N.A. Skvortsov1

1 Federal Research Center «Computer Science and Control» of the RAS (Moscow, Russia)
1 nskv@mail.ru

Multiple research problems arise at the intersection of different domains through the interaction of representatives from various scientific groups and communities. Research infrastructures that support data-driven problem-solving should support domain-specific research communities, which form their own research environments with sets of resources relevant to the problems they address. Such resources should be accessible and ready for reuse both by researchers within the community and by representatives of other communities. Conceptual specifications define the domains of the communities. These specifications are used in descriptions pf community resources to ensure their correct application in problem-solving. This study proposes an organization of domain-specific research communities interconnected hierarchically. More specialized communities in the hierarchy are based on the specifications of generalized domains, while generalized communities can provide researchers with their own resources and open resources from specialized communities. Interaction between communities is facilitated through the specifications of more general communities. Resources can be used either directly or by analogy with their application in other communities.

Skvortsov N.A. Reuse of resources by hierarchical research communities. Highly Available Systems. 2025. V. 21. № 4. P. 28−41. DOI: https://doi.org/10.18127/j20729472-202504-03 (in Russian)

1. Wilkinson M. et al. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data. 2016. V. 3. 160018. https://doi.org/10.1038/sdata.2016.18
2. Goble C.A., Bhagat J., Aleksejevs S. et al. myExperiment: a repository and social network for the sharing of bioinformatics workflows. Nucleic Acids Research 38: W677 – W682, 2010.
3. Hull D., Wolstencroft K., Stevens R. et al. Taverna: a tool for building and running workflows of services. Nucleic Acids Research. 34, W729 – W732, 2006.
4. Sanchez S. et al. WF4Ever: Supporting for reuse and reproducibility in experimental science. EGI Technical Forum. 2012.
5. Soiland-Reyes S. et al. Packaging research artefacts with RO-Crate. Data Science. 2022. V. 5. № 2. https://doi.org/10.3233/DS-210053
6. Smedt K. De, Koureas D., Wittenburg P. FAIR digital objects for science: From data pieces to actionable knowledge units. Publications. 2020. V. 8. № 2. P. 21.
7. Harrow J. et al. ELIXIR: providing a sustainable infrastructure for life science data at European scale. Bioinformatics. 2021. V. 37. № 16. P. 2506–2511.
8. Earth Science Information Partners (ESIP). https://www.esipfed.org/ (07.07.2024).
9. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. Nucleic Acids Research. 2022. V. 50. № W1. P. W345–W351.
10. Thalheim B. Kinds of Models in Sciences, Engineering, and Daily Life. DAMDID 2023. https://www.youtube.com/watch?v=-ezPp1s3nuk&list=PLG7ZeBehNOwWN1B9xM7qTshSOfKJaB-hi&index=35
11. Skvortsov N., Stupnikov S. Managing Data-Intensive Research Problem-Solving Lifecycle. Data Analytics and Management in Data Intensive Domains (DAMDID 2020). CCIS. Springer. 2021. V. 1427. P. 3–18.
12. Borner K. et al. VIVO: A Semantic Portal for Scholarly Networking Across Disciplinary Boundaries. Springer Nature. 2012. DOI:10.1007/978-3-031-79435-3
13. DataCite Commons. https://commons.datacite.org
14. OpenAIRE Explore. https://explore.openaire.eu
15. B2FIND (EUDAT). https://b2find.eudat.eu
16. EOSC EU Node. https://open-science-cloud.ec.europa.eu/
17. Baru C. et al. Open Knowledge Network Roadmap: powering the next data revolution. National Science Foundation, 2022. https://opencommons.org/images/c/c6/OKN_Roadmap_-_Report_v03_%281%29.pdf
18. International Virtual Observatory Alliance. https://www.ivoa.net/
19. Skvortsov N.A., Stupnikov S.A. A semantic approach to workflow management and reuse for research problem solving. Data Intelligence. 2022. V. 4. Iss. 2. P. 439–454. MIT Press Journals, 2022. DOI: 10.1162/dint_a_00142
20. Skvorczov N.A. Publikaciya danny`x i svyazanny`x s nimi resursov v predmetny`x soobshhestvax. Sistemy` vy`sokoj dostupnosti. 2022. T. 18. № 4. S. 56−67. 2022. DOI: https://doi.org/ 10.18127/j20729472-202204-05 (in Russian).