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Joint Medical Program Library Resources: Research Data Management

UCB Data Services Guide

Use the UC Berkeley Data Services Guide to find out what campus entity can help with your data questions.

Campus entities include:

  • Data Peer Consulting;
  • Library Data Services;
  • Research IT;
  • D-Lab;
  • Research Data Management Program.

Question categories include:

  • Data Management and Acquisition;
  • Computing;
  • Data Use;
  • Data Analysis and Management Tools;
  • Languages;
  • Statistical Methods and Tools.

Readings for JMP RDM Session

Slides from JMP RDM presentation

Here is a basic Data Management Plan template (Google doc). You can make a copy and save to your own bDrive.

Contacts for research data questions:

@UCB: RDM Operations team

@UCSF: Ariel Deardorff

NIH Data Management and Sharing

Details on the NIH requirements are found on their Data Management and Sharing Policy website, which includes:

  • About Data Management & Sharing Policies;
  • Planning & Budgeting for Data Management and Sharing (includes sample DMS plans)
  • Data Management;
  • Sharing Scientific Data;
  • Protecting Participant Privacy When Sharing Scientific Data.

See also the Data Management and Sharing Plan Checklist for Researchers, from the Working Group on NIH DMSP Guidance.

Use the DMPTool to create your data management plan. The DMPTool provides a click-through wizard for creating a DMP that complies with funder requirements, and includes DMP templates. Free to use for UCB researchers.

UC Berkeley Library has prepared Guidance for Data Management and Sharing Costs on NIH Budget Requests (docx).

Research Data Management Program at UC Berkeley

UC Berkeley's Research Data Management Program is available to consult before, during and after on your research on writing data management plans, encryption and security, metadata enrichment, data publishing and sharing, analysis and workflows, and more. Consultants provide individual and group consultations and training for researchers in all disciplines.

Get in touch with us on our website or via email at


UCSF Research Data Workshop Series

View slides and videos of recent research data workshops from UCSF. Topics include:

  • De-Identified Clinical Data Warehouse and OMOP;
  • Medicare Data and other External Data Sets;
  • PatientExploreR - A user-friendly interface to navigate UCSF's de-identified electronic health records;
and more.

Before Your Research

A data management plan is a formal document that outlines:

  • research workflow and information about the data that will be generated, collected, or reused
  • research output format, metadata, access and sharing policies, long-term storage, and budget

Creating a data management plan will save you time by creating a clear structure for organizing your data throughout the research life cycle, and ensures that you and others will be able to use and understand your data in the future.

Resource for getting started: use the DMPTool to write a data management plan that meets funder and institutional requirements.

During Your Research

Set up and document workflows to ensure that data and other research outputs are secure. This includes properly backing up, protecting, and archiving data.


Start by following the 3-2-1 rule:

  • store three copies of data at two different locations with one copy in the cloud (or offsite)
  • Some research data may also fall under restricted or confidential categories, and it is critical that proper policy compliance is both taken and recorded.

Resource for getting started: check out the active research data guidance grid to learn more about data types and storage options at UC Berkeley. 

After Your Research

Upon completion of a project, select an archival data repository to publish your research data outputs. Repositories ensure that your data will be stored and can be accessed for future use, either by you or other researchers. Publishers and funding institutions have guidelines to address data access and archiving through using trusted data repositories that ensure long term archiving and discoverability.

By properly archiving data and other outputs, research is more likely to be cited, reused, and discovered in search engines.

Resource for getting started: explore Dryad, the University of California's data publication service and repository.