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Research Data Management

This guide is to provide introductory information to OC faculty and students in support of their research data management (RDM) practice.

What is research data


There is no universally agreed upon definition of research data. Often the definition and types of data differ by discipline. Most generally, it is anything collected or generated in the process of research.

Types of research data

There are different ways to categorize data. By the source data comes from, for example, there are observational data that is captured in real-time and experimental data generated in a lab or under controlled conditions. By its forms, data can be: 

  • Text: field or laboratory notes, survey responses
  • Numeric: tables, counts, measurements
  • Audiovisual: images, sound recordings, video

and others.

Tri-agency's definition

Read the Tri-agency's definition of data and research data.

Data lifecycle

Data lifecycle is a way of thinking about management of data through the course of a research project. DataOne’s data lifecycle is a widely known, discipline agnostic representation.

As shown in the figure below, the eight stages in this model are plan, collect, assure, describe, preserve, discover, integration, and analyze.

DataOne's data lifecycle model

Figure: DataOne's data lifecycle

Not all research projects go through all stages or go through all stages in that particular order.

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