Citizen Science and Personal Data Protection
| Main Authors: | Matheus, Andreas, Moorthy, Inian, See, Linda, Batič, Matej, Fritz, Steffen |
|---|---|
| Format: | info Proceeding eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4017468 |
Daftar Isi:
- This paper introduces the issues, lessons learned and best practices from the perspective of the H2020 LandSense project. LandSense, is a modern citizen observatory for Land Use & Land Cover (LULC) monitoring, connecting citizens with Earth Observation (EO) data to transform current approaches to environmental decision making. A critical component within the project is the LandSense Engagement Platform, a service platform comprised of highly marketable EO-based solutions that contribute to the transfer, assessment, valuation, uptake and exploitation of LULC data and related results. The platform engages citizens to view, analyze and share data collected from different citizen science campaigns and create their own maps, individually and collaboratively. Furthermore, a key pillar of the platform is the LandSense Federation which supports users to authenticate from a variety of login providers using social media (i.e. Facebook and Google) and some 2500 academic institutions globally (eduGAIN). Within LandSense we illustrate a comprehensive implementation solution to overcome the GDPR hurdles and recommend a common interoperable infrastructure architecture. Based on Single-Sign-On and the user’s option to “opt-in”, we offer an extendable platform where operators and citizen scientists can come together. Additionally, it is possible to support the common use of citizen science data, already collected in different operator portals or “data silos.” Operators can opt-in by registering applications, services or data access APIs based on their needs for personal information; the levels include anonymous users, users identified via cryptoname, and users fully identified by their personal profile. This tiered approach provides the opportunity for operators to make applications and services available without the need to become a GDPR compliant data controller or processor if the service does not require personal information. On the other end of the spectrum, it is also possible that a registered application, service or API receives full user profiles after the users’ approval. Using an open standards-based framework, this paper shares experiences and recommendations from the LandSense team, that are relevant for promoting the use of citizen science in Europe while ensuring GDPR compliance.