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The Fundamentals of Understanding and Using Data in Prevention Part 2: Collecting, Prioritizing, and Managing Your Data

February 27 @ 11:00 am - 12:30 pm

Decades of research underscores the importance of strategically using data to guide substance use prevention efforts. Data is used in many ways, such as identifying risk and protective factors and current substance use trends, understanding the personal and societal consequences of use, assessing the impact of policy decisions on use, and informing prevention professionals about evidence-based practices. Accurate, comprehensive data allows us to understand the substance use landscape, the needs of our communities, and the most effective and efficient opportunities to use prevention resources.

This four-part webinar series will provide an overview of the importance of data in the field of substance use prevention. It will explain how data supports evidence-based research, describe how to find and understand different data sources, and provide practical tips and methods for using and sharing data. The fourth part of the series will be an interactive learning lab to practice data-related skills.


The webinar will describe how to obtain and begin using data. It will identify data collection methods and sources, as well as important strengths and potential challenges for prevention professionals. The webinar will also provide recommendations for overcoming these challenges, including explaining the importance of culturally sensitive data collection instruments. It will also introduce and explain data prioritization techniques to begin integrating data into strategic planning. Lastly, the webinar will describe how prevention professionals can use data to improve strategic planning, community outcomes, and health equity.


By the end of this webinar, participants will be able to:

  1. Identify data sources and data collection techniques
  2. Recognize common barriers to data collection and strategies to overcome those challenges
  3. Describe and contrast different data prioritization techniques
  4. Identify how data can improve key components of the prevention field




Prevention Technology Transfer Center Network
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