This guide covers Research Data Management (RDM) at CSBSJU. In this guide you will find information about research data management plans, data storage/archiving, funding agency guidelines, and metadata.

• Overview

• Data Management Plans

• Open Science

• FAIR Data

• Data Repositories

• Funding Agency Guidelines

• Further Resources

What is Research Data Management?

Research Data Management (RDM) is the practice of organizing, documenting, storing, sharing, and preserving data gathered during a research project. RDM ensured that data are usable over time.

Effective RDM includes:

• File organization

• Naming conventions

• Documentation and version control

• Storage and access for security and collaboration

• Policies for sharing and reuse

Image CC BY-NC from University of Southern California Santa Cruz (http://guides.library.ucsc.edu/datamanagement/). 

The CSB and SJU Libraries can help you manage your research data. Once you contact your liaison librarian, your needs will be considered on a case-by-case basis.

We will help you determine:

1. How to make your research data discoverable.

2. Where your research data will be stored.
   Options include our institutional repository (CSB and SJU Digital Commons); CSB and SJU IT Services file storage; or a discipline-specific repository. For more information, click on the “Data Repositories” tab in the sidebar navigation.

3. The best long-term storage format for your research data.
   In general, archived file formats should be non-proprietary; unencrypted; uncompressed; open; interoperable; documented standards; common usage within your research community; and standard representation.