11. Data issues

Parallel session | Chairperson: Holly Woodward | Tuesday, 08 September 2020 | 12:00-13:00

12:00-12:15  |  11.1 Data quality in citizen science: a big data aggregator’s perspective

Author/s: Peter Brenton and Anne Bowser

Presenters: Peter Brenton, Anne Bowser

Data aggregators accumulate data from many sources, including citizen science projects, natural history collections, government databases and researcher datasets. These data are used by research, consulting and applied scientists, natural resource managers, industry, the general public and educators, as well as policy and decision makers in government.

Using the Atlas of Living Australia (ALA) and Earth Challenge 2020 (EC2020) as examples, we look at how data flows from collection, through aggregators and on to applied uses by 3rd parties and consider the importance of data quality and data standards in streamlining and maximising the value of data in this supply chain.

12:15-12:30  |  11.2 Citizen science and personal data protection: the LandSense approach

Author/s: Andreas Matheus, Inian Moorthy, Linda See, Matej Batic and Steffen Fritz

Presenter: Andreas Matheus

This session introduces the issues, lessons learned and best practices from the perspective of the H2020 LandSense project regarding the implementation and operation of an AaaS (Authentication as a Service) to support login from social media and academic institutions globally via eduGAIN. As a key service of the LandSense Engagement Platform (LEP), the AaaS enables a GDPR compliant exchange of personal data between users and applications accessing LEP services. Important for establishing trust in user contributions, the AaaS also supports pseudonymized access based on cryptonames that allow profiling of users without being able to resolve the identity of the user.


12:30-12:45  |  11.3 Cos4Cloud - Integrating citizen science in the European Open Science Cloud - Challenges and opportunities for developing a new generation of citizen science observatories

Author/s: Jaume Piera, Karen Soacha, Sonia Liñán, Miquel-Ángel Rodríguez, Maria Daskolia, Luigi Ceccaroni, Lara Lloret, Fernando Aguilar, Janice Ansine and Cos4Cloud consortium

Presenter: Jaume Piera

Citizen science is one of the eight priorities of the European Open Science Agenda, together with the creation of the European Open Science Cloud (EOSC). Citizen Science yields in a community that is continuously expanding. This represents large-scale challenges for citizen observatories who facilitates an efficient capture, identification, validation, stewardship and storage of large volumes of citizen science data. Within this framework, the Horizon 2020 project, Co-designed Citizen Observatories Services for the European Open Science Cloud (Cos4Cloud), aspires to integrate citizen observatories in the EOSC ecosystem, developing essential research and technology to co-design and prototype innovative services

12:45-13:00  |  11.4 Empowering individuals and communities to use personal data for citizen science

Author/s: Bastian Greshake Tzovaras and Mad Price Bal

Presenter: Bastian Greshake Tzovaras

All of our lives are increasingly digitized and connected to the internet, with each one of us creating and collecting more personal data. While these rich data collections can be highly problematic in how they can potentially be abused by both corporations and academic researchers, they also offer an unprecedented chance for research writ large, including citizen science. We present how Open Humans, a community-based platform, allows members to collect their data across; gives them tools to explore it along with controls to share their data with a variety of projects to enable participant-led citizen science.