The NFU encourages you to create a data management plan at the start of your research project.
Many research funders request that you:
Funding bodies require varying degrees of planning at the bidding stage. They often provide a standard format for data management plans. Funders tend to respond more positively to grant applications with clear data management plans.
Examples of funders that demand a data management plan are:
Examples of data management plans (DMPs) can help you get a sense of issues that you should address. It is, however, unlikely that you can reuse large parts of existing data management plans for your project, because every project is unique. If you need help in writing a data management plan, consider consulting an expert.
Examples of required DMPs by funders:
The University of Cambridge has a section dedicated to data management on their website. Here you can find information on various aspects of research data management and data sharing.
|Institute||Research code||DMP policy||DMP template||DMP course||University information|
SOP research data management
DMP template - pdf on this page
|/||UvA: research data management|
|VUmc||VUmc research guide||/||/||/||
VU: research data management (in Dutch)
and datamanagement for researchers (in Dutch)
|UMCG||UMCG research code||
Procedures clinical research:
- toolbox (intranet)
DMP template - pdf on this page
|Making a data management plan||
|UMC Utrecht||Good scientists make good science (intranet)||Datamanagement mensgebonden onderzoek (in Dutch)||
(available Dec 2017)
|Data management clinical research||UU: research data management guide|
|LUMC||LUMC good research practice and integrity||Research ICT program||/||Advanced Data Management|
|MUMC+||MUMC+ research code||/||/||
CTCM data management video (in Dutch)
|MU: research data management|
|Radboudumc||Data management policy||Data management 'normenkader'||Data management: documents and templates||RU: research data management|
|ErasmusMC||Erasmus MC research code||/||/||/||EUR: data management plans|
The responsibility for planning research data management lies primarily with principal investigators (PIs).
The costs of data management (and a data management plan) can be part of your grant application. Long-term preservation of data after your project has finished can be costly. Libraries or repositories can solve this by pre-payment for fixed long-term storage.
Utrecht University has published a data management cost guide.
For randomized controlled trials, a statistical analysis plan is obligatory. You should always make an analysis plan prior to analysing your data, but it is preferably to already make the plan before you start collecting data. This is because it facilitates proper study design (in-and exclusion criteria, number of study subjects needed, decisions with regard to statistical power, choice of data items to be collected, etc.) We recommend having the plan validated by a statistician.
Essentials 4 Data Support is an introductory course for those people who (want to) support researchers in storing, managing, archiving and sharing their research data.
Coursera MOOC 'Research Data Management and Sharing' by the University of North Carolina at Chapel Hill and The University of Edinburgh (MANTRA course content incorporated)