The National Physical Laboratory (NPL) is the UK’s National Measurement Institute and an importan... more The National Physical Laboratory (NPL) is the UK’s National Measurement Institute and an important international authority on measurement. NPL facilitates reliable measurement in academic, industrial and commercial research. As data driven science is fast becoming the norm across all research sectors, the need for researchers with data science skills and access to appropriate research infrastructure is increasingly vital. Developing data science capabilities to support confident and intelligent data reuse is a key priority for NPL as outlined in the 2017 UK National Measurement Strategy. As demand for transparency in data driven research grows, the ability of NPL researchers to more precisely describe methods, metrics and quality will become crucial aspects of their work. Also, increasing use of data science in industry (including cloud computing, machine learning, and other capabilities) poses a number of related challenges to understanding data quality, reliability, and integrity....
The FAIRsFAIR project provides a general response to the RDA Data Repository Attributes WG Case S... more The FAIRsFAIR project provides a general response to the RDA Data Repository Attributes WG Case Statement and identifies alignment with ongoing FAIRsFAIR work. Also provided is an annotated version of the WG Case Statement that includes specific suggestions for rewording and minor feedback.
Forschungsförderer und politische Entscheidungsträger empfehlen ausdrücklich die Übernahme der FA... more Forschungsförderer und politische Entscheidungsträger empfehlen ausdrücklich die Übernahme der FAIR-Prinzipien für das Management wissenschaftlicher Daten. Mehrere Initiativen arbeiten an der Umsetzung der Prinzipien und standardisierten Anwendungen zur systematischen Evaluation der Daten-FAIRness. Dieser Beitrag stellt praktische Lösungen vor, d. h. im Rahmen des FAIRsFAIR-Projekts entwickelte Metriken und Werkzeuge, um die FAIR-Bewertung von Forschungsdatenobjekten in vertrauenswürdigen Datenrepositorien zu steuern. Die Metriken basieren hauptsächlich auf den von der RDA FAIR Data Maturity Model Working Group entwickelten Indikatoren. Design und Evaluation der Metriken und zugehörigen Werkzeuge erfolgten in Form eines iterativen Prozesses. Wir stellen zwei Anwendungen der Metriken vor, in Form eines aufklärungs-orientierten Selbstbewertungstools und eines automatisierten FAIR-Datenevaluierungstools. Es werden erste Ergebnisse von Tests der Tools mit Forschern und Datenrepositorien...
This presentation was held as part of the SSHOC DARIAH Train-the-trainer RDM Bootcamp held in Feb... more This presentation was held as part of the SSHOC DARIAH Train-the-trainer RDM Bootcamp held in February 2021 (see Zenodo community sshocdariahtrainerrdmbootcamp) This upload contains the slides of the session "Planning to meet the costs of managing research data to be FAIR". This session aims to offer training resources to adapt to your institutional context, helping researchers to do the following: Understand why they should budget for the costs of making data FAIR, and keeping it FAIR, and include these costs in grant applications Appreciate the benefits that services may provide to justify their costs Know about the different kinds of data management costs, including costs that funding bodies may allow to be charged to projects Apply a costing guide to help budget for the costs that may arise in preparing data to be FAIR Share experiences and expectations about costing the preparation of FAIR data
This milestone (M4.3) document updates the previous <em>CoreTrustSeal+FAIR Overview</em&... more This milestone (M4.3) document updates the previous <em>CoreTrustSeal+FAIR Overview</em> and the <em>Draft Maturity Model Based on Extensions and-or Additions to CoreTrustSeal Requirements</em> (M4.2). The latter document provides extensive context and references component documents that provide the foundation for this work. The authors would like to thank the CoreTrustSeal Board for their valuable feedback on a pre-publication version of this text including alignments and target capabilities. The authors acknowledge that while recommending that repositories adopt this approach, no formal adoption and integration into the CoreTrustSeal requirements or processes can take place outside the scheduled, periodic community review process. A publicly available version is open for comment at: https://docs.google.com/document/d/1pv3ogzJVn1JmVGzSXwjjyke7L2aQVsx11jIHfms_sQs/edit
This poster was presented Alt+Shift+Archive: Unpacking the past, present and future of digital ar... more This poster was presented Alt+Shift+Archive: Unpacking the past, present and future of digital archive - an online digital archiving symposium between September 20th-28th, 2021. The poster aims to show how data management planning tools like DMPonline can help facilitate a collaborative approach to data acquisition between Archivists and potential data depositors.
