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CC BY 4.0 Lister, A., & Davidson, J. (2024). Alignment of FAIRsharing Policy Attributes with Community Efforts (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10658162Please see our related blog posts at:
https://blog.fairsharing.org/?p=691
https://dcc.ac.uk/blog/fairsharing-and-dcc-collaborate-align-policy-metadata
https://blog.fairsharing.org/?p=451
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FAIRsFAIR Structured Policy Description Template (Step by step guide) (checklist) Davidson et. alMatch type with FAIRsharing metadata (see FAIRsharing documentation)FAIRsharing metadata fieldsConcordat on Open Research Data (hosted by UKRI)Match type with FAIRsharing metadata (see FAIRsharing documentation)FAIRsharing metadata fieldsRDA: Developing a Research Data Policy Framework for All Journals and Publishers Hrynaszkiewicz et. al. This document deals more with the content of a policy than its context, and therefore will necessarily not completely match Davidson et. al or FAIRsharing.General Comments
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NumberSectionPolicy ElementNumber and Policy ElementPolicy element
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1Policy ContextTitle of policyexactRecord name
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2Availability of the policyexactpresence within FAIRsharing will provide both human- and machine-readable metadata
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3Country/CountriesexactCountries
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4Year policy was introducedexactYear of creation
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5Status of policyexactstatus
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6Policy is scheduled for reviewnot in initial mappingn/aThis level of detail is not required for FAIRsharing at this stage.
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7If scheduled for review, when will this take place?not in initial mappingn/aThis level of detail is not required for FAIRsharing at this stage.
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8Persistent Identifier (PID) for policy (i.e., not a question about whether
policy requires PIDs but rather is there a PID for the policy document itself)
exacthomepageIf a policy already has a persistent identifier, it must be provided in FAIRsharing through the FAIRsharing homepage field. Different policy document versions may be linked in the support information if desired, though version information is not required in FAIRsharing.
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9Policy is registeredexactRegistered with FAIRsharing and given a DOIThe record for the policy within FAIRsharing fulfils this requirement
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10Subject area/discipline coveredexactsubject, domain and taxonomy tags
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11Sub-discipline if applicableexactsubject, domain and taxonomy tags
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12Type of policyexactrecord typeFAIRsharing has a subset of the ones available from the FAIRsFAIR forrm; FAIRsharing has journal (not in FAIRsFAIR), journal publisher, funder, project, society and institution.
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13Policy contentScope of the policy exact; but partialFAIRsharing currently only stores data policies; however, our definition of "data" is very broad, and encompasses all digital research objects e.g. software, publications etcDefinition of research dataAs FAIRsharing considers 'data' policies to cover all research digital objects, at the moment we have no scope beyond 'data. In future, we may add scope via the domain ontology.
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14Definition of data providednot in initial mappingn/aDefinition of research dataThis level of detail is not required in FAIRsharing at this stage.
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15Sharing research softwareexact, added in 2022FAIRsharing: sharing research softwareSupplementary materialsHrynaszkiewicz et. al use this field to differentiate between the use of supplementary material vs the use of PIDs pointing to digital objects stored in a central repository of some kind. For Davidson et. al and FAIRsharing, this field is used to capture whether or not software is shared, and whether this is required or suggested. Not an exact match with Hrynaszkiewicz et. al, but definitely related.
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16Data sharingexact, added in 2022FAIRsharing: mandated data sharing 1a. Institutions should have policies, practices and culture that recognise the value of open data and of the work done to enable it throughout the research process.exactMandated data sharing field may be anything other than 'not covered'Mandatory data sharing (specific papers);
Mandatory data sharing (all papers)
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17Alignment with FAIR principlesexact, added in 2024Relationships from policy record to the FAIR Principles record (https://doi.org/10.25504/FAIRsharing.WWI10U). This relationship was not explicitly stated until 2024, however it has always been available. Note that the relationship between the FAIR principles and a policy is added whenever a policy states even some degree of alignment with FAIR; it does NOT mean that the linked policy is in complete alignment with FAIR.
