{"status":"public","_id":"52676","user_id":"95903","year":"2023","type":"journal_article","publisher":"Cambridge University Press (CUP)","citation":{"short":"O. Altun, P. Oladazimi, M.L. Wawer, S. Raumel, M. Wurz, K. Barienti, F. Nürnberger, R. Lachmayer, I. Mozgova, O. Koepler, S. Auer, Proceedings of the Design Society 3 (2023) 1635–1644.","ieee":"O. Altun <i>et al.</i>, “ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA,” <i>Proceedings of the Design Society</i>, vol. 3, pp. 1635–1644, 2023, doi: <a href=\"https://doi.org/10.1017/pds.2023.164\">10.1017/pds.2023.164</a>.","bibtex":"@article{Altun_Oladazimi_Wawer_Raumel_Wurz_Barienti_Nürnberger_Lachmayer_Mozgova_Koepler_et al._2023, title={ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA}, volume={3}, DOI={<a href=\"https://doi.org/10.1017/pds.2023.164\">10.1017/pds.2023.164</a>}, journal={Proceedings of the Design Society}, publisher={Cambridge University Press (CUP)}, author={Altun, Osman and Oladazimi, Pooya and Wawer, Max Leo and Raumel, Selina and Wurz, Marc and Barienti, Khemais and Nürnberger, Florian and Lachmayer, Roland and Mozgova, Iryna and Koepler, Oliver and et al.}, year={2023}, pages={1635–1644} }","ama":"Altun O, Oladazimi P, Wawer ML, et al. ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA. <i>Proceedings of the Design Society</i>. 2023;3:1635-1644. doi:<a href=\"https://doi.org/10.1017/pds.2023.164\">10.1017/pds.2023.164</a>","chicago":"Altun, Osman, Pooya Oladazimi, Max Leo Wawer, Selina Raumel, Marc Wurz, Khemais Barienti, Florian Nürnberger, et al. “ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA.” <i>Proceedings of the Design Society</i> 3 (2023): 1635–44. <a href=\"https://doi.org/10.1017/pds.2023.164\">https://doi.org/10.1017/pds.2023.164</a>.","mla":"Altun, Osman, et al. “ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA.” <i>Proceedings of the Design Society</i>, vol. 3, Cambridge University Press (CUP), 2023, pp. 1635–44, doi:<a href=\"https://doi.org/10.1017/pds.2023.164\">10.1017/pds.2023.164</a>.","apa":"Altun, O., Oladazimi, P., Wawer, M. L., Raumel, S., Wurz, M., Barienti, K., Nürnberger, F., Lachmayer, R., Mozgova, I., Koepler, O., &#38; Auer, S. (2023). ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA. <i>Proceedings of the Design Society</i>, <i>3</i>, 1635–1644. <a href=\"https://doi.org/10.1017/pds.2023.164\">https://doi.org/10.1017/pds.2023.164</a>"},"language":[{"iso":"eng"}],"page":"1635-1644","quality_controlled":"1","publication":"Proceedings of the Design Society","publication_status":"published","doi":"10.1017/pds.2023.164","date_created":"2024-03-20T11:06:17Z","publication_identifier":{"issn":["2732-527X"]},"author":[{"last_name":"Altun","full_name":"Altun, Osman","first_name":"Osman"},{"last_name":"Oladazimi","full_name":"Oladazimi, Pooya","first_name":"Pooya"},{"last_name":"Wawer","full_name":"Wawer, Max Leo","first_name":"Max Leo"},{"last_name":"Raumel","full_name":"Raumel, Selina","first_name":"Selina"},{"first_name":"Marc","last_name":"Wurz","full_name":"Wurz, Marc"},{"first_name":"Khemais","last_name":"Barienti","full_name":"Barienti, Khemais"},{"first_name":"Florian","full_name":"Nürnberger, Florian","last_name":"Nürnberger"},{"first_name":"Roland","full_name":"Lachmayer, Roland","last_name":"Lachmayer"},{"full_name":"Mozgova, Iryna","last_name":"Mozgova","first_name":"Iryna"},{"first_name":"Oliver","last_name":"Koepler","full_name":"Koepler, Oliver"},{"first_name":"Sören","last_name":"Auer","full_name":"Auer, Sören"}],"volume":3,"department":[{"_id":"741"}],"intvolume":"         3","date_updated":"2024-03-20T11:20:56Z","title":"ENHANCED FINDABILITY AND REUSABILITY OF ENGINEERING DATA BY CONTEXTUAL METADATA","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>Complex research problems are increasingly addressed by interdisciplinary, collaborate research projects generating large amounts of heterogeneous amounts of data. The overarching processing, analysis and availability of data are critical success factors for these research efforts. Data repositories enable long term availability of such data for the scientific community. The findability and therefore reusability strongly builds on comprehensive annotations of datasets stored in repositories. Often generic metadata schema are used to annotate data. In this publication we describe the implementation of discipline specific metadata into a data repository to provide more contextual information about data. To avoid extra workload for researchers to provide such metadata a workflow with standardised data templates for automated metadata extraction during the ingest process has been developed. The enriched metadata are in the following used in the development of two repository plugins for data comparison and data visualisation. The added values of discipline-specific annotations and derived search features to support matching and reusable data is then demonstrated by use cases of two Collaborative Research Centres (CRC 1368 and CRC 1153).</jats:p>","lang":"eng"}]}