This is a joint effort presentation, presented by various work packages of the European FAIRsFAIR... more This is a joint effort presentation, presented by various work packages of the European FAIRsFAIR project. An overview of outputs is given, to show what is being done to facilitate repositories in the world of Open Science in becoming more FAIR-enabling. The goal of the session was to share some of the ongoing work of the FAIRsFAIR project to... ... improve the trustworthiness of repositories through CoreTrustSeal certification and FAIR alignment; ... improve the interoperability of repositories; ... increase data stewardship skills and capacity; and... ... assess FAIR data in trustworthy repositories.
This report is the sixth in a series of SPARC Europe and DCC analyses of national Open Science po... more This report is the sixth in a series of SPARC Europe and DCC analyses of national Open Science policies in Europe and covers the period between March 2020 and August 2020. This issue provides an update on activity across European Member States and relevant countries from the European Research Area. This issue includes a section on policy change related to Covid-19 and an overview of European Open Science Cloud (EOSC) policy-related activities among the European Commission supported INFRAEOSC 5b projects. To access previous versions of the analysis of Open Data and Open Science policies in Europe and other SPARC Europe reports related to Open Data please see https://sparceurope.org/what-we-do/open-data/sparc-europe-open-data-resources/.
How do we ensure a FAIR sustainable EOSC ecosystem? How can we ensure that the value we have crea... more How do we ensure a FAIR sustainable EOSC ecosystem? How can we ensure that the value we have created, built by, for and endorsed by the communities it serves remains valuable and alive? Who will ensure that the essential resources needed to feed these services and infrastructure are not depleted? For a healthy EOSC ecosystem to thrive, we need to understand the elements of that landscape, what resources are needed and how they can be maintained and developed over time. We can chart the costs of FAIR and map both current and new financial and business models to them. The EOSC Sustainability Working Group has grappled with these issues in the first EOSC Phase recently publishing the <strong>FAIR Lady Report</strong> in 2021. A vital responsibility of the newly formed EOSC Association will be to flesh out more details on how to sustain this EOSC international research infrastructure in the years ahead with its Taskforce on <em>Defining Funding Models for EOSC</em&g...
Supporting repositories towards becoming more trustworthy and FAIR-enabling is at the heart of th... more Supporting repositories towards becoming more trustworthy and FAIR-enabling is at the heart of the FAIRsFAIR project. This paper introduces the in-depth support programme created by FAIRsFAIR and shares the successes, common challenges and lessons learned. It details the support and guidance provided for repository managers as well as for CoreTrustSeal Reviewers. This work also provides recommendations for developing a support programme towards repository certification.
This document designs a coordinated set of actions for communicating FAIRsFAIR efficiently and to... more This document designs a coordinated set of actions for communicating FAIRsFAIR efficiently and to ensure coverage of stakeholders and adequate visibility of the project across Europe, sustaining the engagement figures and achieving the required levels of collaboration with INFRAEOSC-related initiatives.
As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - proj... more As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022. Landscaping activities have been a core activity during the initial stages of the FAIRsFAIR project and there has been close cooperation with colleagues in Work Package 3 carrying out the FAIR data policy and practice analyses; Work Package 2 on assessing FAIR requirements for interoperability and persistence; Work Package 6 on providing an overview of research communities' needs for competence centres; and Work Package 7 on mapping RDM policies and support as well as FAIR education offerings in European HEIs. In particular, efforts were made to avoid duplication of effort across the three open consultation and survey instruments developed to assess the current landscape and to define a consistent approach to...
As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - proj... more As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022. Policies are a crucial component in the FAIR ecosystem. To this end, FAIRsFAIR Work Package 3 (WP3): FAIR Data Policy and Practice carried out an analysis of the current data policy landscape at various levels (national, funder, publisher, institutional) to provide a snapshot of the situation in 2019 and to identify policy elements that support or hinder FAIR data practice. To provide a comparative baseline for reviewing the data policies of various stakeholders, the priority and supporting actions presented in the <em>Turning FAIR into Reality </em>(TFiR) action plan were employed. To assess how well the policies of different stakeholders currently reflect TFiR's action plan, we carried out desk ...
