Interested in learning how to use LabKey Server SDMS? This training provides a beginner to intermediate level of LabKey Server SDMS training and is recommended for both end-users and administrators.

Day 1: Server SDMS Basics | Security in SDMS

Day 2: Files and Databases | Instrument Data (assay)

Day 3: Clinical/Research Study Data Management | Reports


Learn LabKey Day 1:

Server SDMS Basics:

Learn the basic architecture and features of Server SDMS including the structure of folders, data containers, and modules. Also included are best practices for configuring various parts of Server SDMS and an overview of the Administrator role.


Hear about role-based security models and learn how to use it to protect your data. General folder-level security is covered, as well as special security topics, such as dataset-level security and Protected Health Information (PHI) features. Practical security information is provided, such as how to set up user accounts, assigning groups and roles, best practices, and testing security configurations using impersonation.


Learn LabKey Day 2:

Files and Databases:

We cover the two basic ways that LabKey Server can hold data: (1) as files and (2) as records in a database. Topics include: full-text search, converting tabular data files into database tables, special features of the LabKey database (such as ‘lookups’), the role of SQL queries, and adding other databases as external data sources.

Instrument Data (assay):

Explore how LabKey Server models and captures instrument-derived data, including how to create a new assay “design” from scratch, or how to use a prepared assay design. Special assay topics are covered, such as transform scripts, creating new assay design templates (“types”) from simple configuration files, and how to replace the default assay user interface.


Learn LabKey Day 3:

Clinical/Research Study Data Management:

Learn how to integrate heterogeneous data, such as instrument, clinical, and demographic data, especially in the context of longitudinal/cohort studies.


Explains the various ways to craft reports on your data, including R reports, JavaScript reports, and built-in visualizations, such as Time Charts, Box Plots, and Scatter Plots.