diff --git a/dmp-dataset-templates/NationalScienceCenterPoland.xml b/dmp-dataset-templates/NationalScienceCenterPoland.xml new file mode 100644 index 000000000..a93d5a345 --- /dev/null +++ b/dmp-dataset-templates/NationalScienceCenterPoland.xml @@ -0,0 +1 @@ +
1.1.1dmp1.1.1.1What quality assurance processes will you use?
1.1.21.1.2.1Which existing data (yours or third party) will you re-use?
1.1.31.1.3.1How data provenance will be documented?
1.1.41.1.4.1How will you organize your files and handle versioning?
1.1How will new data be collected or produced and/or how will existing data be reused? What standards, methodologies or software will be used if new data are collected or produced?
1.2.11.2.1.1What is the purpose of the data collection/generation and its relation to the objectives of the project?
1.2.21.2.2.1 What is the origin of the data?
1.2.31.2.3.11.2.3.21.2.3.31.2.3.4What type, format and volume of data will you collect, generate or reuse?
1.2What data (for example the kinds, formats, and volumes) will be collected or produced?The descriptions should include the type, format and content of each dataset. Furthermore, provide an estimation of the volume of the generated data sets. Give details on the data format: the way in which the data is encoded for storage, often reflected by the filename extension (i.e. pdf. xls.) Give preference to open and standard formats.
1Data description and collection or re-use of existing data
2.1.12.1.1.1truetruetrue2.1.1.22.1.1.3trueWill you use metadata to describe the data?
2.1.22.1.2.12.1.2.2URL/Location
2.1.32.1.3.1truetrue2.1.3.22.1.3.3trueWill your metadata use standardised vocabularies?
2.1.42.1.4.12.1.4.2URL/Description
2.1.52.1.5.1What information is required for users (computer or human) to read and interpret the data in the future?
2.1.62.1.6.1trueIs the data machine-readable?
2.1.72.1.7.1trueWill you provide searchable metadata for your data?
2.1.82.1.8.12.1.8.2trueWhat services will you use to provide searchable metadata?
2.1.92.1.9.12.1.9.2URL/Name
2.1.102.1.10.1How will you generate this documentation?
2.1.112.1.11.1trueWill you use standardized formats to annotate some or all of your (meta)data?
2.1.122.1.12.12.1.12.2trueWhich standardised data formats do you plan on using?
2.1.132.1.13.12.1.13.2Other standardized formatsIs the structure of the file(s) provided in a standardized format?
2.1.142.1.14.1Will you use international standards or schemes (i.e. Dublin Core, DDI) to structure metadata?
2.1.152.1.15.1 Persistent identifiers
2.1What metadata and documentation (for example methodology or data collection and way of organising data) will accompany data?
2.2.12.2.1.1true2.2.1.2Do you have documented procedures for quality assurance of your data?
2.2.22.2.2.1How the data collection, analysis and processing methods used may affect the quality of data?
2.2.32.2.3.1How measurement error and bias will be eliminated?
2.2.42.2.4.1How you will minimise the risks related to data accuracy?
2.2What data quality control measures will be used?
2Documentation and data quality
3.1.13.1.1.13.1.1.2What is your storage capacity and where will the data be stored?
3.1.23.1.2.1What are the back-up procedures?
3.1.33.1.3.1Are special measures needed to transfer data from mobile devices, from fieldwork sites or from home equipment to a central work server?
3.1.43.1.4.1Do analogue or paper-based research data (maps, photographs, text) need to be digitised to increase their potential for sharing?
3.1How will data and metadata be stored and backed up during the research process?
3.2.13.2.1.1keptoninsecureWhat do you plan to do with research data of limited use
3.2.23.2.2.1Please describe why the data will be kept on insecure, unmanaged storage
3.2.33.2.3.1How the data will be recovered in the event of an incident?
3.2.43.2.4.1Who will have an access to the data during the research?
3.2.53.2.5.1How access to data will be controlled, especially in collaborative partnerships?
