Research data, as defined in ODU Policy #5350: Research and Scholarly Digital Data Management Policy, are digitally recorded information that are necessary to support or validate a research project's observations, findings, or outputs.
Research data can be qualitative or quantitative, continuous or discrete, primary or secondary, and can be measured, observed, modeled, or compiled. Data can come in various formats such as numeric, text, images, audio, and video.
The Harvard Longwood Medical Area Research Data Management Working Group hosted a 30-minute webinar Let's Talk Data! that, in part, explores various data types.
Data in the ocean and earth sciences can vary widely, depending on your concentration. Some examples include:
Government agencies, local, national, and international organizations, researchers (including students!), and corporations can all be producers, and consumers, of data.
There has been a push in recent years to make research data publicly accessible, and there are many repositories, archives, and indexes of data.
Government data sources include:
Researchers can also submit their data to discipline specific and generalist repositories:
In addition to search for data in the above repositories, you can start with a Google Dataset Search.
Please refer to the Find Data section of the Data and Statistics library guide for additional information.