7 research outputs found
Increasing the Reuse of Data through FAIR-enabling the Certification of Trustworthy Digital Repositories
The long-term preservation of digital objects, and the means by which they can be reused, are addressed by both the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable) and a number of standards bodies providing Trustworthy Digital Repository (TDR) certification, such as the CoreTrustSeal. Though many of the requirements listed in the Core Trustworthy Data Repositories Requirements 2020–2022 Extended Guidance address the FAIR Data Principles indirectly, there is currently no formal ‘FAIR Certification’ offered by the CoreTrustSeal or other TDR standards bodies. To address this gap the FAIRsFAIR project developed a number of tools and resources that facilitate the assessment of FAIR-enabling practices at the repository level as well as the FAIRness of datasets within them. These include the CoreTrustSeal+FAIRenabling Capability Maturity model (CTS+FAIR CapMat), a FAIR-Enabling Trustworthy Digital Repositories-Capability Maturity Self-Assessment template, and F-UJI , a web-based tool designed to assess the FAIRness of research data objects. The success of such tools and resources ultimately depends upon community uptake. This requires a community-wide commitment to develop best practices to increase the reuse of data and to reach consensus on what these practices are. One possible way of achieving community consensus would be through the creation of a network of FAIR-enabling TDRs, as proposed by FAIRsFAIR
D3.2 Cost Concept Model and Gateway Specification
This document introduces a Framework supporting the implementation of a cost concept model against which current and future cost models for curating digital assets can be benchmarked. The value built into this cost concept model leverages the comprehensive engagement by the 4C project with various user communities and builds upon our understanding of the requirements, drivers, obstacles and objectives that various stakeholder groups have relating to digital curation. Ultimately, this concept model should provide a critical input to the development and refinement of cost models as well as helping to ensure that the curation and preservation solutions and services that will inevitably arise from the commercial sector as ‘supply’ respond to a much better understood ‘demand’ for cost-effective and relevant tools. To meet acknowledged gaps in current provision, a nested model of curation which addresses both costs and benefits is provided. The goal of this task was not to create a single, functionally implementable cost modelling application; but rather to design a model based on common concepts and to develop a generic gateway specification that can be used by future model developers, service and solution providers, and by researchers in follow-up research and development projects.<p></p>
The Framework includes:<p></p>
• A Cost Concept Model—which defines the core concepts that should be included in curation costs models;<p></p>
• An Implementation Guide—for the cost concept model that provides guidance and proposes questions that should be considered when developing new cost models and refining existing cost models;<p></p>
• A Gateway Specification Template—which provides standard metadata for each of the core cost concepts and is intended for use by future model developers, model users, and service and solution providers to promote interoperability;<p></p>
• A Nested Model for Digital Curation—that visualises the core concepts, demonstrates how they interact and places them into context visually by linking them to A Cost and Benefit Model for Curation.<p></p>
This Framework provides guidance for data collection and associated calculations in an operational context but will also provide a critical foundation for more strategic thinking around curation such as the Economic Sustainability Reference Model (ESRM).<p></p>
Where appropriate, definitions of terms are provided, recommendations are made, and examples from existing models are used to illustrate the principles of the framework
Report on re3data COREF / CoreTrustSeal Workshop on Quality Management at Research Data Repositories
On October 5, 2022, the “Workshop on Quality Management at Research Data Repositories” – jointly organized by re3data COREF and CoreTrustSeal – was held online with more than 70 participants attending. The objective of the workshop was to discuss activities research data repositories perform to assure, assess, and improve data quality.The workshop started with input from the workshop organizers: re3data COREF presented results of a recent suvey on quality management at repositories, and CoreTrustSeal shared the perspective of a certification organization. Then, repositories from different disciplinary backgrounds presented their approaches to quality management. The workshop concluded with a breakout session and a plenary discussion on options for making information on data quality assurance more visible
Los principios TRUST en los repositorios digitales
Con la adopción cada vez más generalizada de las TICs en nuestra sociedad, dependemos cada vez más de los datos digitales y de los repositorios que brindan acceso a ese tipo de recursos y nos permiten utilizarlos.
Los repositorios deben ganarse la confianza de las comunidades a las que pretenden brindar servicios y demostrar que son confiables y capaces de administrar adecuadamente los datos que contienen.