3.2How will data security and protection of sensitive data be taken care of during the research?If external services are asked for storage, it is important that this does not conflict with the policy of each entity involved in the project, especially concerning the issue of sensitive data. Consider data protection, particularly if your data is sensitive for example containing personal data, politically sensitive information, dual-use data. Explain which institutional data protection policies are in place.
3Storage and backup during the research process
5.1.15.1.1.1How will potential users find out about your data?
5.1.25.1.2.1For how long will the data be stored?
5.1.35.1.3.1Are there any barriers and constraints to making the research data fully or partially accessible?
5.1.45.1.4.1Will journal publishers require deposit of data supporting article findings?
5.1.55.1.5.1Do you need to ask participants for their consent for data to be shared?
5.1How and when will data be shared? Are there possible restrictions to data sharing or embargo reasons?
5.2.15.2.1.15.2.1.25.2.1.3What data must be retained or destroyed for contractual, legal, or regulatory purposes?
5.2.25.2.2.1How it will be decided what data to keep?
5.2.35.2.3.1What procedure would be used to select data to be preserved?
5.2.45.2.4.15.2.4.2true5.2.4.3What repository will you be using? Is this repository conform to the FAIR Data Principles?
5.2.55.2.5.15.2.5.2URL/Name
5.2How will data for preservation be selected, and where will data be preserved long term (for example a data repository or archive)?Consider how and on which repository the data will be made available. Outline the plan for data preservation and give information on how long the data will be retained. Consider the cost of data deposit and storage space for long-term storage. Estimate how much data storage space is needed for the entire duration of the project. Please, explain whether you choose digital repository maintained by a nonprofit organisation?
5.3.15.3.1.1Do data need to be converted to a standard or open format with long-term validity for long-term preservation?
5.3.25.3.2.1Is additional equipment or software needed for scanning or conversion?
5.3.35.3.3.1What mechanism will be used for data sharing; e.g. request handled directly, repository?
5.3What methods or software tools will be needed to access and use the data?The methods applied to data sharing will depend on several factors such as type, size, complexity and sensitivity of data. Indicate whether potential users need specific tools to access and (re-)use the data. Consider the sustainability of software needed for accessing the data.
5.4.15.4.1.1trueWill persistent identifier for the data be obtained?
5.4.25.4.2.1Which existing persistent identifier will be used (e.g. Digital Object Identifiers, Accession Numbers)?
5.4How will the application of a unique and persistent identifier (such as a Digital Object Identifier (DOI)) to each data set be ensured?Explain how the data might be re-used in other contexts. Persistent identifier should be applied so that data can be reliably and efficiently located and referred to. Persistent identifiers also help to track citations and reuse.
5Data sharing and long-term preservationData have to be shared as soon as possible, but at the latest at the time of publication of the respective scientific output. Please, also consider how the reuse of your data will be valued and acknowledged by other researchers. Explain when the data will be made available. Justify the retention period for data storage. Indicate the expected timely release. Indicate whether data sharing will be postponed or restricted for example to publish, protect intellectual property, or seek patents. Consider whether a non-disclosure agreement would give sufficient protection for confidential data.
6.1.16.1.1.1Who will be responsible for data management (i.e. data steward)?
6.1.26.1.2.1What is the role of data steward in your institution?
6.1.36.1.3.1What is his/her position in the institution?
6.1Who will be responsible for data management?
6.2.16.2.1.1What resources will be dedicated to data management and ensuring that data will be FAIR?
6.2.26.2.2.1What are the costs for making data FAIR in your project?
6.2.36.2.3.1How will these be covered?
6.2What resources will be dedicated to data management and ensuring that data will be FAIR?
6Data management responsibilities and resources
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1.1.11.1.1.1What is the purpose of the data collection/generation and its relation to the objectives of the project?
1.1.21.1.2.1What is the origin of the data?
1.1How will data be collected, created or reused?
