Name
Abstract | ||
|---|---|---|
Research data management (RDM) is the activity to describe and practice what kind of data is to be used/obtained/generated, and how that data is analyzed/saved/shared or published from the plan to completion of the research project. The RDM consists ambiguous concept so that the understanding of RDM is diverse according to each researcher. In order to foster a common recognition of RDM in a Japanese university, a workshop that researchers utilize a rubric to evaluate and review their attitudes to RDM was held. In this paper, we report the process of the development of RDM rubric and the workshop. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IIAI-AAI.2019.00085 | 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI) |
Keywords | Field | DocType |
research data management, open science, fair principle, capability maturity model, rubric | Rubric,Computer science,RDM,Knowledge management,Capability Maturity Model,Ambiguous concept,Open science,Data management | Conference |
ISBN | Citations | PageRank |
978-1-7281-2628-9 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takaaki Aoki | 1 | 42 | 9.15 |
| Shoji Kajita | 2 | 0 | 0.34 |
| Tamaki Motoki | 3 | 0 | 0.34 |
| Toshihiko Iyemori | 4 | 0 | 0.34 |
| Tomoko Kawaguchi | 5 | 0 | 0.34 |