RFUK health facility import cameroon
The goal is to import community health provision data from Cameroon.
- Share the data - DONE
- Sign the the OpenStreetMap Foundation authorisation letter - DONE
- Data preparation
- Group call to review and discuss data as is - DONE
- Move data to OSM aligned spreadsheet - DONE
- Clean the data - TODO
- Community buy in
- Discuss the tagging plan and answer questions from the community - In progress
- Import review
Import: April 2021
Announce Import : https://lists.openstreetmap.org/pipermail/talk-cm/2020-October/000311.html
- Data source site: rainforestuk.org
- ODbL Compliance verified:Yes
The data has been collected by mapping facilitators from local organisations (Brainforest, CADEM, CED, DGPA, Foder, GASHE, MEFP, OCDH, RRN) in collaboration with local communities and the support of the Rainforest Foundation UK (RFUK).
- Raw data Cameroon health facility list (in csv format)
Method of import: All the imports will be done using JOSM with the import specific OSM accounts.
Here we list all the original tags with their corresponding translation into the OSM tagging schema, plus additional tags for all segments:
|RFUK key||RFUK values meaning||OSM tag||Comments|
|VIL_NAME||Name of the village the feature belongs to||addr:place||addr is the prefix for several addr:* keys to describe addresses|
|YEAR||Year of data collection||source:date||For indicating the date when the source of information of anything added to the OSM database was taken.|
|NAME||Name of the health facility||name||The primary tag used for naming an element|
|TYPE||Type of health facitility||amenity||For describing useful and important facilities for visitors and residents|
|ASS_VILLGS||List of associated village(s)||/||Ignored for this import|
|A_PATIENTS||Number of patients received per year||/||Ignored for this import|
|BEDS||Number of beds in the facility||beds||Indicates the number of beds in a hotel or hospital|
|BUILD_TYPE||Building material type (earth construction, timber construction, cement brick construction, corrugated iron roof etc.)||building:material||used to describe the outer surface material of building walls, also know as the facade or façade.|
|GP_COUNT||Number of doctors in the facility||staff_count:doctors||Indicates the number of doctors in a health facility|
|NURSES||Number of medical staff (nurse, midwife etc.) in the facility||staff_count:nurses||Indicates the number of nurses in a health facility|
|ADMIS_REAS||List of main reasons for admission||/||Ignored for this import|
|HEALTH_DIF||Difficulties encountered by the health facility||/||Ignored for this import|
|DATE_SURVD||Date of survey (automatic from collection app)||/||Ignored for this import as it is a duplicate of the information stored in YEAR|
- Select OSM supported health attributes from raw data Cameroon health facility list (in csv format)
Data transformation results
We will use the following changeset tags:
- comment=Rainforest Foundation health facility import 2020' and source 'Rainforest Foundation
Data merge workflow
Workflow / Conflation
The cleaned up data sets will be divided into sections and assigned to the each user based on region.
Every individual user will follow the below instructions:
- Install the ToDo list and the OpenData plugins in JOSM
- Load the cleaned csv file into JOSM.
- Convert/save the csv file as .geojson/.json or .osm (To be confirmed).
- Select all the elements and add to ToDo list.
- Go to the first element, download OMS data and check all the attributes of the same - the address, position of the feature and check for another similar feature in the area.
- If the feature is already existing in OSM then add the missing attributes.
- If there isn't a feature and the address of the element is correct then copy the same into the OSM layer.
- Repeat with all the elements on ToDo list, verify with JOSM validator and upload the changes with the import changeset tags.