Establishing Core Concepts for Information-Powered Collaborations

Trani, Luca; Atkinson, Malcolm; Bailo, Daniele; Paciello, Rossana; Filgueira, Rosa

doi:10.1016/j.future.2018.07.005

Cited by 11 publications

(14 citation statements)

References 47 publications

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“…meaning that they can be mapped to CERIF (R1.3) and, in the other direction, can be produced from CERIF. In order to collect scientific metadata and data-related metadata from Thematic Communities, and ingest it into the CERIF based metadata catalog, the EPOS-DCAT-AP metadata model, an extension of DCAT-AP, with RDF/turtle serialization was used (Trani et al, 2018). The usage of such human understandable (but also machine readable), wide known, popular standard simplifies the process of TCS metadata provision.…”

Section: R13 Metadata Meet Domain-relevant Community Standardsmentioning

confidence: 99%

Perspectives on the Implementation of FAIR Principles in Solid Earth Research Infrastructures

et al. 2020

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FAIR principles have become reference criteria for promoting and evaluating openness of scientific data and for improving datasets Findability, Accessibility, Interoperability, and Reusability. This also applies to Research Infrastructures (RIs) in the solid Earth domain committed to provide access to seismological data, ground deformations inferred from terrestrial, and satellite observations, geological maps, and laboratory experiments. Such RIs have been indeed committed for a long time, well before the appearance of FAIR principles, to engage scientific communities involved in data collection, standardization, and quality control as well as in implementing metadata and services for qualification, storage and accessibility. By addressing open science and managing scientific data, they are working to adopt FAIR principles, thus having the onerous task of turning these principles into practices. In this work we argue that although FAIR principles have the merit of creating a common background of knowledge to engage communities in providing data in a standard way thus easing interoperability and data sharing, in order to make the adoption of FAIR principles less onerous there is an urgent need of clear models, reference architectures and technical guidelines which can support RI implementers in the realization of FAIR data provision systems. We therefore discuss the state of the art of FAIR principles ecosystem and open new perspectives by discussing a four-stages roadmap that reorganizes FAIR principles in a way that better fits to the approach of RI implementers, and a FAIR adoption process that relates FAIR principles to technologies for their implementation.

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Section: R13 Metadata Meet Domain-relevant Community Standardsmentioning

confidence: 99%

Perspectives on the Implementation of FAIR Principles in Solid Earth Research Infrastructures

et al. 2020

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“…Each expert has their own set of concepts. Collaboration depends on agreeing on sufficient common concepts and on how to interrelate those not fully aligned [4]. DARE supports a nested hierarchy of contexts for this purpose -see Fig.…”

Section: Clarifying Requirementsmentioning

confidence: 99%

“…4) free-form annotation attaches a sequence of annotations to an entry. They are used by developers and software 4 to explore and innovate in production contexts. Updates to the annotations are not recorded as "official" with a new timestamp and successor.…”

Section: A Dare Knowledge Base (Dkb)mentioning

confidence: 99%

“…The DCAT recommendation from W3C delivers an extensive precise vocabulary for integrating data catalogues [10], a dominant form of collections. Trani has demonstrated how this can be used in the EPOS context that includes our seismologists [19], using his methodology to engage communities in the maintenance of their core concepts [4].…”

Section: Related Workmentioning

confidence: 99%

“…DKB holds minimal information needed or created by users and platform 4. As structured and precise as needed, e.g., timestamped using the Web Annotation Vocabulary www.w3.org/TR/annotation-vocab…”

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confidence: 99%

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Comprehensible Control for Researchers and Developers Facing Data Challenges

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et al. 2019

2019 15th International Conference on eScience (eScience)

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The DARE platform enables researchers and their developers to exploit more capabilities to handle complexity and scale in data, computation and collaboration. Today's challenges pose increasing and urgent demands for this combination of capabilities. To meet technical, economic and governance constraints, application communities must use use shared digital infrastructure principally via virtualisation and mapping. This requires precise abstractions that retain their meaning while their implementations and infrastructures change. Giving specialists direct control over these capabilities with detail relevant to each discipline is necessary for adoption. Research agility, improved power and retained return on intellectual investment incentivise that adoption. We report on an architecture for establishing and sustaining the necessary optimised mappings and early evaluations of its feasibility with two application communities.

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Data Cataloguing

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Martens

et al. 2020

Lecture Notes in Computer Science

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After a brief reminder on general concepts used in data cataloguing activities, this chapter provides information concerning the architecture and design recommendations for the implementation of catalogue systems for the ENVRIplus community. The main objective of this catalogue is to offer a unified discovery service allowing cross-disciplinary search and access to data collections coming from Research Infrastructures (RIs). This catalogue focuses on metadata with a coarse level of granularity. It was decided to offer metadata representing different types of dataset series. Only metadata for so-called flagship products (as defined by each community) are covered by the scope of this catalogue. The data collections remain within each RI. For RIs, the aim is to improve the visibility of their results beyond their traditional user communities.

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Establishing Core Concepts for Information-Powered Collaborations

Cited by 11 publications

References 47 publications

Perspectives on the Implementation of FAIR Principles in Solid Earth Research Infrastructures

Perspectives on the Implementation of FAIR Principles in Solid Earth Research Infrastructures

Comprehensible Control for Researchers and Developers Facing Data Challenges

Data Cataloguing

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