Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-14276
Authors: Hermann, Sibylle
Iglezakis, Dorothea
Seeland, Anett
Title: Requirements for finding research data and software
Issue Date: 2019
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 4
metadata.ubs.publikation.source: Proceedings in applied mathematics and mechanics 19 (2019), No. e201900480
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-142953
http://elib.uni-stuttgart.de/handle/11682/14295
http://dx.doi.org/10.18419/opus-14276
ISSN: 1617-7061
Abstract: Research results in simulation engineering are primarily based on software - from small scripts written by a single researcher to big software projects developed at the researchers institute or by an international community. Usually the research results are published in a publication, whereas the underlying software and data resulting from the software is not available. Consequently, the results which are discussed in an article can be difficult to reproduce. Initiatives like the FAIR data principles try to give an idea how research data can be stored in order to reuse research results. This article describes how the FAIR data principles may be applied for research software in simulation engineering and give an idea how infrastructure services can help researchers handling their research software.
Appears in Collections:13 Zentrale Universitätseinrichtungen

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