I’m Minh Nguyễn, a software developer at Mapbox and resident of San José, California. I’m a prolific armchair mapper with a particular interest in Cincinnati, Ohio, where I grew up. I map and translate on a volunteer basis – I don’t get paid to contribute. I’m also an administrator at the Vietnamese Wikipedia and some of its sister projects.
Tôi tên là Nguyễn Xuân Minh. Tôi là nhà phát triển phần mềm làm cho Mapbox, đến từ San José, Ca Li. Tôi “ngồi ghế bành vẽ bản đồ” và chú trọng vào Cincinnati, Ohio, nơi sinh trưởng của tôi. Tôi tình nguyện vẽ bản đồ và biên dịch; tôi không nhận tiền vì việc đóng góp vào đây. Tôi cũng làm bảo quản viên tại Wikipedia tiếng Việt và một số dự án liên quan.
Map data is a public resource that all people should be able to depend on. I contribute to OpenStreetMap to help narrow the digital divide:
Dữ liệu bản đồ là một tài nguyên công cộng mà đáng lẽ phải tất cả mọi người có thể dựa vào. Tôi đóng góp vào OpenStreetMap để giúp thu hẹp khoảng cách số:
Years ago, my hobby was making maps of cities, both real and imagined. I became frustrated by the numerous embarrassing errors in print and online maps of my hometown, Loveland (a suburb of Cincinnati, Ohio), and made it my goal to eventually produce an error-free, comprehensive, and up-to-date map of the city. OpenStreetMap gave me the opportunity to do that, using both aerial imagery and boatloads of local knowledge from the bus ride home each day to correct the messy TIGER data that forms the basis of every U.S. map.
The project’s freedom was intoxicating: because I never had to ask for permission to help shape the map, I ended up mapping Loveland down to the most minute detail, then moving on to all of metropolitan Cincinnati, then much of Ohio. In some cases, as with the Little Miami Scenic Trail, I helped OpenStreetMap scoop Google Maps by years. All the while, I stuck to the same tools the beginners use: the online iD and Potlatch editors.
These are tasks I typically perform all over the place, not just in Loveland:
- Realign particularly poorly aligned roads imported from TIGER 2005.
- Draw and name streets constructed since TIGER 2005.
- Tag bridges and cul-de-sacs.
- Draw shared driveways and alleyways.
- Expand abbreviations in TIGER street names.
- Draw large buildings, typically prioritized in order of: factories and malls; schools and strip malls; apartments and retail buildings; and houses, garages, and doghouses.
- Map major power lines, placing a point at each pylon.
- Convert GNIS points of interest (cemeteries, churches, parks, golf courses, schools, reservoirs) to polygons.
- Draw athletic fields.
- Draw ponds, backyard swimming pools, and other small bodies of water that the NHD dataset is likely to omit.
- Compile route relations for major bike trails.
- Add highway entrance and exit destinations.
- Add lane counts, turn lanes, and lane change restrictions.
- Add sidewalks and crosswalks as ways.
- Complete Santa Clara Valley coverage assessment.
- Transliterate every last Chinese place name into Sino-Vietnamese for this map.
- Remove boundary=administrative from CDPs in Warren County and Northern Kentucky.
- Map townships in
Hamilton, Clermont, Warren, and ButlerCounties.
- Finish mapping
the Ohio-to-Erie trail andOhio portions of the Underground Railroad Bicycle Route.
- Map buildings in Covington and Clifton.
- Finish mapping the boundaries of Cuyahoga Falls National Park.
- Revert ways promoted from ref=SR * (secondary route) to ref=TN/VA * (primary route) by MapRoulette editors who ignored state-specific distinctions between secondary and primary routes. 
For the most part, I contribute in areas where I have personal experience, so no copyright issues are concerned. Also, I've relied on the Yahoo!, Bing aerial imagery, and Mapbox Satellite layers in Potlatch and iD for the vast majority of the features that I've tagged. Beyond these obvious sources, I've used some sources with acceptable copyright statuses:
- The public-domain USGS Topographic Maps layer. Many of these maps are woefully out of date, particularly with regard to street configurations. However, I mainly use these maps to provide names for features that I know exist (either from personal experience or other sources).
- USGS aerial DOQ imagery and USDA NAIP imagery.