WikiProject Uganda/Jinja District Health Facilities Import

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Goals

The goal is to import health facilities of Jinja released by the UBOS (Uganda Bureau Of Statistics). These facilities go from health centres to Hospitals like health Centre I,II,III,IV and referel hospitals

Schedule

  1. Preparation, discussion: To be started on 21 Wednesday February 2018.
  2. Import: Expected to start immediately once the dataset is validated and continue for the next one week.

=Data Description

Acording to the Uganda Bureau of Statistics: "These data was collected between 2010 and 2014, based on Arc1960 UTM 36S, for the sole purpose of census enumeration, management and administration, and it could include minor naming mistakes, small measurement errors and be out of date for some new service facility developments in health. Therefore, it should be used cautiously within its limitations."

The original dataset is in shapefile format.It consist of 3667 Health Facilities

The dataset contains several field attributes, some of them being useful for import.

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Data Reduction and Simplification

The data is originally in shapefile format. You can download the original data from

Tagging Plans

Each Health facility node will have the following tags:

UBOS key OSM tag Comments
DISTRICT addr:district
HSD addr:county HSD=Health Sub District
SC addr:subcounty
PAR addr:parish
VILLAGE addr:village
OWNER operator:type
AUTH operator
LEVEL health_facility:type
STATUS operational_status
UNITS name

Import Type

The import will be done manually through one project in the HOT Tasking Manager (TM), having for each task of the project only the Jinja health facilities nodes that lie within the task tile, in a similar way as it was done for the Central African Republic UNICEF import and other similar imports. For each task, we will first check the Jinja health facilities nodes to be imported, and second we will assess the data already in the OSM database against the UBOS data, for the merging of the UBOS data into the OSM database. The OSM mappers who will contribute to this import project will follow a detailed workflow to accomplish this.

Note: Each facility node is a very good source of place=* data. Many of the places where these facilities are located aren't yet in OSM, so we can use that information to produce place nodes. But that info will better be incorporated in a different and independent import project.


Data Merge Workflow

Team Approach

Import will be undertaken by experienced OSM mappers, using an import specific OSM user account, following a workflow similar to the ones set for the [1] import of UBOS (Uganda Bureau of Statistics) education facilities. They rage from Health centres I,II,III,IV and referal hospitals.

References

The import will be discussed first in the Talk-Ug list, and then in the Imports list.

Workflow

You can see the workflow [2].

Reverse plan

In case of any trouble, JOSM reverter will be used.

Conflation

The location of the health facilities nodes is generally never more than 150-200 m of the real location, but following the already mentioned workflow, we will place the nodes in the exact position. In case we can't be sure about the location (quite rare), we will leave them in the original position and add a fixme=Please, check the position of the node tag to the node.

If other health facilities are encountered, they will be compared with the UBOS ones and merged, keeping all info that the old nodes have. In case of doubt, a fixme tag will be placed, the issue will be reported in the comment of the task (tile) of the TM project for later validation, and the user that uploaded the old health facility node would eventually be contacted if needed.

UBOS key OSM tag Comments
All objects source=www.ubos.org
All objects source:date=2010..2014
LEVEL=HCII amenity=hospital+note:code=Health centre II Health centre II.
LEVEL=HCIII amenity=hospital+note:code=Health centre III Health centre III.
LEVEL=HCIV amenity=hospital+note:code=Health centre IV Health centre IV.
LEVEL=HOSP amenity=hospital+note:code=Hospital Hospital.