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A further validation of the approach took place within a preservation exercise
for Solar-Terrestrial Physics data. This study considered raw data which could
be analysed to extract an Ionogram - a graph showing ionization layers in the
atmosphere. Currently scientists use a software product called SAO Explorer to
extract Ionograms from the data. This software was archived in accordance with
the methodology described in [ 184 ]. The archived software could with confidence
be integrated into a larger OAIS compliant solution for the preservation of Multi-
Maximum Method (MMM) data files. This preservation objective permits the long
term study of specified atmospheric phenomena from this geographic location. The
archived SAO Explorer solution could also then be deposited in the DCC/CASPAR
Registry Repository of Representation Information (RORRI), discussed in more
detail in Part II, thereby providing a solution shown in Fig. 14.15 which can be
re-used by hundreds of ionosphere monitoring station which are active globally.
We believe that the preservation network modelling process described sup-
ports and facilitates the long term preservation of scientific data by providing a
sharable, stable and organized structure for digital objects and their associated
requirements. This approach permits the management of risk and promotes the
reuse of solutions allowing the cost of digital preservation to be shared across
communities.
Fig. 14.15 Preservation network model of a MMM file - reusable solution
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