FAIRsFAIR's analysis of the data policy landscape in 2019 (D3.1 FAIR Policy Landscape Analysi... more FAIRsFAIR's analysis of the data policy landscape in 2019 (D3.1 FAIR Policy Landscape Analysis) has shown that the priority and supporting actions outlined in the Turning FAIR into Reality (TFiR) report are being reflected in the policies of funding bodies, publishers/journals and Research Performing Organisations (RPOs) to some extent. However, as crucial components in the FAIR ecosystem, there is still much that needs to be done to foster and harmonise policies to support the aims of the European Open Science Cloud and realise the vision of TFiR. Based on this initial landscape assessment and the work of related initiatives, FAIRsFAIR has prepared a series of practical recommendations for policy enhancement to support the realisation of a FAIR ecosystem. These recommendations are released as a living document that will be refined to reflect the forthcoming work of other projects funded under the INFRAEOSC-05-2018-2019 call and other relevant initiatives. This is the draft vers...
This paper is milestone 4.1 of the FAIRsFAIR task 4.1 (Capability Maturity models towards FAIR Ce... more This paper is milestone 4.1 of the FAIRsFAIR task 4.1 (Capability Maturity models towards FAIR Certification) within the FAIR Certification work package (WP4). This document presents the first iterative step in aligning the characteristics of FAIR digital objects with the repositories that 'enable' FAIRness, through the CoreTrustSeal Trustworthy Data Repository Requirements and the application of a capability/maturity evaluation approach.
This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness... more This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). Two new metrics representing the FAIR principle A1 have been added into the specification. Metric descriptions (e.g., related resources, comments) were refined based on feedback received from external users and pilot repositories.
This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform repo... more This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform repositories seeking to enable FAIR data. Further context is presented in the FAIRsFAIR project milestone: https://doi.org/10.5281/zenodo.4003598.
The National Physical Laboratory (NPL) is the UK’s National Measurement Institute and an importan... more The National Physical Laboratory (NPL) is the UK’s National Measurement Institute and an important international authority on measurement. NPL facilitates reliable measurement in academic, industrial and commercial research. As data driven science is fast becoming the norm across all research sectors, the need for researchers with data science skills and access to appropriate research infrastructure is increasingly vital. Developing data science capabilities to support confident and intelligent data reuse is a key priority for NPL as outlined in the 2017 UK National Measurement Strategy. As demand for transparency in data driven research grows, the ability of NPL researchers to more precisely describe methods, metrics and quality will become crucial aspects of their work. Also, increasing use of data science in industry (including cloud computing, machine learning, and other capabilities) poses a number of related challenges to understanding data quality, reliability, and integrity....
The FAIRsFAIR project provides a general response to the RDA Data Repository Attributes WG Case S... more The FAIRsFAIR project provides a general response to the RDA Data Repository Attributes WG Case Statement and identifies alignment with ongoing FAIRsFAIR work. Also provided is an annotated version of the WG Case Statement that includes specific suggestions for rewording and minor feedback.
Forschungsförderer und politische Entscheidungsträger empfehlen ausdrücklich die Übernahme der FA... more Forschungsförderer und politische Entscheidungsträger empfehlen ausdrücklich die Übernahme der FAIR-Prinzipien für das Management wissenschaftlicher Daten. Mehrere Initiativen arbeiten an der Umsetzung der Prinzipien und standardisierten Anwendungen zur systematischen Evaluation der Daten-FAIRness. Dieser Beitrag stellt praktische Lösungen vor, d. h. im Rahmen des FAIRsFAIR-Projekts entwickelte Metriken und Werkzeuge, um die FAIR-Bewertung von Forschungsdatenobjekten in vertrauenswürdigen Datenrepositorien zu steuern. Die Metriken basieren hauptsächlich auf den von der RDA FAIR Data Maturity Model Working Group entwickelten Indikatoren. Design und Evaluation der Metriken und zugehörigen Werkzeuge erfolgten in Form eines iterativen Prozesses. Wir stellen zwei Anwendungen der Metriken vor, in Form eines aufklärungs-orientierten Selbstbewertungstools und eines automatisierten FAIR-Datenevaluierungstools. Es werden erste Ergebnisse von Tests der Tools mit Forschern und Datenrepositorien...
