LGBTQ+ Inclusion in Surveys
Problem to Address
LGBTQ+ people need recognition and representation in data
- Queer and Transgender people need recognition and representation everywhere
- Often data representation is overlooked
- Data is not as flashy, but can potentially have more influence
Explanation
- The way we take and use data has a direct impact on LGBTQ+ people through policy, advocacy, and funding
- It is vital that the data that is collected is inclusive and accurate to prevent issues like data cross contamination or misappropriation of funds, and to ensure accurate policy decisions
- There is a gap between education about LGBTQ+ issues and the implementation of data collection on those issues
Case Study: Surveys 
Why Surveys as a Case Study?
- Surveys are a small part of data collection, but they can have a large impact on policies and programs
- Easy to make, easy to change
- Most accessible way to get information for programs about the needs of specific communities
- High on impact, low on effort
Why is this important?
- Examples of fields this work could impact:  Medicine, Job Searches, Grants and Funding, Media Representation, Policy Decisions, Social Services
- Costs of cleaning messy data, having a corrupted survey, or redoing survey are not worth it
- “Colorblindness” in survey corrupts data
- Need accurate data to actually understand the results and decisions that should be made
- Without good demographic information, problems cannot be addressed in a way that is efficient
- A single bad survey question can create mistrust with the community you are trying to reach
- Acknowledgement of marginalized groups can help rather than hurt your results, shows your team understands the marginalized people in their community
Why aren’t current education efforts working?
- There is education about inclusivity, but it is not optimized towards this problem
- Organizations need direct guidance
Common Mistakes
A Better Option
Solutions
What can YOU do?
- Continue to have conversations with diverse people and advocacy groups on how they want to be represented in their community
- Focus on self-education
- If you are a data researcher, or are creating a survey, always ask yourself: what could I be missing?
What can the SYSTEM do?
- Build up networks of coordination between advocacy groups
- Pinpoint gaps in the frameworks we have and work to provide those services
- Proactive, not Reactive approach
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