The Small Satellite Reliability Initiative (SSRI) Knowledge Base mission is to share resources, best practices, and lessons learned that improve mission confidence for small satellites. To that end, this comprehensive online tool contains organized, vetted, and high-quality sources of information on key elements of a successful small satellite mission. Acknowledging the value and depth of small satellite knowledge that exists beyond our development team, we seek to engage the smallsat community and enable users to contribute to the growth and evolution of this knowledge base.
User participation is essential to the refinement and growth of the SSRI Knowledge Base. Please submit ratings on resources and best practices and lessons learned to help other users select the most valuable resources for their project. Please recommend edits to existing content and recommend new resources, best practices, or lessons learned that you have found useful. This user involvement, even in the form of general feedback submitted below, is the primary way that we see this resource continuing to grow and improve!
The SSRI Knowledge Base includes two primary components: topic pages and resources.
Resources are categorized as articles, websites, software tools, standards, books, or white papers. Note that the "articles" category includes theses and any paper, poster, or slide package presented at a conference or published in a journal or other formal publication.
Each resource item includes a brief description with specific guidance regarding its application to smallsat projects. Whenever possible, resources can be viewed and downloaded directly through this website as a PDF document by clicking on the resource title. This functionality is indicated by a icon next to the resource title. When the resource title is accompanied by a icon, the title text links to a website. In the case of many newer books and articles, a icon indicates that the title links to the resource's online digital object identifier (DOI).
Users can search for topic pages, resources, and best practices & lessons learned directly using the search bar in the upper right corner of each page.
While all content is searchable, users can also browse the topic pages using the outline or interactive, graphical table of contents for the SSRI Knowledge Base that lives on the Explore page.
Navigate the graphical interface to find your desired topic page. Hovering over filled branch nodes will provide a preview of the associated branch and clicking on these nodes will open branches. Hovering over empty, "leaf" nodes in the diagram will bring up a preview of the topic page description. Clicking on one of these nodes will bring you to the topic page.
Topic pages include a scope and description section, list of relevant best practices & lessons learned, and list of relevant resources ordered by user rating.
The Knowledge Base exposes a RESTful API that enables programmatic access to the content of the application.
For documentation on the use of this API, click here.
Version 1.0 - Initial release
Version 2.0 - Completed baseline content for 18 topic pages and added over 180 unique resources; added ratings, pagination, and search functionality to "Best Practices and Lessons Learned" content; improved analytics to improve the SSRI's ability to respond to user behavior with future improvements; added buttons and custom dialogs for more effectively and efficiently crowdsourcing input from users (recommended content and edits to existing content); added "Last Updated" information to each "Best Practices and Lessons Learned" item and "Resource"; and added an application programming interface (API) to enable programmatic access to Knowledge Base content.
Version 3.0 - Upgraded the search bar to search all application content (i.e., Topics, Resources, and Best Practices & Lessons Learned); added fields and respective "Recommend edits" UIs to the Best Practices & Lessons Learned entities to support Learning from Experiences, Achievements, and Resolution Navigation (LEARN) Forum lessons learned; updated API and respective documentation to support new database structures and application functionality.