Introduction to the LabKey data management tool

Date 15 January 2019
Speaker(s) Sofia Georgakopoulou, Eva Pujadas
Fees *academic: 60 CHF   -   for-profit: 300 CHF
Cancellation deadline 10 Jan 2019
City Basel
*academic fee includes non for-profit organisations as well as unemployed participants at the time of application.


LabKey is a data management platform in which researchers can collaboratively manage and analyze their data.

LabKey Server is ideal for groups looking to transition to a more robust solution when working in Excel becomes unmanageable. Compared to other commercial software that are primarily oriented towards data analysis, LabKey Server allows you to manage and collaborate with your data directly through the software: you can easily import your data and keep it organised, you can manage and share your workflows, you can create comprehensive graphs and reports of your data and share them with your collaborators, all within a secure and supported environment, which you and your collaborators can access at all times and from anywhere via VPN. Its API enables scripted data access from languages such as R and Python.

The LabKey Server is a well recognised data management solution, and it can be used in the context of data management requirement of SNF.

A LabKey server instance is managed by sciCORE and is available for research groups working at University of Basel and associated institutes. As an open source software (Apache 2.0), it can be deployed at no license cost at lab level or in other institutions.


This course is addressed to PhD students, postdocs, and group leaders without (or very little) experience with the data-management software LabKey.

Learning objectives

In this course we will go through the LabKey fundamentals. After a short introduction, we will continue to the practical part, and follow a basic workflow:

  • Create a new project space
  • Assign permissions to project collaborators
  • show methods of collaboration within LabKey (message boards, issue tracking, wiki pages)
  • Populate the project with data (import/ export data tables)
  • Create graphs and reporting on the data
  • Personlize the project space with web parts, tabs, and subfolders and more.

At the end of the course, participants will be able to work more efficiently with their data, in terms of having an organised project space where i. the data can be imported, analysed and visualized and ii. the data and workflows can be followed, shared and discussed upon with the collaborators.


Knowledge / competencies

This course is designed for beginners and there is no programming knowledge required.


You are required to bring your own laptop. You need to have signed-in the sciCORE LabKey development server once (detailed instructions to participants will follow). You can bring your own data-sets for testing during the course, if not data will be provided by the instructors for download.


The registration fees for academics are 60 CHF. This includes course content material and coffee breaks. Participants from non-academic institutions should contact us before application.

Deadline for registration and free-of-charge cancellation is set is set to 10/01/2018. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.

You will be informed by email of your registration confirmation.

Venue and Time

University of Basel, Klingelbergstrasse 61, Sky Lounge Biozentrum Annex, 13th Floor.

The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants on due time.

Additional information

Coordination: Sofia Georgakopoulou, Anja Matthiä

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

For more information, please contact