Intelligence Cycle of IPYT's Research & Development
How we create the features of the site
There is a framework that structures the development behind the resources within the IPYT Index. Here is a general timeline of steps taken and what they entail.
DEFINING THE OBJECTIVE
Public awareness of the TTI that is user-friendly, accessible, objective, and facilitates further research and collaborative insight. This objective was defined to provide a solution to the problem that was the lack of comprehensive and useful information on this industry.
COLLECTING THE DATA
For IPYT itself data collection started in it's present structured format in 2020 however such efforts have even been started far earlier. Those sources are utilized and now better structured and indexed to preserve findings appropriately.
ORGANIZING THE FINDINGS
Having started this in 2020 it goes without saying that the amount of raw data collected is overwhelming. Instead of simply listing different files in a single place that users can sort through we extrapolate the meaningful findings within these files. The IPYT Index incorporates the use of data sciences and analytics to accomplish this and has built a backend database creating records for facilities that have existed, past and present. This allows you to search through what we have collected and see the sources of everything we've developed.
ANALYSIS AND EXPLORATION OF DATA
By having created a specialized database for this information it is possible to find patterns, connections, correlations, and more within it. These findings within the raw data are accessible by special permission as it's more difficult to parse through for those unfamiliar with working with raw data. It is this step that makes it possible to easily share findings however and what we are developing.
PUBLISHING RESOURCES DISSEMINATING INFORMATION
The directory of facilities, archive of multimedia, infographics, reports, and articles created are possible from this specific process and allow for the viewer to verify and know the source. Findings are broken down as clearly as possible focusing on facts and allowing the data to speak for itself as much as possible.