Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). It also involves decisions about how data will be preserved and shared after the project is completed (for example, depositing the data in a repository for long-term archiving and access).
How we can help:
Assistance anywhere in your data's life cycle
From planning, collecting, preserving, and analysis we can provide support for students and faculty.
Help creating data management plans
Many research funders have requirements for data sharing and data management plans. We can help you to create these plans, assess the data management needs of your project, and help to identify data management solutions.
We are available to help you identify your data management needs and recommend best practices for keeping your data usable, now and into the future. We also collaborate with Academic ITS and Colby Grants Office.
We have done numerus each you how to manage your data more efficiently and help you to share your data with others.
For help with your data management needs, email us at firstname.lastname@example.org
Organizing and Structuring Data
Metadata standards different across the disciplines and varies often by research project. If your are not familiar with the various metadata definitions (data/text used to describe data) used by your discipline/union OR you are creating and collecting new types of data you might want to consider using some of the guidelines best practices for data schemas below.
Metadata is foundational to any data project so spending time mapping out what data points you'll be recording and collecting and the process to create these data points and datum is well worth the time.
Metadata best practices include.
If you need assistance mapping out your data collection, tracking down metadata standards or best metadata practices for you project please contact email@example.com.
Below are example metadata schemas used for data projects and more about metadata.
Data Management Plans
A data management plan (DMP) will help you manage your data, meet funder requirements, and help others use your data if shared.
You can use the questions below and any specific data management requirements from your funding agency to write your data management plan.
Resources for Creating Plans
If you have a funder for your research many of them require you to address certain aspects of data management in your grant or funding proposal. Below are links to some of the most popular funders and their requirements. Also links to RI's DMP sites.
Project, Experiment, and Data description
Documentation, organization, and storage
Access, Sharing, and Re-use