  This research presents a methodology for trusting the provenance of data on
the web. The implication is that data does not change after publication and the
source of the data is stable. There are different data that should not change
over time, such as published information in books and similar documents as well
as news or events reported on the web. If the data change after publication on
the web, the web pages that reference the unstable data will lose points of
interest or link to different resources. With the current move to linked data
and the semantic web, this is becoming a greater obstacle to be solved. This
research presents a methodology for establishing trusted information using an
encoded reference of the data embedded in its URI, which creates a stable
reference of the data and a method for ensuring its provenance stability. After
applying the methodology, the results showed that the methodology is highly
applicable and has no overhead cost over the loading time. The novel solution
can be applied directly to any data portals or web content management systems.
