University of California San Francisco

Funding & SupportData Library Analysis Support

Bakar ImmunoX · Data Science CoLabRolling submissionsRestricted · ImmunoX members

Ask new questions of data that already exists.

Since 2018, ImmunoX CoProjects and Pilots have produced immune profiling data across many diseases under the same standard operating procedures. This award funds the work of mining it: a new research question and, ideally, a new analysis capability built into the Data Library for everyone.

Formally: Data Library Analysis RFA

PartnerOffered by the Bakar ImmunoX Initiative through the ImmunoX Computational Biology Initiative. OCR helps applicants prepare and supports recipients.

What you receive

Data, people, and a home for your tools.

  1. 01

    Comparable datasets

    Immunoprofiling data from many disease indications, standardized so results compare across studies. You can bring external datasets in for comparison.

  2. 02

    Data science effort

    Fund data scientists or engineers from the Data Science CoLab, or bring your own to work alongside the CoLab team.

  3. 03

    A home for new tools

    New and existing analysis tools or pipelines can be built into the Data Library, extending what every member can do.

What we fund

A question first, and a capability if you can.

The research question is the focus. Building an analysis tool is optional, but the ideal project develops a new capability and applies it to Data Library datasets.

Funded through this award

Compass

A tool that characterizes cellular metabolic states, built in an earlier round and in testing with alpha users ahead of release in the Data Library.

Fields

Where the data reaches

Immunology, cancer, autoimmune disease, chronic viral disease, neurodegeneration, and related fields.

Eligibility

Who should apply

  • All ImmunoX members
  • Teams ready to work with the Data Science CoLab, which manages the Data Library
  • Projects that use Data Library datasets, alone or alongside external data

How to apply

From first conversation to launch.

  1. Step 01

    Check the data

    Contact the Data Science CoLab early to confirm the Library holds what your question needs.

  2. Step 02

    Apply

    Submit the online form. Proposals are accepted on a rolling basis.

  3. Step 03

    Review

    The ImmunoX Research Committee reviews each proposal.

  4. Step 04

    Track

    Follow the queue and the progress of funded projects on the public dashboard.

What to prepare

Proposals follow ImmunoX guidelines and include:

  • 01A summary of the research question or analytical tool
  • 02A plan for how the work will use the Data Library
  • 03The methods you will use to answer the research question
  • 04The methods you will use to build the analytical tool, if you propose one

Review

How proposals are judged

The ImmunoX Research Committee evaluates each proposal on four questions:

  1. 01Impact: does the question, or the analysis method, address an important gap?
  2. 02Feasibility: is there enough data in the Library to answer it in the proposed timeframe?
  3. 03Collaboration: is there a working plan with the Data Science CoLab?
  4. 04Community benefit: will the capability help ImmunoX members beyond your own question?

Before you apply

Talk through your idea with us.

We can tell you which opportunity fits, who to bring on as mentors or sponsors, and what makes a proposal competitive. A short email is enough to start.

Funding consult
Talk through your application
30 min
Free
You'll meet with
Vincent Chan, PhD
OCR Director and ImmunoX Chief Strategy Officer
Book a time with Vincent Ask about this opportunity