This presentation was held as part of the SSHOC DARIAH Train-the-trainer RDM Bootcamp held in Feb... more This presentation was held as part of the SSHOC DARIAH Train-the-trainer RDM Bootcamp held in February 2021 (see Zenodo community sshocdariahtrainerrdmbootcamp) This upload contains the slides of the session "Planning to meet the costs of managing research data to be FAIR". This session aims to offer training resources to adapt to your institutional context, helping researchers to do the following: Understand why they should budget for the costs of making data FAIR, and keeping it FAIR, and include these costs in grant applications Appreciate the benefits that services may provide to justify their costs Know about the different kinds of data management costs, including costs that funding bodies may allow to be charged to projects Apply a costing guide to help budget for the costs that may arise in preparing data to be FAIR Share experiences and expectations about costing the preparation of FAIR data
This milestone (M4.3) document updates the previous <em>CoreTrustSeal+FAIR Overview</em&... more This milestone (M4.3) document updates the previous <em>CoreTrustSeal+FAIR Overview</em> and the <em>Draft Maturity Model Based on Extensions and-or Additions to CoreTrustSeal Requirements</em> (M4.2). The latter document provides extensive context and references component documents that provide the foundation for this work. The authors would like to thank the CoreTrustSeal Board for their valuable feedback on a pre-publication version of this text including alignments and target capabilities. The authors acknowledge that while recommending that repositories adopt this approach, no formal adoption and integration into the CoreTrustSeal requirements or processes can take place outside the scheduled, periodic community review process. A publicly available version is open for comment at: https://docs.google.com/document/d/1pv3ogzJVn1JmVGzSXwjjyke7L2aQVsx11jIHfms_sQs/edit
This poster was presented Alt+Shift+Archive: Unpacking the past, present and future of digital ar... more This poster was presented Alt+Shift+Archive: Unpacking the past, present and future of digital archive - an online digital archiving symposium between September 20th-28th, 2021. The poster aims to show how data management planning tools like DMPonline can help facilitate a collaborative approach to data acquisition between Archivists and potential data depositors.
This is a joint effort presentation, presented by various work packages of the European FAIRsFAIR... more This is a joint effort presentation, presented by various work packages of the European FAIRsFAIR project. An overview of outputs is given, to show what is being done to facilitate repositories in the world of Open Science in becoming more FAIR-enabling. The goal of the session was to share some of the ongoing work of the FAIRsFAIR project to... ... improve the trustworthiness of repositories through CoreTrustSeal certification and FAIR alignment; ... improve the interoperability of repositories; ... increase data stewardship skills and capacity; and... ... assess FAIR data in trustworthy repositories.
This report is the sixth in a series of SPARC Europe and DCC analyses of national Open Science po... more This report is the sixth in a series of SPARC Europe and DCC analyses of national Open Science policies in Europe and covers the period between March 2020 and August 2020. This issue provides an update on activity across European Member States and relevant countries from the European Research Area. This issue includes a section on policy change related to Covid-19 and an overview of European Open Science Cloud (EOSC) policy-related activities among the European Commission supported INFRAEOSC 5b projects. To access previous versions of the analysis of Open Data and Open Science policies in Europe and other SPARC Europe reports related to Open Data please see https://sparceurope.org/what-we-do/open-data/sparc-europe-open-data-resources/.
How do we ensure a FAIR sustainable EOSC ecosystem? How can we ensure that the value we have crea... more How do we ensure a FAIR sustainable EOSC ecosystem? How can we ensure that the value we have created, built by, for and endorsed by the communities it serves remains valuable and alive? Who will ensure that the essential resources needed to feed these services and infrastructure are not depleted? For a healthy EOSC ecosystem to thrive, we need to understand the elements of that landscape, what resources are needed and how they can be maintained and developed over time. We can chart the costs of FAIR and map both current and new financial and business models to them. The EOSC Sustainability Working Group has grappled with these issues in the first EOSC Phase recently publishing the <strong>FAIR Lady Report</strong> in 2021. A vital responsibility of the newly formed EOSC Association will be to flesh out more details on how to sustain this EOSC international research infrastructure in the years ahead with its Taskforce on <em>Defining Funding Models for EOSC</em&g...
