Merge pull request #316 from bookchiq/patch-1

Grammar and punctuation improvements

Author: couci

data-metrics/surveys/best-practices-diverse-data.md

@@ -1,15 +1,15 @@
-## Best Practices (and Rules)for Handling Diverse Data
+## Best Practices (and Rules) for Handling Diverse Data
 
-NOTE:This is a work in progress.
+NOTE: This is a work in progress.
 
-Collecting diverse demographics data is important in helping open projects like Mozilla understand the impact of interventions we make to be a more inclusive, and welcoming project.
+Collecting diverse demographics data is important in helping open projects like Mozilla understand the impact of interventions we make to be a more inclusive and welcoming project.
 That said, it's important to always ensure you know why you are asking for sensitive data.  Here are some prompts.
 
-Always include Mozilla's privacy policy.
+Always include [Mozilla's privacy policy](https://www.mozilla.org/en-US/privacy/).
 
 * If you are asking for **gender identity**, how will you use that data? If you don't know, don't ask.
-* If you are asking whether someone is **transgender** how do you intend to benefit that demographic with your findings?  If you dont know, don't ask.
-* In some regions it is illegal to collect gender data from those under 19. Add checkbox to ensure people are over 19.
-* If you are collecting personally identifying information like name, email, Github ID AND gender identity information, do you have in place:
+* If you are asking whether someone is **transgender**, how do you intend to benefit that demographic with your findings?  If you don't know, don't ask.
+* In some regions it is illegal to collect gender data from those under 19. Add checkbox to ensure people are at least 19.
+* If you are collecting personally-identifying information like name, email, Github ID _and_ gender identity information, ensure you have in place:
   * Legal approval
-  * Standards for handling this data, that will ensure results are anonymotized beyond any recognition.
+  * Standards for handling this data that will ensure results are anonymized beyond any recognition