User contributions
12 May 2020
10 May 2020
Item:Q4518
wbsetlabel-set:1|en: Swiss PT
-1
Item:Q4572
wbsetclaim-create:2||1: instance of (P3): event (Q773)
+416
Item:Q4572
wbsetclaim-create:2||1: date (P100): 10 May 2020
+513
Item:Q4572
wbsetclaim-create:2||1: official website (P15): https://www.franceculture.fr/emissions/signes-des-temps/retour-sur-la-serie-westworld-du-tracage-a-la-programmation-algorithmique-des-comportements
+482
Item:Q4572
wbsetclaim-create:2||1: concerns (P110): StopCovid (Q4442)
+405
Item:Q4572
wbsetclaim-create:2||1: concerns (P110): Coronadata (Q4138)
+422
Item:Q4572
wbeditentity-create:2|en: Retour sur la série Westworld : du traçage à la programmation algorithmique des comportements individuels, France Culture broadcast on 10 May 2020
8 May 2020
Item:Q4570
wbsetclaim-create:2||1: quote (P203): Where a type of processing in particular using new technologies, and taking into account the nature, scope, context and purposes of the processing, is likely to result in a high risk to the rights and freedoms of natural persons, the controller shall, prior to the processing, carry out an assessment of the impact of the envisaged processing operations on the protection of personal data.
+726
Item:Q4570
wbsetdescription-add:1|de: Datenschutz-Folgenabschätzung
+89
Item:Q4570
wbsetdescription-add:1|fr: Analyse d'impact relative à la protection des données
+114
Item:Q4570
wbsetlabel-add:1|de: GDPR Artikel 35
+74
Item:Q4570
wbsetlabel-add:1|fr: RGPD Article 35
+74
Item:Q4570
wbsetclaim-create:2||1: official website (P15): https://gdpr-info.eu/art-35-gdpr/
+367
Item:Q4570
wbsetclaim-create:2||1: instance of (P3): GDPR article (Q843)
+416
Item:Q4570
wbeditentity-create:2|en: GDPR Article 35, Data protection impact assessment
7 May 2020
Item:Q4569
wbsetclaim-create:2||1: concerns (P110): Coronadata (Q4138)
+422
Item:Q4569
wbsetclaim-create:2||1: official website (P15): https://github.com/d4l-data4life/covapp
+357
Item:Q4569
wbsetclaim-create:2||1: official website (P15): https://covapp.charite.de/
+360
Item:Q4569
wbsetclaim-create:2||1: instance of (P3): web application (Q4568)
+418
Item:Q4569
wbeditentity-create:2|en: CovApp, web application developed by Charité Hsopital in Berlin in cooperation with Data4Life
Item:Q4568
wbsetclaim-create:2||1: subclass of (P4): application (Q143)
+416
Item:Q4568
wbsetaliases-add:1|en: web app
+75
Item:Q4568
wbsetclaim-create:2||1: Wikidata item ID (P103): Q189210
+342
Item:Q4568
wbsetdescription-add:1|en: application that uses a web browser as a client
+106
Item:Q4567
wbsetclaim-create:2||1: concerns (P110): Coronadata (Q4138)
+422
Item:Q4567
wbsetclaim-create:2||1: official website (P15): https://github.com/kanijo-oy/Kanijo
+353
Item:Q4567
wbsetdescription-set:1|en: web application combining different data sources people have access to and enriching their data to create diary for contact tracing of the last 14 days
+127
Item:Q4567
wbsetclaim-create:2||1: official website (P15): https://pisarasi.fi/
+354
Item:Q4567
wbsetclaim-create:2||1: instance of (P3): web application (Q4568)
+418
Item:Q4568
wbeditentity-create:2|en: web application
Item:Q4567
wbeditentity-create:2|en: Pisarasi, diary for contact tracing
Item:Q4566
wbsetclaim-create:2||1: date (P100): 6 May 2020
+513
Item:Q4566
wbsetdescription-set:1|en: report published in May 2020
+4
Item:Q4566
wbsetclaim-create:2||1: mentions (P152): GDPR Article 25 (Q4049)
+422
Item:Q4566
wbsetclaim-create:2||1: concerns (P110): Contact tracing (Q4209)
+405
Item:Q4566
wbsetclaim-create:2||1: concerns (P110): Coronadata (Q4138)
+422
Item:Q4566
wbeditentity-create-item:0|: #quickstatements; #temporary_batch_1588853997002
6 May 2020
Item:Q4561
wbsetclaim-create:2||1: date (P100): 24 April 2020
+513
Item:Q4561
wbsetclaim-create:2||1: quote (P203): With bluetooth you can keep track of who has been within radio range. Range is not the same as distance. Range is determined by the transmitting power, the reception sensitivity, the distance (yes) and the environment (walls, obstacles, reflectors, etc.). Out of range you can deduce the distance, but this is not very accurate.
+665
Item:Q4561
wbsetclaim-create:2||1: concerns (P110): Bluetooth Low Energy (Q4406)
+405
Item:Q4561
wbsetclaim-create:2||1: concerns (P110): Contact tracing (Q4209)
+405
Item:Q4561
wbsetclaim-create:2||1: concerns (P110): Coronadata (Q4138)
+422
Item:Q4561
wbeditentity-create-item:0|: #quickstatements; #temporary_batch_1588765197381
Item:Q4528
wbsetclaim-update:2||1: comment (P126): The signal strength reduces with distance: the further the sender, the weaker the signal — until it is no longer detected. IN THEORY, if one knows the transmission power of the source, one should be able to compute the distance between the sender and the receiver from the inverse square law.
Item:Q4528
wbsetclaim-create:2||1: comment (P126): The signal strength reduces with distance: the further the sender, the weaker the signal — until it is no longer detected. In theory, if one knows the transmission power of the source, one should be able to compute the distance between the sender and the receiver from the inverse square law.
+614
Item:Q4528
wbsetdescription-set:1|en: measurement of the power present in a received radio signal
+13
Item:Q4560
wbsetclaim-create:2||1: quote (P203): RSSI biases caused by both the sending and receiving device have to be calibrated out. When working with iBeacons, we have noticed that, even if the sending device is the same (a fixed iBeacon), different devices observe very different RSSI patterns. Differences of 20 dBm (= 100x signal strength difference) are not unusual.
+645
Item:Q4560
wbsetclaim-update:2||1: quote (P203): The RSSI also vary wildly depending on: |Sending device model Receiving device model | The geometry of the building |The location of the devices within the building | Number of people nearby | Whether the device is in the pocket or held in hand | The direction the person with the phone is facing |The signals bleed through floors — probably unlike the virus.
+7
Item:Q4560
wbsetclaim-create:2||1: quote (P203): The RSSI also vary wildly depending on: Sending device model Receiving device model The geometry of the building The location of the devices within the building Number of people nearby Whether the device is in the pocket or held in hand The direction the person with the phone is facing The signals bleed through floors — probably unlike the virus.
+711