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18Metadata sharingexact, added in 2022FAIRsharing: sharing metadata7p. Institutions should support provision of sufficient metadata for data evaluation and reuse.exactSharing metadata field == yes
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19Exceptions to data sharing are allowedexact, added in 2022FAIRsharing: exceptions to data sharing2c. Institutions should have verifiable and transparent processes of oversight to guide decisions on whether, when and how data may be made available in some form, to reflect situations where (e.g.) data relates to or is derived from individuals, or has commercial sensitivity, or third-party intellectual property rights.exactexceptions to data sharing == yesDefinition of exceptions;
Embargoes
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20Policy includes expectation on data management planning (DMP) developmentexact, added in 2022FAIRsharing: DMP development (multiple fields)Data Management Plans (DMPs)The RDA item is specifically dealing with whether or not the DMP should be made public, and not about whether or not one should be made/versioned/produced at a particular stage. Therefore this is not directly analagous to any of the FAIRsFAIR items.
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21If a DMP should be developed, please indicate the stage at which it should be producedexact, added in 2022FAIRsharing: timing of DMP
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22Is there an expectation that the DMP will be updated and clearly versioned?exact, added in 2022FAIRsharing: updating of DMP
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23Policy makes reference to data protection (e.g, GDPR)exact, added in 2022FAIRsharing: data protection
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24Policy makes reference to research integrity not in initial mappingn/aPeer review of dataThis level of detail is not required in FAIRsharing at this stage.
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25Policy makes reference to specific standards or protocols that should be adopted.exactrelationships from policy record to standards records7q. Institutions should encourage the use of non-proprietary formats.near match
Although any explictly-mentioned standards will be recorded in the relationships within a FAIRsharing record, more general statements e.g. "non-proprietary formats should be used" cannot be captured in FAIRsharing metadata
Discover the recommended standards linked to the policy recordData formats and standards
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26Use of trusted digital repositoriesexactrelationships from policy record to database records7o. Where institutions provide access to data repositories, these repositories should be able to guarantee the persistence of the datasets for a reasonable time period. See also item 32.exactDiscover the recommended institutional database record via the policy's relationships, and check that database record's data preservation policy field.Data repositoriesThe presence of relationship links to database records will provide "yes" answer to this question without stating if those resources are required or recommended. As "trusted" is meant to be defined by the policymaker, this is not relevant to the FAIRsharing record and we deal with this item in the same way as item 25 (standards to be adopted)
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27Policy requires a data availability statement exact, added in 2022FAIRsharing: data availability statementData availability statements (DASs)
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28Policy addresses Intellectual Property (IP) rightsnot in initial mappingn/aThis level of detail is not required in FAIRsharing at this stage.
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29Policy specifies a preferred license type for outputsexact, added in 2022FAIRsharing: licence for outputsData licensingCould also optionally provide the ability to explicitly list required/recommended licences. However, we will not implement this extra feature at this stage.
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30Policy includes expectation about data citationexact, added in 2022FAIRsharing: data citation5j. Formal recognition should make use of responsible metrics for tracking research data use and impact, such as data citations.
8r. Where institutions provide access to data (and, where possible, software) repositories, these repositories should enable datasets and related software to be citable, for example by providing them with a persistent identifier.
5j: near match; FAIRsharing provides a field to say whether or not a clear statement and guidance around data citations are present, but FAIRsharing does not describe formal recognition around data citation.
8r: exact
Two routes:
1. (8r) Discover the recommended institutional database record via the policy's relationships, and check that database record's relationships to identifier schema format records
2. (5j, 8r) If data citation == 'yes', the policy provides a clear expectation about data citation.
Data citation
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31Policy specifies use of researcher identifier (e.g., ORCID)exactrelationship to ORCID registry FAIRsharing record
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32Policy makes clear the minimum length of data availability beyond the life of the project (i.e., how long must the data be preserved)exact, added in 2022FAIRsharing: data preservation8s. Institutional policies should require that data underpinning publications should as default be retained for at least ten years in a citable form.
