The subject of this paper is metamodeling and its application in the field of scientific research. The main goal is to explore the possibilities of integration of two methods: questionnaires and decision trees. The questionnaire method was established as one of the methods for data collecting, while the decision tree method represents an alternative way of presenting and analyzing decision making situations. These two methods are not completely independent, but on the contrary, there is a strong natural bond between them. Therefore, the result reveals a common meta-model that over common concepts and with the use of metamodeling connects the methods: questionnaires and decision trees. The obtained results can be used to create a CASE tool or create repository that can be suitable for exchange between different systems. The proposed meta-model is not necessarily the final product. It could be further developed by adding more entities that will keep some other data.
A iiietlzod of iiztegrcitiiig separated ii!fi)riiiutioii siibsysteins qf ci biisiiiess systein in ci single ii?joriiidoiz systeiii is delescribed in the piiper. Tlze probleins of ~i i i iritegrcitioii process ure atialjlzed U S well l i s the prohleim concerning separated inforiiicition siibsysteins. For siiccessfiil iiitegrcitioii, the process ojplaniiiiig n tlutci inode1 is iinportaiit. 0 1 1 the basis o j an integral data model, it is possible to construct m i iiitegrciteci &ita base.
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