Abstract
In practise the overall efficiency of data-basing the inventory of traditional entomological collections depends on two factors: suitable software and management measures to ensure the highest possible data quality already in the input process. Lessons learned from the development of the specimenbased database BIODAT and preliminary results of the DIG-(Digitization of key Insect groups at ZFMK) project, which is especially designed to develop a ‘good practise’, recommend: (1) a lockstep programme for data-basing, (2) data entry of collection units and split record function, (3) visualisation of geo-referenced locations/sites during data entry, (4) semi-automatic/automatic data transformation from original format into additional alternative ones, (5) semiautomatic data transfer of taxa- and geo-referenced information units. Current activities deal with the introduction of semantic feedback mechanisms into the practise of data-basing entomological collections.
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References
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Lampe, KH., Striebing, D. (2005). How to Digitize Large Insect Collections — Preliminary Results of the DIG Project. In: African Biodiversity. Springer, Boston, MA. https://doi.org/10.1007/0-387-24320-8_38
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DOI: https://doi.org/10.1007/0-387-24320-8_38
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24315-3
Online ISBN: 978-0-387-24320-7
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