Supporting repositories towards becoming more trustworthy and FAIR-enabling is at the heart of th... more Supporting repositories towards becoming more trustworthy and FAIR-enabling is at the heart of the FAIRsFAIR project. This paper introduces the in-depth support programme created by FAIRsFAIR and shares the successes, common challenges and lessons learned. It details the support and guidance provided for repository managers as well as for CoreTrustSeal Reviewers. This work also provides recommendations for developing a support programme towards repository certification.
This document designs a coordinated set of actions for communicating FAIRsFAIR efficiently and to... more This document designs a coordinated set of actions for communicating FAIRsFAIR efficiently and to ensure coverage of stakeholders and adequate visibility of the project across Europe, sustaining the engagement figures and achieving the required levels of collaboration with INFRAEOSC-related initiatives.
As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - proj... more As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022. Landscaping activities have been a core activity during the initial stages of the FAIRsFAIR project and there has been close cooperation with colleagues in Work Package 3 carrying out the FAIR data policy and practice analyses; Work Package 2 on assessing FAIR requirements for interoperability and persistence; Work Package 6 on providing an overview of research communities' needs for competence centres; and Work Package 7 on mapping RDM policies and support as well as FAIR education offerings in European HEIs. In particular, efforts were made to avoid duplication of effort across the three open consultation and survey instruments developed to assess the current landscape and to define a consistent approach to...
As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - proj... more As part of the EOSC project family the FAIRsFAIR - Fostering Fair Data Practices in Europe - project aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. The FAIRsFAIR project runs from March 2019-February 2022. Policies are a crucial component in the FAIR ecosystem. To this end, FAIRsFAIR Work Package 3 (WP3): FAIR Data Policy and Practice carried out an analysis of the current data policy landscape at various levels (national, funder, publisher, institutional) to provide a snapshot of the situation in 2019 and to identify policy elements that support or hinder FAIR data practice. To provide a comparative baseline for reviewing the data policies of various stakeholders, the priority and supporting actions presented in the <em>Turning FAIR into Reality </em>(TFiR) action plan were employed. To assess how well the policies of different stakeholders currently reflect TFiR's action plan, we carried out desk ...
FAIRsFAIR's analysis of the data policy landscape in 2019 (D3.1 FAIR Policy Landscape Analysi... more FAIRsFAIR's analysis of the data policy landscape in 2019 (D3.1 FAIR Policy Landscape Analysis) has shown that the priority and supporting actions outlined in the Turning FAIR into Reality (TFiR) report are being reflected in the policies of funding bodies, publishers/journals and Research Performing Organisations (RPOs) to some extent. However, as crucial components in the FAIR ecosystem, there is still much that needs to be done to foster and harmonise policies to support the aims of the European Open Science Cloud and realise the vision of TFiR. Based on this initial landscape assessment and the work of related initiatives, FAIRsFAIR has prepared a series of practical recommendations for policy enhancement to support the realisation of a FAIR ecosystem. These recommendations are released as a living document that will be refined to reflect the forthcoming work of other projects funded under the INFRAEOSC-05-2018-2019 call and other relevant initiatives. This is the draft vers...
This paper is milestone 4.1 of the FAIRsFAIR task 4.1 (Capability Maturity models towards FAIR Ce... more This paper is milestone 4.1 of the FAIRsFAIR task 4.1 (Capability Maturity models towards FAIR Certification) within the FAIR Certification work package (WP4). This document presents the first iterative step in aligning the characteristics of FAIR digital objects with the repositories that 'enable' FAIRness, through the CoreTrustSeal Trustworthy Data Repository Requirements and the application of a capability/maturity evaluation approach.
This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness... more This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). Two new metrics representing the FAIR principle A1 have been added into the specification. Metric descriptions (e.g., related resources, comments) were refined based on feedback received from external users and pilot repositories.
This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform repo... more This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform repositories seeking to enable FAIR data. Further context is presented in the FAIRsFAIR project milestone: https://doi.org/10.5281/zenodo.4003598.
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Papers by Joy Davidson