Data within LabKey is ordinarily contained and restricted for use in a specific folder. In cases when you want to provide wider data access across a site, this topic summarizes various options for making data more broadly available outside of a specific folder.
have access to every container, allowing you to pull in data from anywhere on the server. For details see Queries Across Folders
Queries can also be made available in child folders
: see Edit Query Properties
based on queries can also be made available in child folders: see Customize Grid Views
can expand the scope of a query to range over different containers: see Query Scope: Filter by Folder
Linked SchemasLinked schemas
let you pull in data from an existing LabKey schema in a different folder. The linked schema may expose some or all of the tables and queries from the source schema. The linked tables and queries may be filtered such that only a subset of the rows and/or columns are available. Linked schemas are unique in that they can give users access to data they would not otherwise have permission to see. All the other approaches described here require the user to have permission to the container in which the data really lives. For details see Linked Schemas and Tables
based on linked schema queries can also be made available in child folders: see Customize Grid Views
Lookups and ReportsLookup
columns let you pull in data from one table into another. For example, setting up a lookup to a list or dataset as the common source for shared content, can simplify data entry and improve consistency. Lookups can target any container on the site. See Lookup Columns
can be made available in child folders. For details see: Saved R Reports
When you create a published or ancillary study
, LabKey Server creates a new folder (a child folder of the original study folder) and copies snapshots of selected data into it, assembling the data in the form of a new study.
Publishing a study is primarily intended for presenting your results to a new audience. For details see Publish a Study
Ancillary studies are primarily intended for new investigations of the original study's data. For details see Ancillary StudiesSharing datasets and timepoints
across multiple studies is an experimental feature. See Shared Datasets and Timepoints
To give an assay design
project-wide scope, create the design at the project level instead of specifying the subfolder. Project-level assay designs are available in every folder and subfolder of the project.
For site-wide access, create the assay design in the Shared project
Assay data can also be made available in child folders
: see Customize Grid Views
Assay runs and results can be linked to any study folder
on the site (to which the linking user has permission). See Link Assay Data into a Study
Create a Sample Type in the Shared project
to have access to it site-wide, or create it in the project for access in that project's subfolders. See Samples
Sample data can be linked to any study folder
on the site (to which the linking user has permission). See Link Sample Data to Study
Collaboration ToolsWiki pages
defined in a given container can be reused and displayed in any other container on the server. For details see: Wiki Admin Guide
If you create an Issue Tracker definition
in the Shared project
, it will be available site wide. Created in the project, it will be available in all folders in the project.
Folders store and access files on the file system via the file root. The default root is specific to the container, but if desired, multiple containers can be configured to use the same set of files from the file system using a custom pipeline root
. See File Root Options
Using a Premium Edition of LabKey Server
you can also configure one or more file watchers
to monitor such a shared location for data files of interest.
Scoping access to data through security groups and permissions is another way to control availability to your data. Set up site or project groups for your users, and choosing when to use inheritance of permissions in subfolders gives you many options for managing access.
You can also expose only a selected subset of your data broadly, while protecting PHI for example, using row and column level permissions as outlined here: