User:Genferei

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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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