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Data Literacy: Datasets and Management

This guide provides a brief introduction to data literacy as well as suggested resources.

Finding, Creating, and Managing Data

An initial review of existing datasets and scholarly literature can provide valuable insights into what information is already available about a particular topic. However, this undertaking will need a plan in place to ensure the data is managed and stored ethically. This page gives information and resources into finding, evaluating, creating, and managing data. 

Step 1: Finding datasets

Initial research can tell what is available on a topic. Researching Datasets is an easy way to see what research has already been done as well as creating a literature review. Below we have various types of resources that can assist in finding datasets

Websites

Databases

Step 2: Evaluating Data

When researching it is important to know the datasets are reliable. Start with asking questions such as:

  • who created the dataset?
  • Why and when was it created?
  • Are there any biases in sampling, nonresponses, or inadequate sample sizes? 

These questions can help determine whether or not the data is reliable and prepare to create original data if needed. The resource below can assist you with evaluating the data along with other areas of research.

Step 3: Creating Datasets

If you are conducting original research, you may find that you need to collect your own dataset. There are three methods to conducting research: quantitative, qualitative, and mixed methods. The type that is chosen can depend on the type of data needed and the topic. Here are definitions of the different types of methods for research:

  • Quantitative research involves reviewing data that is based on statistics and numbers.
  • Qualitative research involves meanings behind a phenomenon through perceptions and interpretations.
  • Mixed methods is a blend of quantitative and qualitative research.

If the research includes human subjects, then the Institutional Review Board will need to review your methods to ensure the safety of participants.   

Step 4: Managing Data

Throughout your research project, it is important to have a Data Management Plan. This plan is created to describe how the data will be organized, analyzed, stored, and distributed along with ensuring correct research practice. Here is an example of one tool that you might use for assistance in creating a Data Management Plan of your own.