
This repository contains the Python scripts which can be used to initialise an openBIS instance with a set of metadata schemata and an example inventory for instruments, consumables, and software. The schemata contain details for several experimental techniques, simulation and machine learning approaches. The schemata are based on the requirements of the collaborative research centre CRC 1394: Structural and Chemical Atomic Complexity - From Defect Phase Diagrams to Materials Properties. They can be further adapted to suit the needs of other laboratories with similar activities. The most up-to-date version is made available in GitLab.
Material Science and Engineering, Research Data Management, Electronic Laboratory Notebook, FAIR
Material Science and Engineering, Research Data Management, Electronic Laboratory Notebook, 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 |
