Mobile Apps for Research Data Collection
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Transcript of Mobile Apps for Research Data Collection
Mobile Apps for Research Data Collection
Dr Simon Price (Research IT Manager)Polly Eccleston (Research IT Facilitator)
UK Butterfly Survey
BatMobile
How it worksLat/Long obtained via phone’s GPS in the field
Normal accuracy between 2 and 8m
51.391709743,-
0.170123657 Photo + Metadata
iRecord Butterflies (Butterfly Conservation)
• 31,000 surveys submitted this year.
• 2x Springwatch 2014 and 1x Autumnwatch 2014
• Data is being used by Butterfly Conservation to monitor butterfly populations year and year.
• A significant public engagement tool for them.
PlantTracker (Environment Agency)
• 10,000 verified records of invasive plants submitted.
• Many projects using the data to tackle invasive non-native species. e.g. Yorkshire wildlife trust and Jersey Council
• Probably the highest quality data set on invasive plants on the NBN Gateway
• Data downloaded at least once per week on average by researchers and others interested in the data
Why it works
For researchers: – Geo-located data– Photo attached (verifiable… most of the time)– Enables previously impractical surveys– Improves public understanding of research
For the public:– Apps themselves are informative– Accessible by anyone (potentially)– Feedback via immediate visibility of contribution
onlinesurveys.ac.uk
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• BOS launched in 2003.
• £1m+ redevelopment from 2011 to 2014.
• New BOS released October 2014.
• Free for UoB researchers.
Who uses BOS?
• Over 85% of UK HEIs
• National "benchmarking" surveys (60+ universities)– Careers in Research Online Survey (CROS)– Postgraduate Research Experience Survey (PRES)– Research Leaders survey
• Free for UoB researchers (180+ Bristol accounts)
App development in BOS
• Build data collection apps yourself without a developer.
• Mobile websites (& can package as app).
• Today:• Surveys, web forms, logic and general data collection
• Planned:• Geolocation, maps, access to camera and sensors
BatMobile
BatMobile project
• SoundHound, Shazam etc. enable people to identify songs they hear, using a mobile app.
• BatMobile applies the same principle to identify species of bats from their ultrasonic calls.
• Challenges:– realtime on a mobile– online vs. offline analysis– ultrasound => need a special microphone