READ ME

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General information
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Author: Sean Peacock
Contact: s.peacock@newcastle.ac.u
DOI: https://doi.org/10.25405/data.ncl.20522175
License: Attribution 4.0 International (CC BY 4.0)
Last updated: 15/11/2022
Related article: Aare Puussaar, Kyle Montague, Sean Peacock, Thomas Nappey, Robert Anderson, Jennine Jonczyk, Peter
Wright, and Philip James. 2022. SenseMyStreet: Sensor Commissioning Toolkit for Communities. Proc. ACM
Hum.-Comput. Interact. 6, CSCW2, Article 324 (November 2022), 26 pages. https://doi.org/10.1145/3555215

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Introductory information
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Files included in the data deposit (include a short description of what data are contained): 

1) sensor location mapping entries
2) Source code for Fidas Frog Parser
3)


Explain the relationship between multiple data sets, if required:



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Methodological information
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A brief method description - what the data is, how and why it was collected or created, and how it was processed:

Location based data entered by users of the Sense My Street platform about the environmental issues. 



Instruments, hardware and software used:

Data is collected using the Make Place (https://make.place/) platform and obtained via the API (https://sensemystreet.uk/docs/)


Date(s) of data collection: 

June 2017 -  April 2020


Geographic coverage of data:

Newcastle Upon Tyne


Data validation (how was the data checked, proofed and cleaned):
Data entries have been done by users with validated email addresses. Data from the API has been cleaned and transformed into comma separated file with metadata fields truncated.


Overview of secondary data, if used:



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Data-specific information
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Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: 



Explanation of weighting and grossing variables: 



Outline any missing data: