Resources

Learn how to improve your data practices, make informed decisions, and enhance your impact.

Data Management
Cybersecurity Awareness Month: Tips for Nonprofits
Simple tips and cybersecurity resources to protect your nonprofit's confidential data.
Data Management
What should you do about too much data?
Data Management
How you can create an automation in Zapier
A tutorial on creating automations that can save you time and improve your data quality.
Data Management
What should your nonprofit do about "bad" data?
Tips for fixing old data, duplicate records, and other common data problems for nonprofit organizations.
Data Management
Building trust through good data management | The Data Coach
Data Management
Nonprofit Data Management: What do you do with too much data? | The Data Coach
Sometimes, organizations have more data than they know what to do with. Here's how to prioritize what really matters.

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April 16th-18th
NTEN 'S Nonprofit Technology Conference

I'll be hosting a workshop called, "Using trauma-informed principles in data collection: Stressed-out staff edition." The workshop will cover how to use trauma-informed principles, such as transparency, collaboration, and choice, to gather critical feedback from their staff members.

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Data Management

Data Management
Building trust through data privacy protection
Low and no-tech tips for protecting personally identifiable information and how to communicate privacy policies to build trust
Data Management
Survey Sessions, Part 3: Building your super survey team
So you have your research questions, you've clarified your audience, and your project proposal has been approved. Nice! So it's time to start writing survey questions, right? Almost, my friend, almost. But first, let's build out your survey team.
Data Management
In a database dystopia? Three data management tips to lower your data-based stress
If the resources aren't there for a significant database overhaul, here are three ideas to turn your system from your enemy to your friend (or at least a frenemy).
illustration of two people looking through various data models

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