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Getting Started with CEMA Warehouse

This guide will help you get started with accessing, exploring, and using the datasets available in our centralized repository.

Getting Access

Step 1 : Register

  1. Go to the CEMA Warehouse homepage and click Login at the top right corner.
  2. New members will have to click the sign in button to Register. Register new account
  3. Fill in your full name, organisation (e.g. CEMA), and your institutional email.
  4. Choose a password (at least 8 characters).
  5. Click Create account.

You will see a confirmation screen telling you your account is pending approval.

Step 2 : Wait for approval

An administrator will review your registration. This usually happens within one working day.

Tip: To speed things up, send a quick email to anne.kariithi@cema.africa to let the team know you've registered.

Step 3 : Log in

Once approved, go back to the warehouse and click Log in. Enter your email and password. Login

Once logged in, you'll be redirected to the home page.


3. Navigating the Warehouse

Once logged in, the navigation bar at the top of every page gives you quick access to:

Menu item What it does
CEMA logo Takes you back to the home page
Search bar Search any dataset by name, keyword, or description
Browse Data Open the full dataset catalogue
GIS Browse maps and spatial datasets (shapefiles, rasters)
Upload Add a new dataset to the warehouse
API View documentation for programmatic data access
Admin (Admins only) Manage users, datasets, and categories
Your name Go to your profile page
Log out Sign out securely

Keyboard shortcut: Press Ctrl+K (or Cmd+K on Mac) anywhere on the site to jump straight to the search bar.


4. Finding Datasets

Type any word related to what you are looking for - a disease name, a region, a year, or a topic. Results update as you search.

Examples of good searches: - STH prevalence - maternal mortality subcounty - Kenya census - animal surveillance 2022

Browsing by category

On the Browse Data page, the left sidebar lists all categories. Click a category to filter the list. If there are subcategories, they will appear below the parent category when you click it.

Current top-level categories include:

  • Neglected Tropical Diseases (NTD)
  • Health Systems
  • Health Status
  • Demography
  • Animal Surveillance
  • Veterinary Services
  • Disease Burden
  • DHS (Demographic and Health Surveys)
  • Finance
  • GIS / Spatial

Filtering by tag

Within a category, you may see coloured pill buttons (e.g. "STH", "Taeniasis", "Schistosomiasis"). Click any pill to further narrow results to datasets tagged with that label.


5. Understanding a Dataset Page

When you click on a dataset, you will see its detail page. Here is what each part means:

Header area

  • Category badge — the category this dataset belongs to (e.g. "Neglected Tropical Diseases › STH")
  • Version badge — which version of the data you are viewing (e.g. "v2.0")
  • Title and description — what the dataset is and what it contains
  • Metadata strip — source organisation, last updated date, number of rows, version number, and data steward name

Tabs

Tab What you will find
Data Preview A live preview of the first 50 rows. Scroll right to see all columns.
Schema A list of every column, its data type, and a sample value. Useful for understanding the structure before downloading.
Provenance Where the data came from, how it was processed, and who is responsible for it.
Version History (Admins only) A log of every version of this dataset.
  • Download buttons — download the data as CSV, Excel, or Parquet
  • API Access — code snippets to access the data from Python, R, or the command line
  • Data Steward — the person responsible for this dataset, with a contact link

Next Steps

  • Data Contributors: See the Uploaders Guide to contribute data
  • Reseachers and developers: Check out our API Reference for programmatic access
  • Questions?: Visit our FAQ section

Support

Issue Contact
Account registration / approval anne.kariithi@cema.africa
Cannot find a specific dataset anne.kariithi@cema.africa
Data quality concerns Contact the Data Steward listed on the dataset page
Technical bugs or errors anne.kariithi@cema.africa
Feature requests anne.kariithi@cema.africa

Need help? Contact me or consult the documentation sections for detailed guidance on specific tasks.


CHEERS!