From Citizen Science to Open Science

Slides used during the "Open day on Open Science: Drop your data FAIR", organized by DANS-KNAW. Programme here: https://dans.knaw.nl/nl/actueel/agenda/drop-your-data-fair

Transcript

1. From citizen science to open science
   Irene Garcia-Marti (KNMI / UTwente)
   Cees van den Wijngaard (RIVM)
   Margriet Harms (RIVM)
   Arnold van Vliet (WUR)
   

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2. open data
   open source
   open access
   open educational resources
   infra & data technology
   open
   science
   transparency
   research integrity
   scholarly publishing
   increased collaboration
   speed-up production results
   increased'openness' throughout the researchcycle
   

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3. what is open data? (from OKF)
   availability& access
   re-use and redistribution
   universal participation
   open
   data
   High-quality
   sensor networks, simulations
   small number of collectors
   usual suspects:
   administrativedata: PDOK, CBS
   climate & RS: copernicus, KNMI
   data tech: UCI ML repo, Kaggle
   

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4. Alive and kicking in env sci and
   ecology for 2 decades, recently
   taking off in the climate sciences
   citizen
   science
   Variable data quality,
   but volume and pervasiveness
   is difficult to ignore
   principleof enablingindividuals
   with an electronic device to take
   measurements of the most
   immediate surroundings
   

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5. citizen
   science
   open
   data
   open
   science
   

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6. Citizens collecting data about ticks
   Source: RIVM
   Roughly 25,000 cases of Lyme borreliosis per year in the Netherlands
   

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7. Modelling tick data
   Obtaining indicators of tick dynamics and tick bite riskto assist
   at creating tick mitigation and awareness campaigns
   

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8. Tick Hazard Human exposure Tick bite risk
   

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9. Packing content
   Importance of depositing data in DANS!
   

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10. citizen
    science
    open
    data
    open
    science
    

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11. Privacy
    Citizen science data might contain
    personal information:
    • Individual privacy must be protected
    under European laws
    • Organizations can't share personal
    information with the general public
    • Consequence: conflicting with the
    "open data" principle
    

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12. Privacy
    personal
    experience
    • Legal: data transfer agreement between WUR, RIVM
    and ITC (UTwente)
    ❖ Tick data can be used for research within ITC
    ❖ Redistribution is prohibited
    ❖ Data was anonymized, but there was a location
    • Transfer: yearly update of observations
    • Be in sync:
    ❖ Progress meetings: how are you using data?
    ❖ Collaboration in research articles
    • Overall: positive experience
    ❖ Organizations were open to do research
    ❖ Terms and conditions were established
    ❖ Data was prepared fast (thanks!)
    ❖ Interested in getting feedback
    

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13. Privacy
    walk in my
    shoes
    • Sometimes citizen science data can't be
    open and that might be a good thing
    • Open questions:
    • Do people actually need the (raw)
    observations?
    • What about making...
    ...aggregated products?
    ...services and real-time indicators?
    

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14. Conclusion
    • Citizen science has the potential of contributing to
    open science:
    • Ubiquity of humans means we can
    monitor anything
    • Privacy issues need to be considered
    case by case
    • Researchers: better understand the importance
    of open science
    • Promote the use of open-source software and
    programming languages (reproducibility)
    • Depositing your research data in a public
    repository (findable, accessible, interoperable)
    • Organizations: assess whether data can be
    (partially) open
    • Open the door to new research lines
    • Explore ways of anonymizingdata
    • Release aggregated products instead of raw
    

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15. Thanks
    

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