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This document contains the selection policy that DANS has established for the DANS Data Stations. The document records the criteria under which the presented datasets meet the goals for which DANS has implemented the Data Stations, namely for the archiving and publication of research data to enable reuse.<\/p>\n
The DANS Data Stations are domain-specific research data repositories. Repositories are currently available for the following research domains:<\/p>\n
DANS adopts the following criteria in determining whether a dataset will be accepted into our Data Stations:<\/p>\n
We archive and publish research data, for which we use the following definition:<\/p>\n
We adopt the following guidelines concerning the types of digital objects we archive and publish:<\/p>\n
We do not, in principle, accept:<\/p>\n
Every Data Station has its own designated community <\/em>defined according to discipline. The community consists of active researchers, either (previously) attached to an academic institution, or (formerly) employed at a government institution or other organisation that carries out research, or active as a citizen scientist, in one of the following domains:<\/p>\n We archive, in principle, only datasets that have been deposited according to the \u2018as open as possible, as closed as necessary\u2019 principle. Depositors must contact DANS<\/a> if they wish to deviate from this principle, for instance, because their datasets may not be made available for download publicly or after access request.<\/p>\n The scientific research results must be replicable (where replicability applies). To that end, the dataset must be supplied with sufficient supporting documentation, and the entire \u2018Research Data Life Cycle\u2019 must be considered. The dataset must also contain a reference to the research software required for replicating the research results. Self-written code and algorithms may be supplied with the datasets or stored in a software platform or repository approved by DANS and linked to the dataset using persistent identifiers.<\/p>\n DANS accepts datasets that result from scientific research or are reusable for scientific research. We will archive data produced in research conducted within educational programmes if there are opportunities for reuse, in consultation with the supervisor. In this case, data deposition by the supervisor, or a data steward from the department where the supervisor works, is preferred.<\/p>\n The research consortium or the research theme must have a relationship with the Netherlands. This relationship can be considered in the broadest sense of the word, including the research subject, the researchers involved in the project, the institution where the research is conducted, or the language that plays a role in the research.<\/p>\n If the depositor does not have an alternative available (for example, if they work in a country that does not have a research data management infrastructure), we will try to refer the client to available alternatives.<\/p>\n For storing datasets of exceptional scientific value that are in danger of becoming orphaned or disappearing, DANS can suspend the criterium regarding the relationship with the Netherlands.<\/p>\n The limit for free depositions is 50 GB per depositor. DANS must be contacted<\/a> for larger deposits. This upper limit does not apply where it concerns a legal obligation to deposit data with DANS.<\/p>\n We want to receive datasets that serve as a basis for further research. DANS\u2019s archiving services are aimed at reusability. In this regard, completeness is theoretically preferred. Situations may arise where practical barriers exist to storing the entire raw dataset (formats, size, convenience, and number of deposited files). The Data Station Managers are responsible for the final selection if there is any cause for doubt.<\/p>\n\n
#4. Openness<\/h3>\n
#5. Replicability<\/h3>\n
#6. Level of research<\/h3>\n
#7. Relationship of the dataset with the Netherlands:<\/h3>\n
#8. Volume of depositions from one depositor<\/h3>\n
#9. Raw data vs. processed data<\/h3>\n
#10. File formats<\/h3>\n