Shmdoc

The project

Shmdoc is an application that aims to relieve scientific institutions’ issues with their (open) dataset management.

Through a combination of automated analysis and human-aided annotation, it tries to deliver more insight in what data is available and what connections can be made in between different datasets.

The shmdoc project was proposed by the open science team of the Flanders Marine Institute (VLIZ) under supervision of Marc Portier.

Try it out!

We've hosted a demo version of shmdoc, so you can try it out yourself. Go to the site, upload your sample datasets and the analysis will start automatically!

Once the analysis is done, you can add extra annotations to your data, or even get an overview of properties from other datasets with the same units!

The structure

To keep the large project managable, we've used the musemtech framework. This allows us to split the project in microservices and reuse components already made by other people.

This also means that we have different repositories for each of them: app-shmdoc-osoc-poc is the repository that connects all the pieces together, frontend-shmdoc-osoc-poc contains the frontend, written in vue and shmdoc-analyzer-service contains the shmdoc-analyzer, written in Python.