
The activity carried out in Task 3.3 was focused on possible processes for collecting new data and federating existing datasets. Reliable and effective data pipelines will be designed to process raw data and data provided by external data providers, enabling the construction of the EIRENE RI Virtual Infrastructure. The EIRENE RI distributed infrastructure will enable scientists to process data using complex algorithms and tools, while also supporting policymakers, NGOs, and citizens in their assessments. This Deliverablegives an overview of methods for data Collection and Data Generation, the latter becoming more and more fundamental for research, providing the raw material needed to gain data insights, build models, and make informed decisions. A brief paragraph describes Data Collection and Generation in EIRENE, which is an ongoing activity. Editing of this Deliverable was assisted by GEMINI, the Google AI-powered tool.
| 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 |
