Skip to content Skip to navigation

Research Data Management - old

The library can assist faculty and researchers with the many-faceted steps of research data management—from preparing research data management plans (which are required for many funding agencies), through file management best practices and metadata creation, to data sharing and data archiving.

If you would like an individual meeting to learn more about the data management services our library offers, please schedule an appointment:

 

 

If your group or lab would like help managing your research data in any aspect, click here to request a consult with the UC Merced Research Data Management Consultation Service.

 

Workshops

We offer a series of 50-minute workshops, each on a different aspect of research data management.


The Carpentries

As an institutional member of the Carpentries, we offer comprehensive, two-day workshops covering concepts and tools that participants can apply to their own research.


Best Practices for Managing Your Data

Following best practices for managing your research data can ensure it will be available to other researchers in the long term.


Preparing Data Management Plans

Preparing a data management plan is not only a requirement for many funding agencies, but also encourages successful handling of collected data across a project’s lifecycle and beyond.


Archiving and Sharing Your Data

Archiving and sharing your data is an essential component of the research data lifecycle.


Research Data Curation Glossary

A glossary of frequently cited terms and resources for research data curation.


Research Data Curation Toolkit

A suite of tools and services for UC researchers managed by the California Digital Library.


What is a Data Dictionary?

A Data Dictionary is a collection of names, definitions, and attributes about data elements that are being used or captured in a database, information system, or part of a research project. The metadata included in a Data Dictionary can assist in defining the scope and characteristics of data elements, as well the rules for their usage and application.