diff --git a/dmp-dataset-templates/AcademyOfFinland.xml b/dmp-dataset-templates/AcademyOfFinland.xml
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+ 1
+ General description of data
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+ 2
+ Ethical and legal compliance
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+ 3
+ Documentation and metadata
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+ 4
+ Storage and backup during the research project
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+ 5
+ Opening, publishing and archiving the data after the research project
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+ 6
+ Data management responsibilities and resources
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diff --git a/dmp-dataset-templates/FWF.xml b/dmp-dataset-templates/FWF.xml
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+ 1
+ Data Characteristics: Description of the data
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+ 2.1
+ Metadata standards
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+ What metadata standards (if any) will be in use and why?
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+ 2.2.1
+ What information is needed for the data to be findable, accessible, interoperable and re-usable (FAIR) in the future?
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+ 2.2.2
+ Is the data machine-readable?
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+ 2.2.3
+ How are you planning to document this information?
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+ 2.2
+ Documentation of data
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+ 2.3
+ Data quality control
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+ 2
+ Documentation and Metadata
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+ 3.1
+ Data sharing strategy
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+ 3.2
+ Data storage strategy
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+ 3
+ Data Availability and Storage
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+ 4.1
+ Legal aspects
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+ 4.2
+ Ethical aspects
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+ 4
+ Legal and Ethical Aspects
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diff --git a/dmp-dataset-templates/NetherlandsOrganisationForScientificResearch (NWO).xml b/dmp-dataset-templates/NetherlandsOrganisationForScientificResearch (NWO).xml
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+ 1
+ General Information
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+ 2
+ Description dataset
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+ 3.1
+ During the research
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+ 3.2
+ After the research
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+ The data should preferably be stored for the long-term in a national or international trusted repository. If this is not possible then the data should be stored by the institutional repository. Contact the intended data repository or archive well in advance about the requirements for depositing the data.
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+ 3
+ Data Storage
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+ 4.1
+ How will the data be documented?
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+ 4
+ Standards and Metadata
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+ To make data findable and readable in the future and to be able to interpret it the data collection must be provided with descriptive information in the form of metadata. Without metadata – meaning without a good documentation of the data – most data can not be interpreted ore reused properly. Disciplines have developed different standards for metadata. That way datasets stemming from the same discipline can be linked or data can be combined. A widely used standards is the Dublin Core standard. The Digital Curation Centre (DCC) maintains a list of widely used disciplinary meta data standards.
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+ 5
+ Making data available
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+ NWO expects data stemming from NOW funded research projects to be made openly available for reuse after the end of the project. Following the guidelines of the European Commission the general rule for NWO is: “as open as possible, as closed as necessary”. If there are good reasons not to make data openly available immediately after the project (or only after an embargo period) please motivate here. In addition it is advised to determine which conditions apply to obtain access to your data. Examples of this are agreements that will be made concerning methodology, publications, the access period, availability of data, the costs (handling fee), copyright aspects, etc.
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+
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diff --git a/dmp-dataset-templates/ScienceFoundationIrelandLuxembourgNationalResearchFund.xml b/dmp-dataset-templates/ScienceFoundationIrelandLuxembourgNationalResearchFund.xml
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+ 1.1
+ How will new data be collected or produced and/or how will existing data be re-used?
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+ 1.2
+ What data (for example the kind, formats, and volumes), will be collected or produced?
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+ 1
+ Data Description And Collection Or Re-use Of Existing Data
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+ 2.1
+ What metadata and documentation will accompany the data?
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+ For example the methodology of data collection and way of organizing data
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+
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+ 2.2
+ What data quality control measures will be used?
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+ 2
+ Documentation And Data Quality
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+ 3.1
+ How will data and metadata be stored and backed up during the research?
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+ 3.2
+ How will data security and protection of sensitive data be taken care of during the research?
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+ 3
+ Storage And Backup During The Research Process
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+ 4.1
+ Personal data
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+ Ensure that when dealing with personal data data protection laws (for example GDPR) are complied with: ›› Gain informed consent for preservation and/or sharing of personal data. ›› Consider anonymisation of personal data for preservation and/or sharing (truly anonymous data are no longer considered personal data). ›› Consider pseudonymisation of personal data (the main difference with anonymisation is that pseudonymisation is reversible). ›› Consider encryption which is seen as a special case of pseudonymisation (the encryption key must be stored separately from the data, for instance by a trusted third party).
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+ 4.2.1
+ Data ownership and accessibility
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+ Make sure to cover these matters of rights to control access to data for multi-partner projects and multiple data owners, in the consortium agreement.
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+ 4.2.2
+ Intellectual property rights
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+ 4.2.3
+ Third-party data restrictions
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+ 4.2
+ How will other legal issues, such as intellectual property rights and ownership, be managed? What legislation is applicable?
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+ 4.3
+ Ethical issues
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+ Consider whether ethical issues can affect how data are stored and transferred, who can see or use them, and how long they are kept. Demonstrate awareness of these aspects and respective planning. • Follow the national and international codes of conducts and institutional ethical guidelines, and check if ethical review (for example by an ethics committee) is required for data collection in the research project.
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+ 4
+ Legal And Ethical Requirements, Codes Of Conduct
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+ 5.1
+ How and when will data be shared? Are there possible restrictions to data sharing or embargo reasons?
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+ 5.2
+ How will data for preservation be selected, and where data will be preserved long-term?
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+ For example a data repository or archive
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+ 5.3
+ What methods or software tools are needed to access and use data?
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+ 5.4
+ How will the application of a unique and persistent identifier to each data set be ensured?
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+ Such as a Digital Object Identifier (DOI)
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+
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+ 5
+ Data Sharing And Long-term Preservation
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+ 6.1
+ Who will be responsible for data management?
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+ For example role, position, and institution. i.e. the data steward
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+ 6.2
+ What resources will be dedicated to data management and ensuring that data will be FAIR (Findable, Accessible, Interoperable, Re-usable)?
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+ For example financial and time
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+
+
+ 6
+ Data Management Responsibilities And Resources
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+
+
+
+
\ No newline at end of file
diff --git a/dmp-dataset-templates/TheResearchCouncilOfNorway.xml b/dmp-dataset-templates/TheResearchCouncilOfNorway.xml
new file mode 100644
index 000000000..7170ca130
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+
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+ 1.1
+ The kind of data that will be generated
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+
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+ 1.2
+ How the data will be described
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+
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+ 1
+ Data Origin and Description
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+ 2
+ Storage and Backup
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+
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+
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+ 3.1
+ Whether and how the data can be shared
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+
+
+
+
+ 3
+ Data Sharing and Long-term Preservation
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+
+
+
+
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