Difference between revisions of "User:Genferei"

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''Never attribute to malice that which can be adequately explained by stupidity'' https://www.wikidata.org/wiki/Q257767
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''Ne jamais attribuer à la malveillance ce que l'incompétence suffit à expliquer''
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Confirm account request: https://wiki.personaldata.io/w/index.php?title=Special:ConfirmAccounts/authors&wpShowHeld=0<br>
 
Confirm account request: https://wiki.personaldata.io/w/index.php?title=Special:ConfirmAccounts/authors&wpShowHeld=0<br>
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mettre le SAR https://wiki.personaldata.io/wiki/Template:AccessFR
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https://wiki.personaldata.io/wiki/Template:SwissAccess
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==Projects==
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*Hestialabs
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https://wiki.personaldata.io/wiki/Project:Dating_Privacy<br>
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https://wiki.personaldata.io/wiki/Project:The_Eyeballs<br>
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completer les app https://foundation.mozilla.org/en/privacynotincluded/categories/dating-apps/
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https://wiki.personaldata.io/wiki/Project:Location_tracking    x-mode, geouniq, opensignal , ...
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Projects in Finlandhttps://tinyurl.com/yjkbt838
  
 
'''xmode'''<br>
 
'''xmode'''<br>
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[https://query.personaldata.io/index.html#PREFIX%20pdio%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fentity%2F%3E%0APREFIX%20pdiot%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fdirect%2F%3E%0APREFIX%20pdiop%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2F%3E%0APREFIX%20pdiops%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fstatement%2F%3E%0APREFIX%20pdiopq%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fqualifier%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3FitemDescription%20%3Fdate%20%20%3Fweb%20%20WHERE%20%7B%0A%20%20%3Fitem%20pdiot%3AP110%20pdio%3AQ4821.%23BLE%0A%20%20%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP15%20%3Fweb%7D.%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP100%20%3Fdate%7D%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%0A%20%20%7D%0A%20%20%0A%7D%0A%0AORDER%20BY%20%28DESC%28str%28%3Fdate%29%29%29 query]
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https://tinyurl.com/yckxhak5 all items about xmode
  
 
'''Coronadata'''<br>
 
'''Coronadata'''<br>
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''Never attribute to malice that which can be adequately explained by stupidity'' https://www.wikidata.org/wiki/Q257767
 
''Never attribute to malice that which can be adequately explained by stupidity'' https://www.wikidata.org/wiki/Q257767
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''Ne jamais attribuer à la malveillance ce que l'incompétence suffit à expliquer''  
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''Ne jamais attribuer à la malveillance ce que l'incompétence suffit à expliquer''
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==reading lists ==
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[[Item:Q2349|Roger McNamee's reading list]]
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MP's reading list
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== Presentations support ==
 
== Presentations support ==
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== Tools==
 
== Tools==
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Copy and Paste Excel-to-Wiki Converter <br>
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Copy and Paste Excel-to-Wiki Converter <br> https://tools.wmflabs.org/excel2wiki/<br>
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https://tools.wmflabs.org/excel2wiki/<br>
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csv to wiki http://mlei.net/shared/tool/csv-wiki.htm<br>
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Listeria
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Listeria update lists https://listeria.toolforge.org/index.php<br>
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== Identification of personal data==
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Personal data can also be classified according to the extent to which it is personally identifiable. In particular, ISO/IEC19441 distinguishes between five categories including:
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*1.Identified data, which is unambiguously associated with a specific person.
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*2.Pseudonymised  data,  in  which  aliases  are  used  in  place  of  personal  identifiers; aliases can only be reversed by the party that assigned them.
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*3.Unlinked pseudonymised data, in which all identifiers are erased or substituted by aliases for which the assignment function is erased or irreversible, so that the linkage cannot be re-established by anyone.
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*4.Anonymised  data,  which  is  unlinked  and  altered  (e.g.  attributes’  values  are randomised  or  generalised)  in  such  a  way  that  there  is  a  reasonable  level  of confidence that a person cannot be identified.
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*5.Aggregated data, which does not contain individual-level entries and is combined from information about enough different persons that individual-level attributes are not identifiable (ISO/IEC, 2018)
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https://one.oecd.org/document/DAF/COMP(2020)1/en/pdf
  
 
== Adtech ==  
 
== Adtech ==  

Latest revision as of 21:44, 2 February 2022

Never attribute to malice that which can be adequately explained by stupidity https://www.wikidata.org/wiki/Q257767

Ne jamais attribuer à la malveillance ce que l'incompétence suffit à expliquer

Confirm account request: https://wiki.personaldata.io/w/index.php?title=Special:ConfirmAccounts/authors&wpShowHeld=0

mettre le SAR https://wiki.personaldata.io/wiki/Template:AccessFR


https://wiki.personaldata.io/wiki/Template:SwissAccess


Projects

  • Hestialabs

https://wiki.personaldata.io/wiki/Project:Dating_Privacy
https://wiki.personaldata.io/wiki/Project:The_Eyeballs


completer les app https://foundation.mozilla.org/en/privacynotincluded/categories/dating-apps/

https://wiki.personaldata.io/wiki/Project:Location_tracking x-mode, geouniq, opensignal , ...

