Hornung, Daniel ; Spreckelsen, Florian ; Weiß, Thomas (2024)
Agile Research Data Management with Open Source: LinkAhead.
In: ing.grid : FAIR data management in engineering sciences, 1 (2)
doi: 10.48694/inggrid.3866
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
Research data management (RDM) in academic scientific environments increasingly enters the focus as an important part of good scientific practice and as a topic with big potentials for saving time and money. Nevertheless, there is a shortage of appropriate tools, which fulfill the specific requirements in scientific research. We identified where the requirements in science deviate from other fields and proposed a list of requirements which RDM software should answer to become a viable option. We analyzed a number of currently available technologies and tool categories for matching these requirements and identified areas where no tools can satisfy researchers' needs. Finally we assessed the open-source RDMS (research data management system) LinkAhead for compatibility with the proposed features and found that it fulfills the requirements in the area of semantic, flexible data handling in which other tools show weaknesses.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Hornung, Daniel ; Spreckelsen, Florian ; Weiß, Thomas |
| Art des Eintrags: | Bibliographie |
| Titel: | Agile Research Data Management with Open Source: LinkAhead |
| Sprache: | Englisch |
| Publikationsjahr: | 30 Januar 2024 |
| Ort: | Darmstadt |
| Verlag: | Universitäts- und Landesbibliothek Darmstadt |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | ing.grid : FAIR data management in engineering sciences |
| Jahrgang/Volume einer Zeitschrift: | 1 |
| (Heft-)Nummer: | 2 |
| Kollation: | 25 Seiten |
| DOI: | 10.48694/inggrid.3866 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Research data management (RDM) in academic scientific environments increasingly enters the focus as an important part of good scientific practice and as a topic with big potentials for saving time and money. Nevertheless, there is a shortage of appropriate tools, which fulfill the specific requirements in scientific research. We identified where the requirements in science deviate from other fields and proposed a list of requirements which RDM software should answer to become a viable option. We analyzed a number of currently available technologies and tool categories for matching these requirements and identified areas where no tools can satisfy researchers' needs. Finally we assessed the open-source RDMS (research data management system) LinkAhead for compatibility with the proposed features and found that it fulfills the requirements in the area of semantic, flexible data handling in which other tools show weaknesses. |
| Freie Schlagworte: | Data Management, Research Data Management, Agile Data Management, Software Tools, FAIR Data, Good Scientific Practice |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006) 16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006) > Forschungsdatenmanagement und digital literacy |
| Hinterlegungsdatum: | 26 Mär 2024 07:46 |
| Letzte Änderung: | 26 Mär 2024 07:46 |
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| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
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Agile Research Data Management with Open Source: LinkAhead. (deposited 25 Mär 2024 13:36)
- Agile Research Data Management with Open Source: LinkAhead. (deposited 26 Mär 2024 07:46) [Gegenwärtig angezeigt]
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