Tras un debate público que se prolongó durante un año y en función del consenso actual de la comunidad, varias partes interesadas, que representan diversos segmentos de la comunidad de los repositorios digitales, han colaborado para desarrollar y avalar un conjunto de principios rectores, para demostrar que el repositorio digital es confiable. Estos principios abarcan la Transparencia, la Responsabilidad, el Foco en el Usuario, la Sostenibilidad y la Tecnología, y presentan un marco común para facilitar el debate y la implementación de las mejores prácticas en cuanto a preservación digital en beneficio de todas las partes interesadas.Este artículo es una traducción de: Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds, R., Giaretta, D., De Giusti, M., L’Hours, H., Hugo, W., Jenkyns, R., Khodiyar, V., Martone, M. E., Mokrane, M., Navale, V., Petters, J., Sierman, B., Sokolova, D. V., Stockhause, M., & Westbrook, J. (2020). The TRUST Principles for digital repositories. Scientific Data, 7(1), 144. https://doi.org/10.1038/s41597-020-0486-7Servicio de Difusión de la Creación Intelectua
Los principios TRUST en los repositorios digitales
Con la adopción cada vez más generalizada de las TICs en nuestra sociedad, dependemos cada vez más de los datos digitales y de los repositorios que brindan acceso a ese tipo de recursos y nos permiten utilizarlos.
Los repositorios deben ganarse la confianza de las comunidades a las que pretenden brindar servicios y demostrar que son confiables y capaces de administrar adecuadamente los datos que contienen.
Tras un debate público que se prolongó durante un año y en función del consenso actual de la comunidad, varias partes interesadas, que representan diversos segmentos de la comunidad de los repositorios digitales, han colaborado para desarrollar y avalar un conjunto de principios rectores, para demostrar que el repositorio digital es confiable. Estos principios abarcan la Transparencia, la Responsabilidad, el Foco en el Usuario, la Sostenibilidad y la Tecnología, y presentan un marco común para facilitar el debate y la implementación de las mejores prácticas en cuanto a preservación digital en beneficio de todas las partes interesadas.Este artículo es una traducción de: Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds, R., Giaretta, D., De Giusti, M., L’Hours, H., Hugo, W., Jenkyns, R., Khodiyar, V., Martone, M. E., Mokrane, M., Navale, V., Petters, J., Sierman, B., Sokolova, D. V., Stockhause, M., & Westbrook, J. (2020). The TRUST Principles for digital repositories. Scientific Data, 7(1), 144. https://doi.org/10.1038/s41597-020-0486-7Servicio de Difusión de la Creación Intelectua
Los principios TRUST en los repositorios digitales
Con la adopción cada vez más generalizada de las TICs en nuestra sociedad, dependemos cada vez más de los datos digitales y de los repositorios que brindan acceso a ese tipo de recursos y nos permiten utilizarlos.
Los repositorios deben ganarse la confianza de las comunidades a las que pretenden brindar servicios y demostrar que son confiables y capaces de administrar adecuadamente los datos que contienen.
Tras un debate público que se prolongó durante un año y en función del consenso actual de la comunidad, varias partes interesadas, que representan diversos segmentos de la comunidad de los repositorios digitales, han colaborado para desarrollar y avalar un conjunto de principios rectores, para demostrar que el repositorio digital es confiable. Estos principios abarcan la Transparencia, la Responsabilidad, el Foco en el Usuario, la Sostenibilidad y la Tecnología, y presentan un marco común para facilitar el debate y la implementación de las mejores prácticas en cuanto a preservación digital en beneficio de todas las partes interesadas.Este artículo es una traducción de: Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds, R., Giaretta, D., De Giusti, M., L’Hours, H., Hugo, W., Jenkyns, R., Khodiyar, V., Martone, M. E., Mokrane, M., Navale, V., Petters, J., Sierman, B., Sokolova, D. V., Stockhause, M., & Westbrook, J. (2020). The TRUST Principles for digital repositories. Scientific Data, 7(1), 144. https://doi.org/10.1038/s41597-020-0486-7Servicio de Difusión de la Creación Intelectua
New Perspectives on Economic Modeling for Digital Curation: Paper - iPRES 2014 - Melbourne
Society is increasingly dependent on the availability of digital
information assets however the resources that are available for
managing the assets over time (curating) are limited. As such, it is
increasingly vital that organizations are able to judge the
effectiveness of their investments into curation activities. For
those responsible for digital curation, it is an ongoing challenge to
ensure that the assets remain valuable in a sustainable manner.
Digital curation and preservation practices are still evolving and
they are not well aligned across different organizations and
different sectors. The lack of clear definitions and standardization
makes it difficult to compare the costs and benefits of multiple
curation processes, which again impedes identification of good
practice. This paper introduces a new perspective on modeling the
economics of curation. It describes a framework of interrelated
models that represent different aspects of the economic lifecycle
based around curation. The framework includes a sustainability
model, a cost and benefit model, a business model, and a cost
model. The framework provides a common vocabulary and
clarifies the roles and responsibilities of managers with a demand
for curation of digital assets and suppliers of curation services and
solutions. Further, the framework reflects the context in which
managers operate and how this context influences their decision-making. This should enable managers to think through different
scenarios around the economics of curation and to analyze the
impact of different decisions to support strategic planning. The
framework is intended to serve as a basis for developing tools to
help managers analyze the costs and benefits associated with
curation. The models are being developed and refined as part of
the EU project 4C “Collaboration to Clarify the Cost of Curation”,
which is bringing together and bridging existing knowledge,
models and tools to create a better understanding of the economics
of curation