Linkages between the species attributes in the HaRPPS database have been formed from a review of the literature, as well as from researching the experiences and expert opinions of practitioners within forest management.
The information flow model shows how the data quality value and a citation table operate as core features within the HaRPPS database. Every piece of information stored in the system has a citation and data quality value. HaRPPS therefore offers the transparency required when mixing evidence and experience-based information presented to a user or reviewer of the information.
The data quality table (below) provides a means of classifying the type and quality of information used in the database. Information is tagged in the review process to identify the source and its quality:
| Quality class | Description |
|---|---|
5 | Peer reviewed papers and books |
4 | Web sites (known quality review process) and expert knowledge |
3 | Unpublished internal reports |
2 | Web sites (unknown review process) |
1 | Anecdotal experience |
Information gained from the results of scientific research published in peer reviewed papers and books is given a classification 5.
Information may also be derived from un-replicated trials (3) and observations from rangers and managers (1), allowing its reliability and hence some of the uncertainty associated with the information to be considered.
