Update estimating-cost.md Added more context

content/resources/estimating-cost.md

@@ -9,7 +9,11 @@ TODO: [GH 125](https://github.com/ReproNim/repronim.org/issues/125)
 
 ## How much will it cost?
 
-1. Direct Resource Cost: Are the infrastructure requirements currently met? (Cloud Infrastructure and Physical Hardware)
-1. What tools and standards need to be adopted?
-1. Do any lab members/collaborators already have experience with the new tools and standards?
-1. How comfortable are the collaborators with technical fundamentals like the command line?
+Implementing best practices for reproducible neuroimaging requires resources and effort.  The new NIH policy for Data Management and Sharing allows investigators to [allocate budget](https://sharing.nih.gov/data-management-and-sharing-policy/planning-and-budgeting-for-data-management-and-sharing/budgeting-for-data-management-sharing#after) for implementing good data and software management so that data can be shared effectively and efficiently. Bringing reproducible [neuroimaging practices](/resources/tutorials/)to the lab saves time and money in the long run, and results in a better product (see the experiences and cost analysis of [Bush et al., 2022](https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2022.988084/full)).  But getting started can require a bit of an investment.  How much?  It depends on where you are starting.  Here are some questions to ask when considering time, effort and cost:
+
+1. Direct Resource Cost: Are the infrastructure requirements currently met? (e.g., cloud infrastructure and physical hardware)
+2. What tools and standards need to be adopted?
+3. Do any lab members/collaborators already have experience with the new tools and standards?
+4. How comfortable are any collaborators with technical fundamentals like the command line?
+
+The good news is that many of the costs involved in employing ReproNim tools and best practices are up front and will go down over time.