7o. Where institutions provide access to data repositories, these repositories should be able to guarantee the persistence of the datasets for a reasonable time period. See also item 26.
near match
In FAIRsharing, this value is 'yes' if the policy requires that selected data must be preserved for a set period of time. If the policy lacks clarity in relation to the preservation of selected data, or does not include such information at all, the value in this field is 'no'. Therefore a 'yes' value will not necessarily mean 10 years, but it does guarantee a set period of time, and therefore still useful here.
Data preservation == yes
Discover the recommended institutional database record via the policy's relationships, and check that database record's data preservation policy field.
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33Support Justified costs associated with RDM and making data FAIR are supportedexact, added in 2022FAIRsharing: supported costs3e. Institutions should acknowledge that infrastructure, training, staff support, and progress reviews for open and FAIR research have significant costs and they should have procedures in place to ensure funding of costs within the dual support system.exactSupported costs == yesFunder policies only.
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35Guidance, training and/or support are provided to support compliance exact, added in 2022FAIRsharing: Compliance guidance5h. Institutions should provide support (such as training, guidance, advice and policies) on legal, ethical, and professional frameworks of research integrity as related to issues of open data. This support should cover both appropriate citation and acknowledgement of others’ work, and provision of a preferred citation for underlying data and other relevant outputs including research software.near match
Compliance guidance in FAIRsharing is specifically about support for compliance with the data policy, which may be inferred to fit into 5h, 6n or 6l.
Compliance guidance == yesResearcher/author support
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35Policy compliance is monitoredexact, added in 2022FAIRsharing: compliance monitoring10w. Institutions should undertake regular reviews to monitor their progress in implementing their responsibilities under the Concordat, register issues to be addressed, and identify and share best practice.exactCompliance monitoring == yes
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36Compliance is rewarded not in initial mappingn/a9v. Institutions should support data science through skills development and career pathways.
5i. Institutional policies should recognise contributions to shared/open datasets in academic appointment, promotion, research assessment and research funding decisions.
not in initial mappingShould be considered for inclusion within FAIRsharing.
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9u9u. Institutions should provide researcher training opportunities in an organised and professional manner.not in scopeThis level of detail is not required in FAIRsharing at this stage.
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8t8t. Institutions should provide guidance on relevant preservation policies and/or retention schedules.not in initial mappingThis level of detail is not required in FAIRsharing at this stage.
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6l6l. Institutions should provide guidance to researchers throughout the research process on the correct and relevant data management and storage methodologies for that research field.not in scopeThis level of detail is not required in FAIRsharing at this stage.
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1bInfrastructure1b. Institutions should provide appropriate access to infrastructure systems and services to enable their researchers to make research data open and usable.not in scopeThis level of detail is not required in FAIRsharing at this stage.
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6k6k. Institutions should provide access to the necessary infrastructure to enable researchers to manage their data effectively throughout the research process.not in scope
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6m6m. Institutions should support and make use of shared research infrastructure.not in scope
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2dAdditional Restrictions on Open Data2d. Institutional policies and guidance should acknowledge that on a case-by-case basis sharing be proportionate to the level of risk associated with the data.not in scope
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4g4g. Data management plans should address embargo requests.not in scopeWhile embargo periods are addressed in the 'exceptions to data sharing', and we do have fields relating to DMP development, we do not have a field covering that DMPs must address embargo requests.
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4f4f. Institutional research data policies must allow the possibility of an initial embargo period before data availability and reuse.not in scopeWhile embargo periods are addressed in the 'exceptions to data sharing', all FAIRsharing requires is that any embargo information is clearly and explicitly stated; we do not store whether or not such embargos are allowed.
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10xStrategy10x. Institutions should demonstrate a long-term commitment to open data.not in scope
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