More cleaning and polishing. Still turdish.

topics/galaxy-project/metadata.yaml

@@ -4,19 +4,20 @@ type: "use"
 enable: false
 title: "Galaxy project guide"
 summary: |
-  The [first Galaxy publication](https://genome.cshlp.org/content/15/10/1451.full) in 2005, described project source code being run on a local cluster, to provide free analysis services, for any researcher with a web browser. The project continues to provide services, and distributes the open source code used. Computing for data intensive analyses consumes substantial allocations of expensive infrastructure. Services providing these at no cost to researchers are rare. Few are as heavily used in terms of publications or throughput, or in such a wide range of research fields. Comparable commercial closed source analysis services are very expensive, and may not offer the transparency required to demonstrate their reliability and trustworthess.
+  In 2005, an open source project developing a new scientific workflow platform started something very unusual. It ran the current version on real hardware, providing 24x7, high availability, accessible, useful and free data analysis services, for any researcher with a web browser.
 
-  Aside from reliability and scientific transparency, "free" might explain why many researchers choose Galaxy for data intensive analyses. If you choose to use Galaxy rather than the available alternatives, you may have wondered:
-   - Who runs Galaxy?
-   - How can they provide valuable software and services without charging fees?
-   - How can researchers make Galaxy fit their own specialised analysis needs?
-   - What can researchers do to keep Galaxy available for the future?
+  Today, running the current code at huge scale to provide free and heavily used analysis services, still distinguishes Galaxy from most other open source projects. Useful data intensive results from large raw data inputs, require high throughput computing on large allocations of expensive infrastructure resources. Services providing these at no cost to researchers are rare. Few are as heavily used in terms of publications or throughput, or in such a large number of different scientific disciplines. Comparable commercial closed source analysis services are very expensive, and may not offer the transparency required for independent scrutiny, to provide evidence of scientific trustworthess for their computed results. 
 
-  This Topic provides material to answer questions like these, and to help choose your own adventure in Galaxy.
-
-  *Work In Progress as at December 2022. Help wanted. Apply within.*
+  Aside from reliability and scientific transparency, "free" might explain why many researchers choose Galaxy for their work. If you made that professional choice in the light of available alternatives, you may have wondered:
+  - Who runs Galaxy?
+  - How can they give away highly valued analysis and support services?
+  - Where do all the shareable tools, workflows and training materials come from?
+  - How do researchers make Galaxy fit their own specialised analysis needs?
+  - What needs to be done to help keep Galaxy available for my work in the future?
 
+  Like many good questions, the answers turn out to involve a number of complicated moving parts, but this training Topic will help. It is a user's manual for Galaxy. A field guide to the components, activities and resources of the project, in the context of the global open science ecosystem.
 
+  Extremely Work In Progress as at December 2022. Help wanted. Apply within.
 docker_image: ""
 maintainers:
   - fubar2