University of California San Francisco
Home/Services/Data management & sharing
Data management·Data management & sharing

Structured by
design.

Databases, metadata standards, and NIH-compliant Data Management and Sharing plans — built with your team from study design, not retrofit at the end.

62
DMS plans authored
100%
NIH 2023 compliant
FAIR
By default
Datalifecycle
01
Plan
02
Capture
03
Curate
04
Share
05
Reuse
Framework

We build to FAIR.
From day one.

F

Findable

Persistent identifiers, rich metadata, indexed in trusted repositories.

A

Accessible

Standard protocols, clear authentication, long-term metadata availability.

I

Interoperable

Open formats, controlled vocabularies, qualified references.

R

Reusable

Clear licensing, detailed provenance, community standards.

Reference architecture

Standards over
silver bullets.

We're tool-agnostic and pragmatic. Most of our projects live in this stack — but we design for what your collaborators, IRB, and repositories actually require.

Layer
Capture
REDCapOnCoreQualtricsCustom forms
Layer
Storage
Wynton HPCAWS / AzureBox for UCSFEncrypted SQL
Layer
Curate
MetadataCommon data elementsOntologiesQC pipelines
Layer
Share
dbGaPAnVILZenodoDryad
NIH 2023 DMS policy

A two-page plan
that holds up.

Since January 2023, every NIH proposal needs a Data Management & Sharing plan. We write yours alongside the science — not in the last 48 hours before submission.

NIH DMS Plan · v1.0PI: Smith · 2 pages

Data Management & Sharing Plan

1Data types & estimated volumesSection 1
2Related tools, software & codeSection 2
3Standards & metadataSection 3
4Repository & timelineSection 4
5Access, distribution & reuseSection 5
6Oversight of data managementSection 6
Plan early

Data plan due
with the grant?

Loop us in at Specific Aims — we'll write a DMS plan that aligns with your study, repositories, and budget.