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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File | Description | Size | Format | |
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PAMM_PAMM201900480.pdf | 99,51 kB | Adobe PDF | View/Open |
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