Projects in Finlandhttps://tinyurl.com/yjkbt838

xmode
https://tinyurl.com/yckxhak5 all items about xmode

Coronadata

communication about Swisscovid : User:Genferei/Bag
Batch with QuickStatements--> User:Genferei/QS
All the results https://tinyurl.com/trzyqqv


scholarly articles https://tinyurl.com/tgcgc9x

database + app https://huit.re/Coronadata_HealthData with no description https://tinyurl.com/ukhfs2e with description

mobile app only https://tinyurl.com/ukl7saa

contact tracing app https://tinyurl.com/y9pg2jru
on wikidata: https://tools.wmflabs.org/tabernacle/?#/tab/sparql/SELECT%20%3FCOVID_19_application%20%3FCOVID_19_applicationLabel%20WHERE%20%7B%0A%20%20%3FCOVID_19_application%20wdt%3AP31%20wd%3AQ89288125.%0A%7D/L%3BD%3BP31%3BP366%3BP123%3BP178%3BP495%3BP407%3BP306%3BP856%3BP577%3BP1547%3BP5008

contact tracing laws https://www.saraheskens.eu/blog/contact-tracing-laws.html

countries using Google and Apple’s COVID-19 Contact Tracing API->https://www.xda-developers.com/google-apple-covid-19-contact-tracing-exposure-notifications-api-app-list-countries/

News per country

country results
Switzerland https://huit.re/CH_News_Coronada
Russia https://tinyurl.com/r8k7gks
Italy https://tinyurl.com/sbypup6
South Korea https://tinyurl.com/vedcz7v
Germany https://tinyurl.com/revpo4y
France https://tinyurl.com/wxzkac2
China https://tinyurl.com/rhnx8wj
Taïwan https://tinyurl.com/qqrhf87
Poland https://tinyurl.com/w3fas33
Iran Example


Switzerland: https://tinyurl.com/umxnfzz


Never attribute to malice that which can be adequately explained by stupidity https://www.wikidata.org/wiki/Q257767 Ne jamais attribuer à la malveillance ce que l'incompétence suffit à expliquer

reading lists

Roger McNamee's reading list

MP's reading list


Presentations support

Community call

MediaWiki:Access.js
User:Genferei/common.js customization ok
template list : https://wiki.personaldata.io/wiki/Special:AllPages?from=&to=&namespace=10
sparql:>>> change language settings -> serviceParam wikibase:language "fr"
ontology? ensemble structuré représentatif d'un ensemble de concepts dans un domaine, ainsi que des relations entre ces concepts
advanced search: https://wiki.personaldata.io/w/index.php?title=Special:Search&profile=advanced
quick statements https://qs.personaldata.io/#/

Exemples de visualisation via requêtes Sparql

Exemples

Tools

Copy and Paste Excel-to-Wiki Converter
https://tools.wmflabs.org/excel2wiki/
csv to wiki http://mlei.net/shared/tool/csv-wiki.htm
Listeria update lists https://listeria.toolforge.org/index.php

Identification of personal data

Personal data can also be classified according to the extent to which it is personally identifiable. In particular, ISO/IEC19441 distinguishes between five categories including:

  • 1.Identified data, which is unambiguously associated with a specific person.
  • 2.Pseudonymised data, in which aliases are used in place of personal identifiers; aliases can only be reversed by the party that assigned them.
  • 3.Unlinked pseudonymised data, in which all identifiers are erased or substituted by aliases for which the assignment function is erased or irreversible, so that the linkage cannot be re-established by anyone.
  • 4.Anonymised data, which is unlinked and altered (e.g. attributes’ values are randomised or generalised) in such a way that there is a reasonable level of confidence that a person cannot be identified.
  • 5.Aggregated data, which does not contain individual-level entries and is combined from information about enough different persons that individual-level attributes are not identifiable (ISO/IEC, 2018)

https://one.oecd.org/document/DAF/COMP(2020)1/en/pdf

Adtech

Project:Adtech Suivi des demandes sur les données que les entreprises ont en leur possession,

AdtechList 443 adtech bullshit

Lobbywatch

Mettre un lien pour chaque parti politique suisse
item:polical party country:switzerland -> ex: https://lobbywatch.ch/fr/daten/organisation/581/Les%20Verts%20-%20Parti%20%C3%A9cologiste%20suisse
Voir si pas possible de récuperer les data qui sont en CC 4.0

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