
on our workflow.

386
00:23:48,670 --> 00:23:51,996
This is why I was saying there is
this aspect of training and doing.

387
00:23:52,514 --> 00:23:55,754
So the content is available,
so you can check,

388
00:23:55,754 --> 00:23:57,984
and I am sorry the link was broken.

389
00:23:57,984 --> 00:24:02,174
But, of course, it's provided,
and it's on Commons and YouTube.

390
00:24:03,955 --> 00:24:05,850
(Erica) So that's it.
We are out of time.

391
00:24:05,850 --> 00:24:07,859
Thank you very much
for attending this session

392
00:24:07,859 --> 00:24:10,019
on GLAM-Wiki initiatives with Wikidata.

393
00:24:10,335 --> 00:24:13,505
And the Brazilian crew is still here,
available for your questions,

394
00:24:13,505 --> 00:24:16,193
for discussion, all those things
that we've been doing

395
00:24:16,193 --> 00:24:19,313
and thank you very much, João.
So another round of applause, please.

396
00:24:19,313 --> 00:24:21,836
(applause)