Data Collections Explorer – An Information System for the Engineering Sciences
Ost, Philipp
1; Stotzka, Rainer
1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
1; Stotzka, Rainer
11 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
Abstract (englisch):
The poster provides an overview of and an introduction to the Data Collections Explorer. It is an information system for engineering related resources, such as repositories, databases, archives, as well as datasets published independent of these structures. In addition, the poster describes current developments and provides an outlook on future work.
The target audience are scientists either searching for data sets or looking to publish their data sets.
Seeking to share or publish their research data sets, scientists are confronted with questions such as: what is an appropriate repository for publishing the data sets? Do repositories have size restrictions with respect to the data sets that can be uploaded? What is this limit? Are publication fees charged?
Searching for data sets, scientists are often confronted with questions such as: are data sets available to aid in research? Are benchmarks available to check results? Are these data sets available under an open access license?
The Data Collections Explorer is a low-threshold web service to share and discover research data. To help get an overview and answer the above questions, it provides a free-text search as well as drop-down menus to filter its entries for the following criteria:
... mehr
The target audience are scientists either searching for data sets or looking to publish their data sets.
Seeking to share or publish their research data sets, scientists are confronted with questions such as: what is an appropriate repository for publishing the data sets? Do repositories have size restrictions with respect to the data sets that can be uploaded? What is this limit? Are publication fees charged?
Searching for data sets, scientists are often confronted with questions such as: are data sets available to aid in research? Are benchmarks available to check results? Are these data sets available under an open access license?
The Data Collections Explorer is a low-threshold web service to share and discover research data. To help get an overview and answer the above questions, it provides a free-text search as well as drop-down menus to filter its entries for the following criteria:
... mehr
| Zugehörige Institution(en) am KIT | Scientific Computing Center (SCC) |
| Publikationstyp | Poster |
| Publikationsdatum | 27.06.2023 |
| Sprache | Englisch |
| Identifikator | KITopen-ID: 1000160844 |
| HGF-Programm | 46.21.05 (POF IV, LK 01) HMC |
| Weitere HGF-Programme | 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups |
| Veranstaltung | 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.06.2023 – 29.06.2023 |
| Projektinformation | NFDI4Ing (DFG, NFDI 9/1) NFDI-MatWerk (DFG, NFDI 38/1) |
| Bemerkung zur Veröffentlichung | This work has been supported by NFDI4Ing (DFG – project number 442146713), NFDI-MatWerk (DFG – project number 460247524), the research program ‘Engineering Digital Futures’ by the Helmholtz Research Association and the Helmholtz Metadata Collaboration (HMC) platform. |
| Schlagwörter | NFDI-MatWerk, NFDI4Ing, NFDI |
