Linked Data on theWeb and its Relationship with Distributed Ledgers (LDOW/LDDL)
| Autor: | Tim Berners-Lee, John Domingue, Maria-Esther Vidal, Maribel Acosta, Stefan Dietze, Krzysztof Janowicz, Luis-Daniel Ibáñez, Anastasia Dimou, Amrapali Zaveri |
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| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
Computer science business.industry Best practice Data management 05 social sciences Interoperability Linked data Data science Field (computer science) 03 medical and health sciences Open data Fair trade Open research 0509 other social sciences 050904 information & library sciences business 030304 developmental biology |
| Zdroj: | Companion Proceedings of The 2019 World Wide Web Conference. |
| DOI: | 10.1145/3308560.3317072 |
| Popis: | Decentralised data solutions bring their own sets of capabilities, requirements and issues not necessarily present in centralised solutions. In order to compare the properties of different approaches or tools for management of decentralised data, it is important to have a common evaluation framework. We present a set of dimensions relevant to data management in decentralised contexts and use them to define principles extending the FAIR framework, initially developed for open research data. By characterising a range of different data solutions or approaches by how TRusted, Autonomous, Distributed and dEcentralised, in addition to how Findable, Accessible, Interoperable and Reusable, they are, we show that our FAIR TRADE framework is useful for describing and evaluating the management of decentralised data solutions, and aim to contribute to the development of best practice in a developing field. |
| Databáze: | OpenAIRE |
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