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Data Management: Introduction to Data Management

Introduction to Data Management

This guide will help you get started with the basics of data management as a researcher.  It includes important terms, evaluating your data needs, creating a  data management plan, and storing and preserving your data.

 

 

 

 

 

Staaks, J. (2013). Research Data Management. CC BY-NC 2.0 Retrieved from https://www.flickr.com/photos/jannekestaaks/14391226325

Definition of Data

"Data is the output from any systematic investigation involving a process of observation, experiment or the testing of a hypothesis which when assembled in context and interpreted expertly will produce new knowledge."  Pryor, G. (2012). Why manage research data? In G. Pryor (Ed.), Managing research data (pp. 1-16). London, England: Facet.

Examples of Data

It is becoming the norm for publishers and funding agencies to require researchers to share their data in a clear and concise manner. Learning how to develop good data management practices early in your career will make it easier to keep your data organized, meet funder requirements, and prepare sustainable data for sharing with others!

Data Types:

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