The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also used as an adjective for other (digital) matters, such as FAIR data stewardship, FAIR data infrastructure and FAIR data services. Moreover, in the context of Open Science and scientific integrity, more and more Dutch universities and research organizations discuss a FAIR organization as an important goal, thus implementing RDM practices and support with the FAIR principles as a main driver.

Triggered by this use of the acronym FAIR for organizations, an LCRDM (National Coordination Point Research Data Management) task group explored the definition, characteristics and principles of a so-called ‘FAIR enabling organization’. The task group delivered two products: (1) a definition for a FAIR enabling organization and (2) a self-assessment tool to evaluate the FAIR-ness of a research organization (research institute, university or university of applied sciences).

This self-assessment tool is a simple instrument, presented in an editable PDF form. By answering the questions and evaluating the level (beginner, intermediate, or advanced) at which you assess the performance of your organization, you will be able to define the actual FAIR-ness. In addition you can define a Road Map to become a FAIR Enabling Research Organization using the information in de more advances level(s)

Coombs, S.

de Bruin, T.

de Jong, J.

Haslinger, I.

Huigen, F.

Jetten, M.

Koster, J.

Miedema, M.

Ringersma, J.

Slouwerhof, I.

van den Hoogen, H.

Verheul, I.

Öllers, S.

English

Taco de Bruin

Sarah Coombs

Jutta de Jong

Irene Haslinger

Henk van den Hoogen

Frans Huigen

Mijke Jetten

Jacko Koster

Margriet Miedema

Sjef Öllers

Inge Slouwerhof

Ingeborg Verheul

Jacquelijn Ringersma

ZENODO

Do I-PASS for FAIR. A self assessment tool to measure the FAIR-ness of an organization

NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY

The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also used as an adjective for other (digital) matters, such as FAIR data stewardship, FAIR data infrastructure and FAIR data services. Moreover, in the context of Open Science and scientific integrity, more and more Dutch universities and research organizations discuss a FAIR organization as an important goal, thus implementing RDM practices and support with the FAIR principles as a main driver.Triggered by this use of the acronym FAIR for organizations, an LCRDM (National Coordination Point Research Data Management) task group explored the definition, characteristics and principles of a so-called ‘FAIR enabling organization’. The task group delivered two products: (1) a definition for a FAIR enabling organization and (2) a self-assessment tool to evaluate the FAIR-ness of a research organization (research institute, university or university of applied sciences).This self-assessment tool is a simple instrument, presented in an editable PDF form. By answering the questions and evaluating the level (beginner, intermediate, or advanced) at which you assess the performance of your organization, you will be able to define the actual FAIR-ness. In addition you can define a Road Map to become a FAIR Enabling Research Organization using the information in de more advances level(s)

