Research data is data collected or generated during research. It is used as a basis for analysis. Research data comes in different formats (measurement data, pictures, geographical data, models, chromatograms, surveys).
Research data is valuable and good management of it is worthwhile!
Aside from the various data centers, you will find Dutch research data via NARCIS. This portal gives access to thousands of scientific datasets and e-publications in the Netherlands.
Many datasets can also be found via Google and other search engines on the internet. An increasing number of online scientific journals offer persistent links to corresponding datasets. Just add: 'database OR dataset OR registry OR archive OR statistics' to your search.
On the re3data.org site you can find well documented, online repositories containing data. These have been evaluated by re3data.org on several points.
You can check the search engine Zanran for tables, figures and statistics.
In Datacite you can search for datasets that have already received a persistent identifier.
There are several reasons why research data is in the public eye. Publication pressure raises issues of scientific integrity; data can confirm validity of results. However, and most importantly, data is valuable and contains potentially new and reusable information. Research is increasingly becoming data driven. Metrics for data-citation are being developed in order for data to have scientific impact, which is to the advantage of researchers.
If research data needs to be available and (re-)usable (!) it helps a lot if data is well-managed right from the start of a project. A data management plan can help you manage your data and make storage and/or sharing less cumbersome.
There are several tools for making a data management plan.
The library offers support to make and fill in data management plans. Ask your library contact person for the possibilities.
Because you have to:
Because it offers advantages:
There is a difference between archiving data (storing it safely) and sharing data. Save and durable storage is preferably done in more copies on sites where backups are regularly made and checks are performed on bit rot. Sharing data is done on a site that is accessible for many researchers and which is a logical place for a researcher to look for a dataset, such as a public repository. Sharing data can also be done by referring to the data by means of a persistent link ('persistent identifier'), on a prominent place in a publication or website.
Sharing data does not necessarily mean immediately nor completely without restrictions. Research data can also be made available under embargo, to be shared only after a specific time. Or data can be made available on a non-public site, where access is granted on request. In this way there is more insight on who uses the data and how. A license on the use of the data determines what is allowed and what is not.
Whatever public repository you choose, ensure that it has a quality mark (such as the 'data seal of approval') and that the data recieves a persistent identifier for permanent referral to the data.
Do you wish to keep your data available permanently? The online archiving system EASY offered by DANS is a good option for data in the social sciences and humanities. For more technical data, geo spatial data and engineering data, 4TU.ResearchData is a good option.
Do you, as group or project, wish to keep your data together, manage it and keep complete control on who has access to it? Opt for DataverseNL. A Dataverse can be applied for through the library.
Research data associated with scientific publications can be stored in DRYAD; various academic journals facilitate this.
There are discipline-specific and even datatype-specific repositories to upload your data to. re3data.org helps you to find a suitable repository.
The following options are also available: