Data repositories

To make research data available, it is recommended that it is registered in a data repository.

There exists a large number of data repositories for publishing and sharing data such as:

Zenodo is a repository created by CERN and OpenAIRE. In Zenodo you can upload up to 50 GB per dataset free of charge. It is possible to connect data in Zenodo with the associated source code made available through GitHub.
Figshare is a general data repository used by and available to researchers from all disciplines. It is possible to upload up to 20 GB free of charge.
BioStudies is a data repository for descriptions of biological studies. BioStudies is included in ELIXIR's list of recommended databases.
KI Data Repository: the data are stored locally at KI while metadata is searchable through the portal of the Swedish National Data service

More repositories, both general and subject-specific, are listed at Re3data.org. Here you can search for information about repositories or browse and filter by topic, area, certification, metadata standards, etc.

Publishing research data in established repositories gives you several advantages as a researcher:

You will "automatically" create standard metadata that makes your dataset interoperable and reusable
The dataset will get a permanent identifier (PID), which makes it accessible and enables correct citation where the dataset is linked to a publication.

Datasets containing personal data

Datasets containing personal data of any kind cannot be uploaded to open repositories. You can still use repositories to create a metadata record to describe the dataset that contains personal information, while the files in the dataset can be made available to other researchers upon request and upon signing a data access agreeement.

Examples of repositories that can be used to share personal data in a controlled way are:

Scripts

If you use scripts to analyse data, good practice is to annotate the scripts and publish them openly for example in Github. That way, it will be clear to other researchers what methods were used, regardless of whether the data set is openly available or not.