International Migration, Integration and Social Cohesion online publications

UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl)UvA-DARE (Digital Academic Repository)Do I-Pass for FAIR?A self-assessment tool to measure the FAIR-ness of an organizationLCRDM Task group “FAIR Enabling Research Organization”; de Bruin, T.; Coombs, S.;Haslinger, I.; de Jong, J.; van den Hoogen, H.; Huigen, F.; Jetten, M.; Koster, J.; Miedema,M.; Öllers, S.; Slouwerhof, I.; Verheul, I.; Ringersma, J.DOI10.5281/zenodo.4080867Publication date2020Document VersionFinal published versionLicenseCC BYLink to publicationCitation for published version (APA):LCRDM Task group “FAIR Enabling Research Organization”, de Bruin, T., Coombs, S.,Haslinger, I., de Jong, J., van den Hoogen, H., Huigen, F., Jetten, M., Koster, J., Miedema,M., Öllers, S., Slouwerhof, I., Verheul, I., & Ringersma, J. (2020). Do I-Pass for FAIR? A self-assessment tool to measure the FAIR-ness of an organization. Landelijk CoördinatiepuntResearch Data Management. https://doi.org/10.5281/zenodo.4080867General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s)and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an opencontent license (like Creative Commons).Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, pleaselet the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the materialinaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letterto: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. Youwill be contacted as soon as possible.Download date:11 Nov 2022DO I-PASS FOR FAIR? A self-assessment tool to measure the FAIR-ness of an organization Product of the LCRDM Task group “FAIR Enabling Research Organization” Taco de Bruin (NIOZ), Sarah Coombs (Saxion Hogeschool), Irene Haslinger (TUD), Jutta de Jong (EMC), Henk van den Hoogen (UM), Frans Huigen (DANS), Mijke Jetten (DTL), Jacko Koster (LEI), Margriet Miedema (LCRDM), Sjef Öllers (TU/e), Inge Slouwerhof (RU), Ingeborg Verheul (UvA), Jacquelijn Ringersma (WUR)  October 2020 DOI: 10.5281/zenodo.4080867 The DO I-PASS FOR FAIR, self-assessment tool for organizationsThe 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also used as an adjective for other (digital) matters, such as FAIR data stewardship, FAIR data infrastructure and FAIR data services. Moreover, in the context of Open Science and scientific integrity, more and more Dutch universities and research organizations discuss a FAIR organization as an important goal, thus implementing RDM practices and support with the FAIR principles as a main driver. Triggered by this use of the acronym FAIR for organizations, an LCRDM (National Coordination Point Research Data Management) task group explored the definition, characteristics and principles of a so-called ‘FAIR enabling organization’. The task group delivered two products: (1) a definition for a FAIR enabling organization and (2) a self-assessment tool to evaluate the FAIR-ness of a research organization (research institute, university or university of applied sciences).  This self-assessment tool is a simple instrument, presented in this editable PDF form. By answering the questions and evaluating the level (beginner,  intermediate, or advanced) at which you assess the performance of your organization, you will be able to define the actual FAIR-ness. In addition you can define a Road Map to become a FAIR Enabling Research Organization using the information in de more advances level(s). The data support collectiveA FAIR Enabling Research Organization (FERO) is a research organization with a dedicated staff of data professionals and that has implemented policies on technical, infrastructural and organizational facilities and services to enable the researchers to create and publish FAIR data as a result of their research. Beginner Intermediate Advanced Score of our institute Comments/Actions Policy: Does your organization (institute / university (of applied sciences) ) have a FAIR research data policy? 1. Are the FAIR principlesexplicitly mentioned in the data(or research data) policy ofyour organization?The FAIR principles are not explicitly mentioned, but there is a reference to sustainable and long term storage. The F and A principle are explicitly mentioned. All FAIR principles are explicitly mentioned (or there is an explicit reference to the overarching Open Science concept). ☐ Beginner☐ Intermediate☐ Advanced2. Is the general research datapolicy translated intofaculty/institutes specific datapolicies?Less than 20% of the faculties or sub-units have a specific policy. 20-80% of the faculties or sub-units have a specific policy.More than 80% of the faculties or sub-units have a specific policy. ☐ Beginner☐ Intermediate☐ Advanced☐ Not applicable3. Is the general research datapolicy supported by dedicatedservice units (e.g. DCC) ?There are dedicated staff members responsible for the implementation of the services. There is a dedicated central organizational unit (either virtual or physical) to provide services needed to execute the policy. However some conditions like very large data sets, or FAIR vocabularies are still not fully covered in the services. We provide and/or facilitate all services for all aspect, also for domain specific interoperability standards and storing large data. ☐ Beginner☐ Intermediate☐ Advanced4. Which means and channels areused to communicate theresearch data policy andservices to the researchers?We have a website that contains all information, and in addition we have a central (online) helpdesk. On top of a website with all information and a central (online) helpdesk, we provide regular workshops, webinars and training events. On top of a website with all information, a central (online) helpdesk and regular workshops, webinars & training events, new researchers are informed of the data policy upon arrival. ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Services: Does your organization have a (virtual) DCC which provides services (including infrastructure) to allow researchers to comply with FAIR?5. Which services does yourorganization provide in orderfor researchers to comply withthe F principlesWe provide or refer to a service to deliver a PID for a data set We provide or refer to  service for PID and adding metadata (including reference to the dataset). On top of adding PIDs and metadata, we provide or refer to a service to make the data findable through indexed resources. ☐ Beginner☐ Intermediate☐ Advanced6. Which services does yourorganization provide in orderfor researchers to comply withthe A principles?We provide or refer to  a service with a standard and open communication protocol as to access the data. We provide or refer to  a service to enable restricted access to data and meta data (authentication protocol) Our organization as an archiving policy, both on data and meta data. ☐ Beginner☐ Intermediate☐ Advanced7. Which services does yourorganization provide in orderfor researchers to comply withthe A principles?We provide or refer to  a service that enriches the dataset metadata, referencing to other datasets and articles (I3). We provide or refer to  a service to attribute (meta)data that use a formal, accessible, shared, and broadly applicable language for knowledge representation. We provide or refer to  a service to attribute (meta)data that use vocabularies that follow FAIR principles in order to facilitate machine readability. ☐ Beginner☐ Intermediate☐ Advanced8. Which services you’re yourorganization provide in orderfor researchers to comply withthe R principles?We provide advice on licenses and provide or refer a service to add licenses in the metadata We monitor the reuse of our data, both within the institute as well as outside We perform quality control on the (meta)data, e.g. adequate read me file as to assure that somebody else can actually reuse the data. We assure that (meta)data meet domain-relevant community standards ☐ Beginner☐ Intermediate☐ Advanced☐ Not yet9. Which services does yourorganization offer on ResearchSoftware Management?We leave it to the researchers (i.e.: no service). We have research software engineers (i.e.: dedicated professionals employed). We distinguish between 'Software to be reused' and 'For reproduction'; we offer advice on licensing, and we archive in the appropriate repositories (e.g. GitHub, GitLab, Zenodo). ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Skills: Does your organization acknowledge that FAIR capacity building requires specific roles and skills?10. Does your organization have ajob description in place for thedifferent roles in datastewardship? If so, are theretraining standards and/orcertificate requirements inplace for data stewards?We are in the process of recognizing the different roles within Data stewardship We have functions and role descriptions. We know how many of each is needed. We provide ad hoc trainings for the Data stewardship staff at different levels. We have functions and descriptions, and we have a training program for the different levels of Data Stewards. ☐ Beginner☐ Intermediate☐ Advanced11. Does your organizationexplicitly finance data scienceand data stewardship roles?Budget is allocated for Data Stewardship (centrally) or Data Management support. Besides centrally allocated budget, Data Stewardship support research units of projects are budgeted locally (on faculty/research group level). Both central and local budget is allocated, and the organization invests in Data Science innovation (and similar subjects). ☐ Beginner☐ Intermediate☐ Advanced12. How many DataStewards/Managers/Research Supporters (strategic,generic, embedded, centrally)(but not RSE or data scientist)does your organization have inrelation to scientific staff1 fte in relation to 500 scientific staff, including PhD (or even less) 1 fte in relation to 100-500 fte scientific staff (including PhD) 1 fte in relation to scientific staff or even more 100 fte scientific staff (including PhD) ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Incentives: Does your organization have incentives for FAIR data?13. Is FAIR data recognized andrewarded by your organization?How (for instance with policy,services, behavior and/oradoption)?All institute employees must endorse the Code of Conduct for Scientific Integrity (e.g. through their employment contracts or appointment decisions). FAIR data is part of the HR-cycle, for example during performance reviews. Researchers are allocated time to make their data FAIR. In the recruitment and selection of new researchers, FAIR Data practice is one of the important criteria. ☐ Beginner☐ Intermediate☐ Advanced14. Does your organization offer ortake part in collaborations thatwork on new tools, services,expertise and othercomponents of the FAIR dataecosystem?We offer the basics in tools and expertise. We have pilots with new developments within the FAIR ecosystem. Implementing and innovating in tools/solutions within the FAIR ecosystem is inherent to our institute. ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Adoption: Adoption of FAIR 15. Does your organization includeFAIR data as a criterion in theinitial and continuousevaluation process?FAIR data is a criterion to evaluate our general policy and data policies of faculties/institutes FAIR data is a criterion in our HR-cycles, and of our data services (of the DCC) FAIR data is a criterion in evaluating HR, policies and (DCC) services ☐ Beginner☐ Intermediate☐ Advanced16. Does your organization includethe subject of research data inregular HR evaluations withresearch staff?Subject of research data not discussed HR Policy requires executives to monitor the adoption of research data management policies. Research data management is a regular element in the evaluation cycle. ☐ Beginner☐ Intermediate☐ Advanced17. Does your organization haveformal regular evaluations ofthe relevance and quality of allservices needed to support thedata policyIrregular (ad hoc), only in response to requests Simultaneous with the SEP or comparable equivalent (every 5-6 years)Every two years ☐ Beginner☐ Intermediate☐ Advanced18. How much of yourorganizations scientificpublications contain a DOI (orother PID) reference to the dataunderlying the publication overthe last publication year (now2019)?<20% of the publications contain references to the underlying data. 20-80% of the publicationscontain references to theunderlying data.>80% of the publicationscontain references to theunderlying data.☐ Beginner☐ Intermediate☐ Advanced19. Does your DCC know theamount of data, the number ofdatasets produced within yourorganization e.g. in the lastyear?no idea, but I think/assume we have an overview of less than 20 % we know at least half we have an almost complete overview ☐ Beginner☐ Intermediate☐ AdvancedOpen Questions 20. What are your organization’smost important barriers inbecoming FAIR enabling?21. What is your organization’slargest achievement, in whichyou take pride, in thedevelopment towards a FAIRenabling organization?22. Which actions will you take thecoming year in improving theFair Enabling Support withinyour DCC/organization?

