Two words: Disaster Response Although OSM will break down without its hard-won reputation for accuracy, there is also the case for 'some data being better than no data'. It's the old argument, I think, but for us this data is vital, however incomplete. We work with aggregated data:
Building materials and standards are used to map: Cholera, Malaria, Earthquake risk, general poverty levels, flood risk, vulnerability to infection, TB outbreaks, population per building, whether structures are temporary (refugee) permanent (hosting community), fire risk (spreading). These are practical/technical elements not always at the forefront of the digital mind. When we plan a $10million intervention with only $3million, we need to know the areas where there is most risk. A simple look at OSM metrics of, say, thousands of grass rooves amongst tin rooves in a fire, or hundreds of mud walls instead of concrete in an immanent flood, really helps. At this point, this data directly impacts and/or saves thousands of lives. That's my obsession. Best, Rupert *Rupert Allan* Country Manager - Uganda E-Mail: rupert.al...@hotosm.org Uganda:+256777656999 (mtn) /+256792297795 (africell) UK: +447970540647 Skype: Reuben Molotov *HOT Uganda *twitter <https://twitter.com/hotosm_uganda> | instagram <https://www.instagram.com/hotosm_uganda/> *Humanitarian OpenStreetMap Team* *Using OpenStreetMap for Humanitarian Response & Economic Development * web <https://www.hotosm.org/> | twitter <https://twitter.com/hotosm> | facebook <https://web.facebook.com/hotosm?_rdc=1&_rdr> | donate <https://www.hotosm.org/donate> On Tue, Jul 3, 2018 at 7:12 AM Lists <blsli...@gmail.com> wrote: > I concur with the points made by Jean-Marc Liotier. As Deming said in the > 50's, it is important to build quality into the process, not depend on > checks after the fact. > > Along those lines, I still think that we could have an AI program do a big > part of the initial mapping. > > > Bryan Sayer > > > -------- Original message -------- > From: Jean-Marc Liotier <j...@liotier.org> > Date: 07/02/2018 10:58 AM (GMT-05:00) > To: AMEGAYIBO Kokou ELolo <amazan...@gmail.com> > Cc: t...@openstreetmap.org, hot@openstreetmap.org > Subject: Re: [HOT] Why the HOT obsession with low quality buildings in > Africa ? > > On Mon, July 2, 2018 11:55 am, AMEGAYIBO Kokou ELolo wrote: > > > > The majority of these tasks were created in training workshops on > > OpenStreetMap in Bamako, quality control work is done afterwards by the > > local community normally. I share your points of view, but for training > > workshops it is our best method to channel, control the work of the > > newbies and also familiarize them with the use of the Tasking Manager. > > I am open to any contribution who can help us improving our approach. > > I understand the difficulty of getting large numbers of new contributors > started with Openstreetmap - mistakes are normal and must be accepted as a > cost of growing the project. Nevertheless, I think that there are ways to > keep that cost lower. > > First, and most important, I believe that quality control should not be > relegated to "done afterwards" - especially with less proficient > contributors who are most likely to make mistakes, and especially if they > are enthusiastic (it pains me to see incredible dedication in go to > waste). Quality control must be an integral part of the contribution and > that must be drilled into new contributors as early as possible. Insist on > using the JOSM Validator, have the users look at their own contributions > on Osmose... Show them how to be more responsible of their own work ! Or > course, having experienced users supervise is valuable but they are a > scarce resource and most importantly they risk infantilizing less > experienced contributors. Most of my own contributions start with looking > at Osmose, seeing a bunch of errors and I start editing there... Quality > control is a core skill for everyone, at every level of proficiency. > > Second, have users. Creating data costs, maintaining it costs... Why are > we doing it ? We are doing it for users. How do we judge quality ? I am as > fond of the map as an aesthetic object as anyone here but we all agree > that we want to put our efforts to good uses - so we judge quality by the > fitness of the product for a particular use. If the data has no users, it > is dead data. For example, as a user, I am a walker and a cyclist - I > enjoy buildings on the map as landmarks to help me navigate... That is my > personal way of judging quality - but other users may have other ways: to > some users the purpose of having buildings in Openstreetmap may just be > "there is a building here and its shape is not that important" - and maybe > those users are the majority, who knows ? So, as a producer of data, be > aware of how the data is used - that is the key to rational quality > control. That remains true if you just chose the buildings as a new > contributor training object. > > Third, make sure that the most recent imagery of decent quality is used. > For the specific case of Bamako and at the current time, ESRI World is > better than Bing: https://i.imgur.com/w6YBG70.jpg - of course, this is > subject to change over time. In understand that, for lack of available > properly surveyed geodesic reference points, large numbers of users > working with multiple sources of imagery generates its own challenges (I > found that particularly frustrating in Dakar's suburbs). > > _______________________________________________ > HOT mailing list > HOT@openstreetmap.org > https://lists.openstreetmap.org/listinfo/hot > _______________________________________________ > HOT mailing list > HOT@openstreetmap.org > https://lists.openstreetmap.org/listinfo/hot >
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