Every day I have been adding and fixing OpenStreetMap data. I have learnt and contributed in creating data of the highest possible quality in collaboration with the OpenStreetMap community.

Over this year I have created, edited and modified around 44,000 changesets. 😃

It has been a wonderful experience, during this time I learnt everything from mapping objects to using JOSM and various plugins.

In this year I worked on several Mapbox projects, such as:

• Make Ayacucho the best map in Latin America
• Import buildings
• Map bus route in Ayacucho - Peru
• To align roads in Taiwan
• To solve misalignment issues Data in Taiwan
• Offset database for Bing satellite imagery in Taiwan
• OSMCha
• Map turn lanes in OpenStreetMap
• To solve To-fix task
• Use the To-fix plugin in the Tiger delta task
• Make a map, eliminate Malaria

As I got a clear understanding about the OpenStreetMap data, I realized that how my mapping is contributing in making of the best map of the world.

HOW CAN YOU IMPROVE THE MAP?

This is very easy 😅 , out of the many tools available, you could start of by using these three tools that I started with, such as: OSMCha, to-fix and osmlint.

1. OSMCha is a tool of changeset level notification, giving an overview of how many objects were affected in a changeset. A set of suspects words automatically flag some suspicious changes. Custom filters can be used with changeset comment, source, and other combinations to look for suspicious edits. You can read this for more information:

• Improving OSMCha
• An open database of inconsistent edits observed on OSM from OSMCha
• Validating the map - Part 1
• Monthly roundup - common errors and unexplained edits observed
• Validation Scoop: Inconsistent edits observed

2. To-fix is a micro-tasking tool that breaks large data curation tasks into smaller jobs that are systematic and repeatable.

• Improvement of OSM data quality using osmlint and to-fix

3. OSMLint is a tool identify common geometry and metadata problems OpenStreetMap data. OSMLint processes vector tiles with turf.js and TileReduce to produce geojson files of detected data errors.

• Osmlint to detect errors in OSM

These are few of the tools that have help me contribute to this beautiful map of the world! 🗺