ZOOM DATA MAPPING · SDMX
A unique data service for mapping, storage and visualisation.
Developed in cooperation with the Aidsfonds foundation and Leiden University as one of the first data (mapping) services delivered by Zimmerman.
IATI Secretariat
UI/UX Design, Prototyping, Frontend Dev
React.js, Nivo Charts, Django, GraphQL
2019
One platform. Three pillars of data exploration.
Zoom is a unique data service that excels in offering 3 main components of data exploration: mapping, storage and visualisation. Zoom provides you ultimate control over the data sources you need to work with, as all datasets can be fed into the system and mapped to a harmonised data model.
The Zoom data model is based on the SDMX data model (Statistical Data and Metadata eXchange) and provides great flexibility and interoperability.
The increased availability of data provides new opportunities.
The increased availability of data provides new opportunities to support sustainable development. In 2016, Aidsfonds started to explore how to make use of the availability of data to improve its information position in combating the Aids epidemic.
A smooth data mapping experience.
Upload
User uploads a CSV formatted file into the platform.
Identify
Zoom leads the user through identifying column names and their data types.
Clean
Dataset is cleaned based on suggested errors detected automatically.
Map
Column values are identified by type and mapped — resulting in a fully mapped dataset ready for visualisation.
What Zoom offers.
Apache Solr index
Sub-second queries across millions of activities, transactions and budgets.
Public REST API
Documented endpoints with paging, filtering and faceting for every IATI element.
JSON · XML · CSV
One query, three formats. Built for analysts, developers and spreadsheets alike.
Validation feedback
Publishers see exactly why a file was rejected, with line-level errors.
Continuous ingestion
Scheduled crawls and incremental updates keep the index fresh by the hour.
Versioned codelists
Full support for evolving IATI standard versions, side by side.
Access control and data protection.
All mapped datasets can be assigned access permissions: public, team-based or private, thereby allowing for collaborative data exploration within a closed circle of researchers or as open data depending on data licensing in place.
For organisations who collect their own data rather than work with public datasets, the possibility to restrict access rights is essential for protection of confidentiality and personal data. A separate data guideline has been produced as part of this work.
Open source, always.
All software produced by Zimmerman is openly licensed and can be found on Github for anyone to use. Zoom is licensed under the AGPL Version 3 license.
Have a data platform or transparency initiative in mind?
We partner with public-good organisations to build the data infrastructure their mission depends on.