Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00350114" target="_blank" >RIV/68407700:21240/20:00350114 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-65847-2_13" target="_blank" >https://doi.org/10.1007/978-3-030-65847-2_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-65847-2_13" target="_blank" >10.1007/978-3-030-65847-2_13</a>
Alternative languages
Result language
angličtina
Original language name
Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence
Original language description
Powerful incentives are driving the adoption of FAIR practices among a broad cross-section of stakeholders. This adoption process must factor in numerous considerations regarding the use of both domain-specific and infrastructural resources. These considerations must be made for each of the FAIR Guiding Principles and include supra-domain objectives such as the maximum reuse of existing resources (i.e., minimised reinvention of the wheel) or maximum interoperation with existing FAIR data and services. Despite the complexity of this task, it is likely that the majority of the decisions will be repeated across communities and that communities can expedite their own FAIR adoption process by judiciously reusing the implementation choices already made by others. To leverage these redundancies and accelerate convergence onto widespread reuse of FAIR implementations, we have developed the concept of FAIR Implementation Profile (FIP) that captures the comprehensive set of implementation choicesmade at the discretion of individual communities of practice. The collection of community-specific FIPs compose an online resource called the FIP Convergence Matrix which can be used to track the evolving landscape of FAIR implementations and inform optimisation around reuse and interoperation. Ready-made and well-tested FIPs created by trusted communities will find widespread reuse among other communities and could vastly accelerate decision making on well-informed implementations of the FAIR Principles within and particularly between domains.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ADVANCES IN CONCEPTUAL MODELING, ER 2020
ISBN
978-3-030-65846-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
138-147
Publisher name
Springer
Place of publication
Wien
Event location
Vídeň
Event date
Nov 3, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000604160100013