Unlock the full potential of metabolomics research. The IMDS empowers researchers and industry professionals to discover studies and datasets from teams across the world, and to further analyze and refine their data in order to extract valuable insights.
Features
Whether you're a researcher or professional working in the industry, the IMDS has got you covered.
If you are releasing a scientific publication, you can choose among trusted repositories such as METASPACE or MetaboLights to host your datasets.
No matter your needs, there is a workflow available to suit them. Use METASPACE to perform metabolite annotation, or choose among many available tools on Datoma or MetaboLights Labs.
Thanks to the use of web-based technologies, the only thing you need to get started is a browser. It's all just a few clicks away!
There are many ways you can contribute to the ecosystem. You can publish your studies on a public repository, or you can release useful tools for the community.
The architecture for the International Metabolomics Data Space is based on the International Data Spaces Reference Architecture Model (IDS-RAM).
Find out more about the different participants and components that make up the data space
The Data Owner/Source is an entity or a person capable of creating data or executing control over it. Likewise, the Data Owner/Source can define policies to provide secure access to its data. In this way, the Data Owner/Source makes the data available for the Data Provider.
The Data Provider is responsible for providing the data to the Data Consumer from the Data Owner. Additionally, the Data Provider facilitates data discovery by the Data Consumer by sending metadata about the stored data to the Data Broker.
The Data Consumer is in charge of receiving the data from the Data Provider. The Data Consumer can perform data sourcing from the Data Broker.
The Data Broker is responsible for ensuring secure access and discovery to data and the confidential execution of analytical applications in our platform. Its core is formed by two key components: the confidential data exchange, a rich metadata platform for data encryption to facilitate private data discovery, and a confidential and federated orchestration layer for edge workflows that fulfill security and confidentiality requirements.
The Data Connector aims to establish optimized data management operations based on new Extract, Transform and Load techniques to efficiently handle extreme health data.
The App Store is a digitial marketplace that aims to provide data applications. These data applications present different data processing workflows.
The Identity Provider manages user identities to perform data creation, management, monitoring and other operations. In addition, it controls the access of identities to the data in order to ensure security and confidentiality.
Repositories to publish and share experimental data
Easily analyze and process data with a wide range of tools
The following slides show how to browse repositories using the Data Broker, and import files to an App Store (Datoma).
First step: On the data broker, choose the type of data you are interested in (MSI datasets from METASPACE or studies from other sources)
If you choose the second option (studies), this is what you will see. You can search using keywords (which will locate studies that match either the title, description or organism)
If you choose to search METASPACE datasets, this is what you will see. The search capabilities are more limited, but you will be able to see the ion image previews, as well as the organism, organism part, and a brief indication of its condition. You will also be able to import the files to your workspace on Datoma, to use with its App Store.
To import the files to your workspace on Datoma, choose a folder where the files will be stored. Folders help keep your workspace organized, so you can easily find what you are looking for.
To use the dataset you have imported to your workspace on Datoma, first choose one of the tools from the App Store. Then, in the relevant input section, click on "Add from workspace".
Once the dialog to choose files from your workspace shows up, open the folder where you have stored the dataset. Then, choose the files that you want to process. Remember that imzML datasets consist of two files, an imzML file and an ibd file. You must select both in order to process the dataset.