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Research Data Management (RDS)

Research Data Management is about properly storing your research data (software, benchmarks, ..) enabling other researchers to check your results and build further on them. Research data management is important: there have been many instances where a PhD student developed some nice software tool, published papers about it, got his/her degree, but only a few years later the tool was no longer available, and so the results could no longer be verified or used. This is bad science!

Attached you find a letter from our executive board about some new policies wrt data management.

The current plan from our executive board is to explicitly ask manuscript committees to evaluate research data management of the data on which a PhD thesis is based. Basically, this means that if you are working on a PhD thesis now, you want to pay serious attention to research data management! (Actually, also when you are not writing a PhD thesis ...) )

There is some good help available:

- iCIS has an official data management policy that is available via https://www.ru.nl/icis/research-data-management/policy-protocol/ and a data steward, [Mennink], who can help you. Briefly summarized, the policy of iCIS is that all our software, benchmarks, etc... is developed under version control, e.g. with Git, and that snapshots of the research data that we describe in our publications are deposited in data repositories such as the Radboud RIS system.

- Radboud University maintains some excellent webpages on research data management, see https://www.ru.nl/rdm/

- Small datasets can be deposited via the RIS interface in the DANS EASY archive, see https://ris.ru.nl/. Good support is available.

PMS

PMS stands for Publication Management System. This system must be used to register Technical Reports. In addition it can also be used to register other types of publications. But currently it is only used for technical reports.