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Basic research Data Management

Basic assistance for those encounting data management planning for the first time

Data Management

A Data Management Plan Is in essence a project plan. We have local templates but always remember that we work to international standards 


See Yale's Research Data Management guide for more information.

Citation of Datasets


Data requires citations for the same reasons journal articles and other types of publications require citations: to acknowledge the original author/producer and to help other researchers find the resource . citation are also to software that you use in data anaylisis 

For  Example in APA 6th style

Data Sets:Simmons Market Research Bureau. (2000). Simmons national consumer survey [Data file].
New York, NY: Author.

Data Analysis Software

Below is a list of available software, to help you analyze, manage, and visualize data. Contact your Data Services Librarian for assistance.

Key Concepts

Data collection is the systematic recording of information;

Data analysis involves working to uncover patterns and trends in datasets;

Data interpretation involves explaining those patterns and trends. Scientists interpret data based on their background knowledge and experience; thus, different scientists can interpret the same data in different ways. By publishing their data and the techniques they used to analyze and interpret those data, scientists give the community the opportunity to both review the data and use them in future research.

From: Visionlearning

Data Presentation

Results can be presented in textual and non-textual form. See the resources below, for best practices on non-textual data presentation (i.e. charts, tables, etc.).