fixing a few typos

fixing a few typos

collect-process/collection.qmd

@@ -24,13 +24,13 @@ In most cases, the Water Boards programs were not developed or designed to colle
 
 Incorporating a racial equity lens during data analysis includes incorporating individual, community, political, and historical contexts of race to inform analysis, conclusions, and recommendations. Solely relying on statistical outputs will not necessarily lead to insights without careful consideration during the analytic process, such as ensuring data quality is sufficient and determining appropriate statistical power. Disaggregation of data is also a series of tradeoffs. Without disaggregating data by subgroup, analysis can unintentionally gloss over inequity and lead to invisible experiences. On the other hand, when analysts create a subgroup, they may be shifting the focus of analysis to a specific population that is likely already over-surveilled. ([Centering Racial Equity Throughout Data Integration](https://aisp.upenn.edu/wp-content/uploads/2022/07/AISP-Toolkit_5.27.20.pdf))
 
-Centering racial equity means paying attention to which data are highlighted and how they are framed, as well as the readability and accessibility of the communication method. This involves strategic consideration of the audience and the mode of dissemination that most effectively conveys the information. There are many ways to communicate information. These include briefs, interactive documents, websites, dashboards, social media content, data walks, posters, briefs, and infographics. Regardless of the form, content geared toward the public should avoid jargon that may be otherwise appropriate for internal program staff or academic audiences, while also using person-centered language and translating materials into languages most applicable to your community context. ([Centering Racial Equity Throughout Data Integration](https://aisp.upenn.edu/wp-content/uploads/2022/07/AISP-Toolkit_5.27.20.pdf))  
+Centering racial equity means paying attention to which data are highlighted and how they are framed, as well as the readability and accessibility of the communication method. This involves strategic consideration of the audience and the mode of dissemination that most effectively conveys the information. There are many ways to communicate information. These include briefs, interactive documents, websites, dashboards, social media content, data walks, posters, briefs, and infographics. Regardless of the form, content geared toward the public should avoid jargon that may be otherwise appropriate for internal program staff or academic audiences, while also using person-centered language and translating materials into languages most applicable to your community context. ([Centering Racial Equity Throughout Data Integration](https://aisp.upenn.edu/wp-content/uploads/2022/07/AISP-Toolkit_5.27.20.pdf))
 
 Furthermore, good quality data regarding marginalized communities is often lacking, but it is still important to discuss impacts to BIPOC communities. It may be appropriate in some cases to still present or analyze this data and also present caveats for the data limitations. In other cases, it may be more appropriate to rely only on qualitative discussion based on information derived from background research and feedback from affected communities.
 
 ## Common Data Sources
 
-Below we have provided a list of common data sources that can tell us something about the extent to which we are achieving equity outcomes. In addition, to the open data sources below, most organizations including the Water Board have various types of Administrative Data which is internal demographics data related to the workforce in the organization. This data is normally confidential but is very valuable when working on addressing workforce equity.
+Below we have provided a list of common data sources that can tell us something about the extent to which we are achieving equity outcomes. In addition to the open data sources below, most organizations including the Water Board have various types of Administrative Data which is internal demographics data related to the workforce in the organization. This data is normally confidential but is very valuable when working on addressing workforce equity.
 
 ### Open Data Portals
 
@@ -66,7 +66,7 @@ It’s important to remember that you can always benefit from setting context be
 
 Often the go-to resources for making inferences to demographic and socioeconomic characteristics is the National Census dataset and the associated American Community Survey dataset. While we are fortunate to have just updated this dataset in 2020 there are limitations and potential inaccuracies associated with relying solely on census data to enumerate demographic characteristics within a given census tract. This [tool from the Department of Finance exists to measure this limitation](https://cacensus.maps.arcgis.com/apps/webappviewer/index.html?id=48be59de0ba94a3dacff1c9116df8b37).
 
-A detailed example of using R programming to estimate demographics and other characteristics with U.S. census data to be used for custom spatial features is available and can be tailored to programs with the help of a data scientist proficient in R and staff familiar with the program.  <https://daltare.github.io/example-census-race-ethnicity-calculation/example_census_race_ethnicity_calculation.html> 
+A detailed example of using R programming to estimate demographics and other characteristics with U.S. census data to be used for custom spatial features is available and can be tailored to programs with the help of a data scientist proficient in R and staff familiar with the program. <https://daltare.github.io/example-census-race-ethnicity-calculation/example_census_race_ethnicity_calculation.html>
 
 Example - [SAFER Fund Expenditure Plan](https://www.waterboards.ca.gov/water_issues/programs/grants_loans/sustainable_water_solutions/safer.html)
 
@@ -84,7 +84,7 @@ The [California Water Boards Racial Equity Data Resource Hub](https://gispublic.
 
 [CalEnviroScreen 4.0](https://experience.arcgis.com/experience/6b863505f9454cea802f4be0b4b49d62)
 
-[CalEnviroScreen](https://oehha.ca.gov/calenviroscreen) can be a helpful tool in creating visualizations and performing analysis as it provides a number of index, as well as a "rolled-up" score that combines environmental and demographic data together. However, there can be things to consider, a couple of which are discussed below.
+[CalEnviroScreen](https://oehha.ca.gov/calenviroscreen) can be a helpful tool in creating visualizations and performing analysis as it provides a number of indices, as well as a "rolled-up" score that combines environmental and demographic data together. However, there can be things to consider, a couple of which are discussed below.
 
 #### **Missing Values for CalEnviroScreen Scores**