1.2.11.2.1.11.2.1.21.2.1.31.2.1.4What types of data will be created and/or collected, in terms of data format and amount/volume of data?
1.2What types of data will be created and/or collected, in terms of data format and amount/volume of data?
1Description of data – reuse of existing data and/or production of new data
2.1.12.1.1.1truetruetrue2.1.1.22.1.1.3trueWill you use metadata to describe the data?
2.1.22.1.2.12.1.2.2URL/Location
2.1.32.1.3.1truetrue2.1.3.22.1.3.3trueWill your metadata use standardised vocabularies?
2.1.42.1.4.12.1.4.2URL/Description
2.1.52.1.5.1true Will you provide searchable metadata for your data?
2.1.62.1.6.12.1.6.2trueWhat services will you use to provide searchable metadata?
2.1.72.1.7.12.1.7.2URL/Name
2.1How will the material be documented and described, with associated metadata relating to structure, standards and format for descriptions of the content, collection method, etc.?
2.2.12.2.1.1How will data quality be safeguarded and documented (for example repeated measurements, validation of data input, etc.)?
2.2How will data quality be safeguarded and documented (for example repeated measurements, validation of data input, etc.)?
2Documentation and data quality
3.1.13.1.1.1 Is the storage sufficiently secure for the data and does the storage provide backup and recovery procedures?
3.1How is storage and backup of data and metadata safeguarded during the research process?
3.2.13.2.1.1How is data security and controlled access to data safeguarded, in relation to the handling of sensitive data and personal data, for example?
3.2.23.2.2.1keptoninsecureWhat do you plan to do with research data of limited use?
3.2.33.2.3.1Please describe why the data will be kept on insecure, unmanaged storage
3.2How is data security and controlled access to data safeguarded, in relation to the handling of sensitive data and personal data, for example?
3Storage and backup
5.1.15.1.1.1somenoneWill all your data be openly accessible?
5.1.25.1.2.15.1.2.25.1.2.3Data type/ Reason/ URL
5.1.35.1.3.15.1.3.25.1.3.3Data type/ Reason/ URL
5.1How, when and where will research data or information about data (metadata) be made accessible? Are there any conditions, embargoes and limitations on the access to and reuse of data to be considered?
5.2.15.2.1.15.2.1.2In what way is long-term storage safeguarded, and by whom?
5.2.25.2.2.1How will the selection of data for long-term storage be made?
5.2In what way is long-term storage safeguarded, and by whom? How will the selection of data for long-term storage be made?
5.3.15.3.1.1truetrueAre there any methods or tools required to access the data?
5.3.25.3.2.15.3.2.2Please provide links describing the methods for accessing the data.
5.3.35.3.3.15.3.3.2Please provide links describing the tools for accessing the data.
5.3.45.3.4.1forsomedatafornodataDo supported open-source tools exist for accessing the data?
5.3.55.3.5.1Please describe which data require proprietary tools to access the data?
5.3.65.3.6.1Please describe which data require proprietary tools to access the data?
5.3Will specific systems, software, source code or other types of services be necessary in order to understand, partake of or use/analyse data in the long term?
5.4.15.4.1.1Persistent identifiersSelect a persistent identifier (PID) from the list. You may select multiple PIDs according to the types of research outputs, needs and the area of your research.
5.4How will the use of unique and persistent identifiers, such as a Digital Object Identifier (DOI), be safeguarded?
5Accessibility and long-term storage
6.1.16.1.1.1falseWill you identify a data manager to manage your data, if not who will be responsible for the management of your data?
6.1.26.1.2.1 Identify the people or roles that will be responsible for the management of the project data.
6.1Who is responsible for data management and (possibly) supports the work with this while the research project is in progress? Who is responsible for data management, ongoing management and long-term storage after the research project has ended?
6.2.16.2.1.1What resources (costs, labour input or other) will be required for data management (including storage, back-up, provision of access and processing for long-term storage)?
