CISWG Research: Consent in the wild
Assessing Terms for Authorisation;
Including Consent, Permission and Agreement
How to Participate
Discussion should be directed on the (c)ISWG list (or on a call if time permits). comments can be provided on this page (in comment box below), suggest improvements or ask for clarification on this survey with the aim to start inviting people to use the survey prior to MyData 2019 Sept 24.
Design of assessment - To make this easy, the survey is narrowly scoped and focused on just collecting data to review, in order to set a basis for follow up research (if applicable).
CISWG Research:
Inviting all members to participate in research by any of the following means;
fill in this survey for your own organisation's service,
use this assessment on a service you are working on,
use the survey to do an assessment on a service you are interested in,
share this survey t community as a tool to assess authorisation advocate it's use
Key Links
SURVEY: Consent in the Wild: Personal Information Sharing Terminology Assessment
GICS codes spreadsheet download (preferred identify industry code)
Assessment (Survey) Summary
This is a short survey focused on assessing the terms used authorisations, consent based interaction, in permissions and agreements.
This is for identifying the terminology and taxonomy in an specific service - it is for the identification of terms used in authorisations for personal information sharing and permission-ing in identity management, covering contract, all types of agreements and consent.
The results of this research will be correlated by industry, authorisation format, the context, and specifically the legal justification.
This results will be summarised in contrast to the consent receipt format with the aim of contributing towards the further development of works.
Kantara Consent Receipt, v1.1 - including glossary
CISWG Terminology Assessment: link to the survey/assessment,
link to GICS codes excel sheet (preferred codes to use in the survey to identify industry codes for this assessment - GICS_structure_formatted.xlsx)
Thank You Contributors:
Mark Lizar
Paul Knowles
Jan Lindquist
Harshvardhan Pandit
Oscar Santolalla
Vitor Jesus
Joss Langford
Sal D'Agostino
Robert Lapes
Background
The Kantara Initiative Consent & Information Sharing WG, has produced the Consent Receipt Specification, and is now working on a broader Personal Data Processing Receipt Specification.
The consent receipt that has been a basis for developing a single digital privacy record and receipt format to standardise privacy and information sharing transparency. The consent receipt format has been adopted by other standards efforts and is championed as a tool for transparency and interoperability in identity management.
The objective of this survey is to collect and audit the use of terms in the authorisation and permission-ing of personal data processing and to contrast practice against the consent receipt format. The survey will aim is to assess the actual use of terms, and their interpretation from those who use them. As well as to consider a consent centric interpretation of all the various legal justifications for processing personal data.
More information (like how to join this WG or mailing list can be found on the Kantara CISWG Wiki)
Survey Sections
Respondent/ Organisation Information
Context of Data Collection
Terms Used for the Authorisation of Data Capture
Additional Questions Relevant to Quality of Authorisation
Research & Discussion
Conformance to best practice
Security & Privacy Risks, surveillance and dark patterns. e.g. → identification of the malicious and benign mis use of transparency.
Terms: Legal, Technical, Business,
Deeper Sub-Topics - (of keen interest to review) Contract Vs Privacy, Governance Vs platform permissions, data trusts
Links to research to help inform this study
GDPR Consent Receipt Extension
Most EU cookie ‘consent’ notices are meaningless or manipulative, study finds
Natasha Lomas → https://techcrunch.com/2019/08/10/most-eu-cookie-consent-notices-are-meaningless-or-manipulative-study-finds/
Dark pattern research:
https://uxdesign.cc/the-12-types-of-dark-patterns-and-why-you-should-care-38a7b584777b
https://www.eff.org/deeplinks/2019/02/designing-welcome-mats-invite-user-privacy-0