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A FAIR problem-solving lifecycle architecture
| Author(s): | Skvortsov N. A. |
| Published: | CEUR Workshop Proceedings: 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021 (Moscow, 26-29 October 2021). – CEUR-WS, 2021. Vol. 3036. P. 79 – 93. |
| Abstract: | |
| Research infrastructures are intended to provide access to scientific
data and resources needed for problem-solving. Approaches to support interoperability and reuse of heterogeneous resources in such infrastructures need investigation. Researchers tend to integrate and reuse existing resources but do not
spend much effort to publish the resources created during solving scientific problems to make them reusable in communities. As the result, further users of these
results have to spend their time and effort on integrating resources to reuse them.
We propose an architecture of research infrastructures that are initially based on
the lifecycle of problem-solving in research communities providing interoperability and reuse of the sources and previous research results. In this architecture,
most of the data maintenance tasks are moved from the data integration stage to
the data publishing stage, and data are manipulated following the domain specifications accepted by communities. This makes providing the interoperability and
reuse of resources in the infrastructure more competent and easy and avoids repeated integration. |
| Download: |
[ http://ceur-ws.org/Vol-3036/paper06.pdf ]
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