6.2.26.2.2.1What resources will be needed to ensure that data fulfill the FAIR (findable, accessible, interoperable and reusable) principles?
6.2What resources (costs, labour input or other) will be required for data management (including storage, back-up, provision of access and processing for long-term storage)? What resources will be needed to ensure that data fulfil the FAIR principles?
6Responsibility and resources
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1.1.11.1.1.1What is the purpose of the data collection/generation and its relation to the objectives of the project?Up to three lines of text that summarise the type of study (or studies) for which the data are being collected.
1.1Type of study
1.2.11.2.1.1What is the origin of the data?Types of data to be managed in the following terms: quantitative, qualitative; generated from surveys, clinical measurements, interviews, medical records, electronic health records, administrative records, genotypic data, images, tissue samples...
1.2Types of data
1.3.11.3.1.1What types and formats of data will the project generate/collect?File formats, software used, number of records, databases, sweeps, repetitions… (in terms that are meaningful in your field). Do formats and software enable sharing and long-term validity of data?
1.3Format and scale of the data
1Description of the data
2.1.12.1.1.1What internationally recognised licence will you use for your data?
2.1.22.1.2.1trueWill you use naming conventions for your data?
2.1.32.1.3.12.1.3.2URL/Name
2.1Methodologies for data collection / generationHow the data will be collected/generated and which community data standards (if any) will be used at this stage.
2.2.12.2.1.1truetrue2.2.1.22.2.1.3trueWill you use standardised vocabularies?
2.2.22.2.2.12.2.2.2URL/Description
2.2.32.2.3.1truefalseWill you use standardised formats for some or all of your data?
2.2.42.2.4.12.2.4.2trueWhich standardised data formats do you plan on using?
2.2.52.2.5.12.2.5.2Standardised formatsIs the structure of the file(s) provided in a standardised format?
2.2.62.2.6.12.2.6.22.2.6.3Please describe the formats you plan to store your data in, including any URLs to documentation.
2.2.72.2.7.1Will you provide metadata describing the quality of the data?
2.2Data quality and standardsHow consistency and quality of data collection / generation will be controlled and documented, through processes of calibration, repeat samples or measurements, standardised data capture or recording, data entry validation, peer review of data or representation with controlled vocabularies.
2Data collection / generationMake sure you justify why new data collection or long term management is needed in your Case for Support. Focus in this template on the good practice and standards for ensuring new data are of high quality and processing is well documented
3.1.13.1.1.1Briefly describe how data will be stored, backed-up, managed and curated in the short to medium term. Specify any community agreed or other formal data standards used (with URL references).
3.1Managing, storing and curating data
3.2.13.2.1.1truetruetrue3.2.1.23.2.1.3trueWill you use metadata to describe the data?
3.2.23.2.2.13.2.2.2URL/Location
3.2.33.2.3.1Will your metadata be harvestable?
3.2Metadata standards and data documentationWhat metadata is produced about the data generated from the research/innovation? For example, descriptions of data that enable research/innovation data to be used by others outside of your own team. This may include documenting the methods used to generate the data, analytical and procedural information, capturing instrument metadata alongside data, documenting provenance of data and their coding, detailed descriptions for variables, records,etc.
3.3Data preservation strategy and standards
3Data management, documentation and curation
4.1.14.1.1.1truefalse4.1.1.2If your organisation is ISO compliant? If yes, please state the registration number.
4.1.24.1.2.1Identify formal information standards with which your study is or will be compliant.
4.1Formal information/data security standards
4.2.14.2.1.1keptoninsecureWhat do you plan to do with research data of limited use
4.2.24.2.2.1Please describe why the data will be kept on insecure, unmanaged storage
4.2Main risks to data securityAll personal data has an element of risk. Summarise the main risks to the confidentiality and security of information related to human participants, the level of risk and how these risks will be managed. Cover the main processes or facilities for storage and processing of personal data, data access, with controls put in place and any auditing of user compliance with consent and security conditions. It is not sufficient to write not applicable under this heading
4Data security and confidentiality of potentially disclosive informationThis section MUST be completed if your data includes personal data relating to human participants. For other research/innovation, the safeguarding and security of data should also be considered. Information provided will be in line with your ethical review. Please note this section concerns protecting the data, not the patients.