Do I-Pass for FAIR?:A self-assessment tool to measure the FAIR-ness of an organization

UvA-DARE

UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl)UvA-DARE (Digital Academic Repository)Do I-Pass for FAIR?A self-assessment tool to measure the FAIR-ness of an organizationLCRDM Task group “FAIR Enabling Research Organization”; de Bruin, T.; Coombs, S.;Haslinger, I.; de Jong, J.; van den Hoogen, H.; Huigen, F.; Jetten, M.; Koster, J.; Miedema,M.; Öllers, S.; Slouwerhof, I.; Verheul, I.; Ringersma, J.DOI10.5281/zenodo.4080867Publication date2020Document VersionFinal published versionLicenseCC BYLink to publicationCitation for published version (APA):LCRDM Task group “FAIR Enabling Research Organization”, de Bruin, T., Coombs, S.,Haslinger, I., de Jong, J., van den Hoogen, H., Huigen, F., Jetten, M., Koster, J., Miedema,M., Öllers, S., Slouwerhof, I., Verheul, I., & Ringersma, J. (2020). Do I-Pass for FAIR? A self-assessment tool to measure the FAIR-ness of an organization. Landelijk CoördinatiepuntResearch Data Management. https://doi.org/10.5281/zenodo.4080867General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s)and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an opencontent license (like Creative Commons).Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, pleaselet the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the materialinaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letterto: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. Youwill be contacted as soon as possible.Download date:15 Apr 2023DO I-PASS FOR FAIR? A self-assessment tool to measure the FAIR-ness of an organization Product of the LCRDM Task group “FAIR Enabling Research Organization” Taco de Bruin (NIOZ), Sarah Coombs (Saxion Hogeschool), Irene Haslinger (TUD), Jutta de Jong (EMC), Henk van den Hoogen (UM), Frans Huigen (DANS), Mijke Jetten (DTL), Jacko Koster (LEI), Margriet Miedema (LCRDM), Sjef Öllers (TU/e), Inge Slouwerhof (RU), Ingeborg Verheul (UvA), Jacquelijn Ringersma (WUR)  October 2020 DOI: 10.5281/zenodo.4080867 The DO I-PASS FOR FAIR, self-assessment tool for organizationsThe 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also used as an adjective for other (digital) matters, such as FAIR data stewardship, FAIR data infrastructure and FAIR data services. Moreover, in the context of Open Science and scientific integrity, more and more Dutch universities and research organizations discuss a FAIR organization as an important goal, thus implementing RDM practices and support with the FAIR principles as a main driver. Triggered by this use of the acronym FAIR for organizations, an LCRDM (National Coordination Point Research Data Management) task group explored the definition, characteristics and principles of a so-called ‘FAIR enabling organization’. The task group delivered two products: (1) a definition for a FAIR enabling organization and (2) a self-assessment tool to evaluate the FAIR-ness of a research organization (research institute, university or university of applied sciences).  This self-assessment tool is a simple instrument, presented in this editable PDF form. By answering the questions and evaluating the level (beginner,  intermediate, or advanced) at which you assess the performance of your organization, you will be able to define the actual FAIR-ness. In addition you can define a Road Map to become a FAIR Enabling Research Organization using the information in de more advances level(s). The data support collectiveA FAIR Enabling Research Organization (FERO) is a research organization with a dedicated staff of data professionals and that has implemented policies on technical, infrastructural and organizational facilities and services to enable the researchers to create and publish FAIR data as a result of their research. Beginner Intermediate Advanced Score of our institute Comments/Actions Policy: Does your organization (institute / university (of applied sciences) ) have a FAIR research data policy? 1. Are the FAIR principlesexplicitly mentioned in the data(or research data) policy ofyour organization?The FAIR principles are not explicitly mentioned, but there is a reference to sustainable and long term storage. The F and A principle are explicitly mentioned. All FAIR principles are explicitly mentioned (or there is an explicit reference to the overarching Open Science concept). ☐ Beginner☐ Intermediate☐ Advanced2. Is the general research datapolicy translated intofaculty/institutes specific datapolicies?Less than 20% of the faculties or sub-units have a specific policy. 20-80% of the faculties or sub-units have a specific policy.More than 80% of the faculties or sub-units have a specific policy. ☐ Beginner☐ Intermediate☐ Advanced☐ Not applicable3. Is the general research datapolicy supported by dedicatedservice units (e.g. DCC) ?There are dedicated staff members responsible for the implementation of the services. There is a dedicated central organizational unit (either virtual or physical) to provide services needed to execute the policy. However some conditions like very large data sets, or FAIR vocabularies are still not fully covered in the services. We provide and/or facilitate all services for all aspect, also for domain specific interoperability standards and storing large data. ☐ Beginner☐ Intermediate☐ Advanced4. Which means and channels areused to communicate theresearch data policy andservices to the researchers?We have a website that contains all information, and in addition we have a central (online) helpdesk. On top of a website with all information and a central (online) helpdesk, we provide regular workshops, webinars and training events. On top of a website with all information, a central (online) helpdesk and regular workshops, webinars & training events, new researchers are informed of the data policy upon arrival. ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Services: Does your organization have a (virtual) DCC which provides services (including infrastructure) to allow researchers to comply with FAIR?5. Which services does yourorganization provide in orderfor researchers to comply withthe F principlesWe provide or refer to a service to deliver a PID for a data set We provide or refer to  service for PID and adding metadata (including reference to the dataset). On top of adding PIDs and metadata, we provide or refer to a service to make the data findable through indexed resources. ☐ Beginner☐ Intermediate☐ Advanced6. Which services does yourorganization provide in orderfor researchers to comply withthe A principles?We provide or refer to  a service with a standard and open communication protocol as to access the data. We provide or refer to  a service to enable restricted access to data and meta data (authentication protocol) Our organization as an archiving policy, both on data and meta data. ☐ Beginner☐ Intermediate☐ Advanced7. Which services does yourorganization provide in orderfor researchers to comply withthe A principles?We provide or refer to  a service that enriches the dataset metadata, referencing to other datasets and articles (I3). We provide or refer to  a service to attribute (meta)data that use a formal, accessible, shared, and broadly applicable language for knowledge representation. We provide or refer to  a service to attribute (meta)data that use vocabularies that follow FAIR principles in order to facilitate machine readability. ☐ Beginner☐ Intermediate☐ Advanced8. Which services you’re yourorganization provide in orderfor researchers to comply withthe R principles?We provide advice on licenses and provide or refer a service to add licenses in the metadata We monitor the reuse of our data, both within the institute as well as outside We perform quality control on the (meta)data, e.g. adequate read me file as to assure that somebody else can actually reuse the data. We assure that (meta)data meet domain-relevant community standards ☐ Beginner☐ Intermediate☐ Advanced☐ Not yet9. Which services does yourorganization offer on ResearchSoftware Management?We leave it to the researchers (i.e.: no service). We have research software engineers (i.e.: dedicated professionals employed). We distinguish between 'Software to be reused' and 'For reproduction'; we offer advice on licensing, and we archive in the appropriate repositories (e.g. GitHub, GitLab, Zenodo). ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Skills: Does your organization acknowledge that FAIR capacity building requires specific roles and skills?10. Does your organization have ajob description in place for thedifferent roles in datastewardship? If so, are theretraining standards and/orcertificate requirements inplace for data stewards?We are in the process of recognizing the different roles within Data stewardship We have functions and role descriptions. We know how many of each is needed. We provide ad hoc trainings for the Data stewardship staff at different levels. We have functions and descriptions, and we have a training program for the different levels of Data Stewards. ☐ Beginner☐ Intermediate☐ Advanced11. Does your organizationexplicitly finance data scienceand data stewardship roles?Budget is allocated for Data Stewardship (centrally) or Data Management support. Besides centrally allocated budget, Data Stewardship support research units of projects are budgeted locally (on faculty/research group level). Both central and local budget is allocated, and the organization invests in Data Science innovation (and similar subjects). ☐ Beginner☐ Intermediate☐ Advanced12. How many DataStewards/Managers/Research Supporters (strategic,generic, embedded, centrally)(but not RSE or data scientist)does your organization have inrelation to scientific staff1 fte in relation to 500 scientific staff, including PhD (or even less) 1 fte in relation to 100-500 fte scientific staff (including PhD) 1 fte in relation to scientific staff or even more 100 fte scientific staff (including PhD) ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Incentives: Does your organization have incentives for FAIR data?13. Is FAIR data recognized andrewarded by your organization?How (for instance with policy,services, behavior and/oradoption)?All institute employees must endorse the Code of Conduct for Scientific Integrity (e.g. through their employment contracts or appointment decisions). FAIR data is part of the HR-cycle, for example during performance reviews. Researchers are allocated time to make their data FAIR. In the recruitment and selection of new researchers, FAIR Data practice is one of the important criteria. ☐ Beginner☐ Intermediate☐ Advanced14. Does your organization offer ortake part in collaborations thatwork on new tools, services,expertise and othercomponents of the FAIR dataecosystem?We offer the basics in tools and expertise. We have pilots with new developments within the FAIR ecosystem. Implementing and innovating in tools/solutions within the FAIR ecosystem is inherent to our institute. ☐ Beginner☐ Intermediate☐ AdvancedBeginner Intermediate Advanced Score of our institute Comments/Actions Adoption: Adoption of FAIR 15. Does your organization includeFAIR data as a criterion in theinitial and continuousevaluation process?FAIR data is a criterion to evaluate our general policy and data policies of faculties/institutes FAIR data is a criterion in our HR-cycles, and of our data services (of the DCC) FAIR data is a criterion in evaluating HR, policies and (DCC) services ☐ Beginner☐ Intermediate☐ Advanced16. Does your organization includethe subject of research data inregular HR evaluations withresearch staff?Subject of research data not discussed HR Policy requires executives to monitor the adoption of research data management policies. Research data management is a regular element in the evaluation cycle. ☐ Beginner☐ Intermediate☐ Advanced17. Does your organization haveformal regular evaluations ofthe relevance and quality of allservices needed to support thedata policyIrregular (ad hoc), only in response to requests Simultaneous with the SEP or comparable equivalent (every 5-6 years)Every two years ☐ Beginner☐ Intermediate☐ Advanced18. How much of yourorganizations scientificpublications contain a DOI (orother PID) reference to the dataunderlying the publication overthe last publication year (now2019)?<20% of the publications contain references to the underlying data. 20-80% of the publicationscontain references to theunderlying data.>80% of the publicationscontain references to theunderlying data.☐ Beginner☐ Intermediate☐ Advanced19. Does your DCC know theamount of data, the number ofdatasets produced within yourorganization e.g. in the lastyear?no idea, but I think/assume we have an overview of less than 20 % we know at least half we have an almost complete overview ☐ Beginner☐ Intermediate☐ AdvancedOpen Questions 20. What are your organization’smost important barriers inbecoming FAIR enabling?21. What is your organization’slargest achievement, in whichyou take pride, in thedevelopment towards a FAIRenabling organization?22. Which actions will you take thecoming year in improving theFair Enabling Support withinyour DCC/organization?

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Do I-Pass for FAIR?:A self-assessment tool to measure the FAIR-ness of an organization

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NEUROSURGERY ENTHUSIASTIC WOMEN SOCIETY

International Migration, Integration and Social Cohesion online publications

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International Migration, Integration and Social Cohesion online publications