Research Data Management for UC Berkeley

Research Data Management helps researchers navigate the increasingly complex landscape of data planning, storage, and sharing. This guide can be used to learn about best practices, tools, and services related to research data across disciplines. If you need assistance, contact RDM Consulting at

Case Study: Data Management Plan for NEH Preservation & Access program


In 2014, a small team of collaborators applied to the NEH Preservation & Access program for funding to support the encoding of less commonly used and ancient languages for inclusion the in the Unicode standard. (the Unicode standard is an international standard for representing writing in computer systems.) The work is being coordinated by a researcher at Berkeley and involves collaboration (via the internet) with researchers around the world.


Box: Five tips for organizing research project files

Berkeley Box provides a good platform for organizing and maintaining research files over the course of a project. And since Box now comes with unlimited storage, it fits projects of all sizes -- with one proviso: an individual file can be a maximum of 15GB in size.

Here are five tips for setting up your project's information management using Box.


Dash is a self-service tool where you can publish your research data as well as discover data sets that have been uploaded and shared by other researchers.

Supported by Berkeley
Free to UC users

Providing Metadata

Good metadata is key for research data access and re-use. Metadata describes and provides information about your data. Data can be an image file, video, website, text document, database, spreadsheet, or other type of resource. Metadata provides information such as when data was created, by whom, what software was used to create it, what it is about, how it is encoded, and so on. Metadata helps you and others understand your data so it can be accessed, found, understood, and preserved over time. For many kinds of data, standard schema exist that facilitate data description and sharing. RDM Consultants are familiar with many of the metadata standards and have access to an extensive network to help you with your metadata needs.

Managing and Sharing Qualitative Research Data 101

Managing and Sharing Qualitative Research Data 101

By Celia Emmelhainz, Anthropology and Qualitative Research Librarian, UC Berkeley

What is qualitative data?

If you’re working with:

Best practices for working with sensitive data (Q&A)


This question, a composite case based on recent consulting requests, was posed to a staffperson at UC Berkeley's Information Security and Policy office.

Background: We've got sensitive data stored (more or less) securely on CalShare, Box, etc. We now want to analyze it for our research. The compute environment for the analysis varies. It might be done on: our laptop, on a departmental server, a departmental cluster, the campus's Savio HPC cluster, Amazon Web Services, an XSEDE-provided computational center, etc.

RDM Consulting

Selecting a License for Your Data

An increasing number of funders are requiring that research be made available to other researchers to review, analyze, and build upon. The first step in this process is depositing your data in a data repository where the data is assigned a persistent identifier, can be cited, and can be accessed over time.

A license allows another person to use data under certain conditions set by the rights holder. An open license allows your research to be made available to others, which can significantly increase the reach of your research and result in higher citation rates.

For more information, see the UC Open Access Policy section on Copyright and Licensing.


The DMPTool is an online service for building data management plans with step-by-step instructions and guidance for meeting specific funding agency requirements.

Contact RDM Consulting ( with your questions about the DMPTool and data management plans in general.

Supported by Berkeley
Free to UC users