
How to keep track of your data during and after your research? This question is central to this workshop. In this presentation the RDM Support Team of the Radboud University introduces you to the good practices of research data organisation. The workshop discusses what you can do at both the level of your project, your data collection and individual datasets in order to make and keep your research data structured, informative and accessible. The workshop discusses good practices while leaving space for personal preferences or discipline-specific traditions, providing you with an overview of the various ways in which you can manage your research data in a way that suits your needs. This includes generic strategies such as metadata, READMEs, file names and folder structures and version control and file formats, but also specific documentation practices for both quantitative and qualitative research.. This workshop addresses topics such as: How to organise and document your research project through either metadata or READMEs. How to name, structure and organise your research data files. How to organise the documentation of either qualitative or quantitative research.
RDM, metadata, file formats, file names, data management, research data management, folder structure, data documentation, readme, research data, data organisation, version control
RDM, metadata, file formats, file names, data management, research data management, folder structure, data documentation, readme, research data, data organisation, version control
| 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 |