5.1.15.1.1.15.1.1.25.1.1.3trueHow will the data be made available?Identify any data repository (-ies) that are, or will be, entrusted with storing, curating and/or sharing data from your study, where they exist for particular disciplinary domains or data types.
5.1.25.1.2.15.1.2.2URL/Name
5.1.35.1.3.1somenoneWill all your data be openly accessible?Is the data you propose to collect (or existing data you propose to use) in the study suitable for sharing? If yes, briefly state why it is suitable. If No, indicate why the data will not be suitable for sharing and then go to Section 6.
5.1.45.1.4.15.1.4.25.1.4.3Data type/ Reason/ URL
5.1.55.1.5.15.1.5.25.1.5.3Data type/ Reason/ URL
5.1Suitability for sharing
5.2.15.2.1.1As part of the consent process, proposed procedures for data sharing should be set out clearly and current and potential future risks associated with this explained to participants.
5.2Restrictions or delays to sharing, with planned actions to limit such restrictionsRestriction to data sharing may be due to participant confidentiality, consent agreements or IPR. Strategies to limit restrictions may include data being anonymised or aggregated; gaining participant consent for data sharing; gaining copyright permissions. For prospective studies, consent procedures should include provision for data sharing to maximise the value of the data for wider research/innovation use, while providing adequate safeguards for participants.
5.3.15.3.1.1truetrueAre there any methods or tools required to access the data?
5.3.25.3.2.15.3.2.2Please provide links describing the methods for accessing the data.
5.3.35.3.3.15.3.3.2Please provide links describing the tools for accessing the data.
5.3.45.3.4.1How widely accessible is this depository? Indicate whether your policy or approach to data sharing is (or will be) published on your study website (or by other means).
5.3Discovery by potential users of the research/innovation dataIndicate how potential new users (outside of your organisation) can find out about your data and identify whether it could be suitable for their research/innovation purposes, e.g. through summary information (metadata) being readily available on the study website or in databases or catalogues.
5.4.15.4.1.1falseWill you identify a data manager to manage your data, if not who will be responsible for the management of your data?
5.4.25.4.2.1Identify the people or roles that will be responsible for the management of the project data
5.4Governance of accessIdentify who makes or will make the decision on whether to supply the data to a potential new user. Indicate whether the data will be deposited in and available from an identified community database, repository, archive or other infrastructure established to curate and share data.
5.5.15.5.1.1What are the timescale/dependencies for when data will be accessible to others outside of your team?Summarize the principles of your current/intended policy.
5.5The study team’s exclusive use of the dataUKRI’s requirement is for timely data sharing, with the understanding that a limited, defined period of exclusive use of data for primary research/innovation is reasonable according to the nature and value of the data, and that this restriction on sharing should be based on simple, clear principles.
5.6.15.6.1.1Indicate whether external users are (will be) bound by data sharing agreements, setting out their main responsibilities.
5.6Regulation of responsibilities of users
5Data sharing and access
6.16.1.16.1.2Apart from the PI, who is responsible at your organisation/within your consortia for
6Responsibilities
7.17.1.1Complete, policies which are relevant to your study, and are in the public domain, e.g. accessible through the internet. (Data Management Policy & Procedures, Data Security Policy, Data Sharing Policy, Institutional Information Policy)
7Relevant institutional, departmental or study policies on data sharing and data security
8.18.1.1falsetrue8.1.2Is Author of this Data Management Plan different to that of the Principal Investigator?
8.28.2.18.2.28.2.3Author of this Data Management Plan details
8Author of this Data Management Plan (Name) and, if different to that of the Principal Investigator, their telephone & email contact details
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