[HOT] Improving the quality of OpenStreetMap Data

Mon Mar 6 14:32:13 UTC 2023

I think the single most important thing HOT can do to improve data 
quality is to use JOSM buildings_tools plugin to map buildings.  It can 
be run from a USB stick and works fine with Microsoft OPENJDK so you 
don't need to install JOSM on the machine. Yesterday I added more than 
200 building=yes tags to untagged ways.  It takes a few more moments to 
train but requires fewer mouse clicks per building and normally you get 
at least 50% more buildings mapped out of brand new untrained mappers in 
a 45 minute period.  You don't need to train them on every bit of JOSM 
just enough to use the tool and upload.

Cheerio John

Samson Ngumenawe via HOT wrote on 3/6/2023 12:36 AM:
>
> Dear OpenStreetMap Contributors,
>
>
> As we are working to ensure that the OpenStreetMap data is of good 
> quality and fit for purpose, on behalf of the Humanitarian 
> OpenStreetMap Team would like to reach out to the entire OpenStreetMap 
> community, to help us achieve this goal.
>
>
> As you are aware, good-quality data is essential for effective 
> humanitarian response and disaster management. Accurate and up-to-date 
> geospatial information is critical in ensuring that aid and assistance 
> can be delivered to those who need it most. However, maintaining data 
> quality in a rapidly changing environment is challenging. We recognize 
> that this is an ongoing process and need support from the OSM 
> contributing community to help improve data quality continuously.
>
>
> At the Humanitarian OpenStreetMap Team, I am working towards 
> implementing various measures to ensure the data created from remote 
> mapping, field data, and imports is of quality. These measures include 
> data validation, data quality checks and metrics, community 
> engagement, and partnerships with other organizations like HeiGIT.
>
> To build a pool of experienced data quality enthusiasts, HOT also 
> conducts mapping events, internship training programs, and outreach 
> initiatives to help engage the communities to create awareness and 
> improve data quality.
>
> Some of the data quality improvement efforts include;
>
>  *
>
>     Top 10 data quality aspects. I have defined our top 10 data
>     quality aspects that we are focusing our efforts on
>     (https://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team/top_10_data_quality_aspects)
>     to let the community know about the sources of the errors and
>     possible ways of how such errors can be addressed. This is the
>     basis for a set of data quality metrics
>     (https://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team/Core_Impact_Area_Datasets_,_Use_cases_%26_Data_Quality_Metrics)
>     that I am working on and will be implementing to help us track the
>     quality of data in the context of the most important data uses in
>     humanitarian response and along community priorities. HOT has now
>     dedicated data quality staff in all of our Hub teams - Dinar
>     Adiatma for Asia Pacific, Shamillah Nassozi in East/Southern
>     Africa, and Omowonuola Akintola in West & Northern Africa.
>     Together with the regional Hub teams, we are creating
>     regional-specific approaches on how to address data quality issues
>     in their local context by defining data quality, regional needs,
>     tools that track data quality issues, and solving them. Please
>     read and provide feedback about the data quality approach
>     (https://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team/Open_Mapping_Hub_-_Asia_Pacific/Data_Quality_Approach)
>     for the Open Mapping Hub Asia-Pacific. These will all be based on
>     the global Data quality strategy for which I am currently defining
>     the strategic objectives for each team that will be collaborating
>     on implementing the strategy and soon I will be sharing the draft
>     data quality strategy for public review here as well.
>
>  *
>
>     I am working with the Quality Control Working Group to build an
>     active team of global data validators
>     (https://tasks.hotosm.org/teams/7/membership/) whose efforts are
>     incredible in ensuring the quality of remotely mapped data is
>     good. From the recent Turkey/Syria mapping activations, the
>     validators have played a big role in checking and fixing the
>     errors and improved the quality of the data that is being used to
>     provide response to the disaster-impacted communities in Turkey
>     and Syria. In the current response as well, we are seeing a lot of
>     new and inexperienced mappers join. Yes, there are areas where
>     quality is not good enough currently and I’m really grateful to
>     everyone that is helping us improve and validate map data.
>
>
> I am calling on all OpenStreetMap contributors to help us in this 
> effort to improve OpenStreetMap data quality continuously and I invite 
> you to share your expertise, insights, and feedback on how we can work 
> together to improve & maintain good quality data.
>
> I am always openly available for a chat/call and in case you have any 
> feedback that you would like to share with me, do not hesitate to 
> reach out to me by emailing samson.ngumenawe at hotosm.org 
> <mailto:samson.ngumenawe at hotosm.org>or data at hotosm.org 
> <mailto:data at hotosm.org>
>
> Your support and contributions are vital in making OpenStreetMap a 
> reliable and comprehensive resource for humanitarian aid and disaster 
> response.
>
>
> Thank you
>
>
> -- 
> *
> *
> https://unsummit.hotosm.org/*
> *
>
> *Samson Ngumenawe*
> Data Quality Coordinator
> samson.ngumenawe at hotosm.org <mailto:samson.ngumenawe at hotosm.org>
> Timezone: UTC+03:00 (Kampala, Uganda)
>
> *Humanitarian OpenStreetMap Team*
> *Using OpenStreetMap for Humanitarian Response & Economic Development*
> web <http://hotosm.org/> | twitter <https://twitter.com/hotosm> | 
> facebook <https://www.facebook.com/hotosm> | donate 
> <https://donate.hotosm.org/>
>
>
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