SciLifeLab / Data & AI

Data & AI

Data and AI are central at SciLifeLab, reflecting that life science research is becoming ever more technology- and data-driven. 

SciLifeLab offers support for data management throughout the data lifecycle. This includes the provision of services, consultations, and access to infrastructure for everything from project planning to data reuse.

SciLifeLab has a history of developing AI and making AI-driven discoveries. The AI strategy of SciLifeLab ensures that it will remain in a position to lead the development and integration of AI into life science at both national and international levels.

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Data Policy and AI Strategy

Data services

Services intended to aid users with data management at all stages of the data life cycle.

Bioinformatics support

Direct support with planning, analysing and submitting data.

Data infrastructure

Get access to national resources for data storage and compute.

Offers hosting for apps (e.g. Shiny and Dash apps), and serves machine learning models.

Summarises the extensive efforts at SciLifeLab related to Open Science.

Facilitates the promotion and sharing of Swedish research related to infectious disease.

Enables the sharing of life science data for which there is no subject-specific repository.

SciLifeLab Data Policy

The first version of the SciLifeLab Data Policy has been released.

SciLifeLab AI Strategy

The SciLifeLab AI strategy is accessible through link below.

Seminar series

We have a number of seminar series about data management and AI.

Training

All training opportunities are published by the SciLifeLab Training Hub.

Last updated: 2026-03-27

Content Responsible: Hanna Kultima(hanna.kultima@scilifelab.uu.se)