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Many researchers use virtual research environments, such as JupyterLab, where substantial data produced during the whole research lifecycle. However, data publishing and sharing typically happen only at the end of the research and shared data often lack important metadata, mainly due to the need of manual inputs. This project aims to develop and operationalize a tool (JupyterFAIR) for 'one-click' and seamless integration of research environments and data repositories, including metadata transfer and data quality checks. The tool will significantly decrease manual intervention needed to archive research data and promote more frequent data sharing in line with FAIR principles.
This proposal is funded by the Dutch Research Council (NWO) Open Science Fund, File No. 203.001.114.
JupyterLab, computing platform, software development, research data management, research data, Project Jupyter, FAIR
JupyterLab, computing platform, software development, research data management, research data, Project Jupyter, FAIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 20 |

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