Abstract
Existing models for Research Information Systems (RIS) properly address the description of people and organizations, projects, facilities and their outcomes, e.g. papers, reports or patents. While this is adequate for the recording and accountability of research investments, helping researchers in finding relevant people, organizations or results requires considering both the content of research work and also its context. The content is not only related to the domain area, but it requires modeling methodological issues as variables, instruments or scientific methods that can then be used as search criteria. The context of research work is determined by the ongoing projects or scientific interests of an individual or a group, and can be expressed using the same methodological concepts. However, modeling methodological issues is notably complex and dependent on the scientific discipline and research area. This paper sketches the main requirements for those models, providing some motivating examples that could serve as a point of departure for future attempts in developing an upper ontology for research methods and tools.
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Sicilia, MÁ. (2010). On Modeling Research Work for Describing and Filtering Scientific Information. In: Sánchez-Alonso, S., Athanasiadis, I.N. (eds) Metadata and Semantic Research. MTSR 2010. Communications in Computer and Information Science, vol 108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16552-8_23
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DOI: https://doi.org/10.1007/978-3-642-16552-8_23
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