
To realise the vision of Open Science and achieve its goals, Open Science practices must be integrated into the scientific workflow. With appropriate infrastructure, including hardware, software, and personal support, research institutes enable their researchers to effortlessly comply with legal and regulatory requirements (such as the GDPR), institutional policies (on data management, ethics, and security), Open Science principles (such as FAIR data and software), and Research Integrity codes of conduct (promoting transparency and traceability). Relevant infrastructures include open scholarly communication (OSC), research data management (RDM), and open research information (ORI). Each of these infrastructures is made up of multiple components, many of which are shared across them. Ultimately, they form a single, comprehensive, and integrated infrastructure, as explained in this document.
| 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 |
