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English Information

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Authors
# Name
1 Jéssica Monçôres de Almeida(jmoncores@id.uff.br)
2 Vanessa Braganholo (vanessa@ic.uff.br)
3 Daniel de Oliveira(danielcmo@ic.uff.br)

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Reference
# Reference
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2 Almeida, R., Silva, W. M. C. D., Castro, K., Araújo, A. P. F. D., Walter, M. E. M. T., Lifschitz, S., and Holanda, M. (2019). Managing data provenance for bioinformatics workflows using aprovbio. International Journal of Computational Biology and Drug Design, 12(2):153–170.
3 Anuyah, S., Bolade, V., and Agbaakin, O. (2024). Understanding graph databases: a comprehensive tutorial and survey. arXiv preprint arXiv:2411.09999.
4 Calabro, A., Daoudagh, S., Marchetti, E., Mayo, F., Marchiori, M., and Filipe, J. (2021). Mentors: Monitoring environment for system of systems. In WEBIST, pages 291–298.
5 Cavalcante, E., Batista, T., and Oquendo, F. (2024). Looking back and forward: A retrospective and future directions on software engineering for systems-of-systems. Journal of Software: Evolution and Process, 36(10):e2697.
6 Chreim, A., Yiwen, C., Smahi, A., Jiang, J., and Merzouki, R. (2024). Towards supervision of stochastic system of systems engineering: A multi-level hypergraph approach. IEEE Access.
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9 de Oliveira, W. M., de Oliveira, D., and Braganholo, V. (2018). Provenance analytics for workflow-based computational experiments: A survey. ACM Comput. Surv., 51(3):1–25.
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19 Kong, S., Lu, M., Li, L., and Gao, L. (2020). Runtime monitoring of software execution trace: Method and tools. IEEE Access, 8:114020–114036.
20 Kritzinger, L. M., Krismayer, T., Rabiser, R., and Grünbacher, P. (2019). A user study on the usefulness of visualization support for requirements monitoring. In Working Conference on Software Visualization (VISSOFT), pages 56–66. IEEE.
21 Lis, D. and Otto, B. (2020). Data governance in data ecosystems–insights from organizations. In Americas Conference on Information Systems (AMCIS).
22 Magagna, B., Goldfarb, D., Martin, P., Atkinson, M., Koulouzis, S., and Zhao, Z. (2020). Data provenance. In Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges, pages 208–225. Springer.
23 Maier, M.W. (1998). Architecting principles for systems-of-systems. Systems Engineering: The Journal of the International Council on Systems Engineering, 1(4):267–284.
24 Moreau, L. (2013). Provtoolbox. java library to create and convert w3c prov data model representations. https://lucmoreau.github.io/ProvToolbox/.
25 Moreau, L., Batlajery, B. V., Huynh, T. D., Michaelides, D., and Packer, H. (2017). A templating system to generate provenance. IEEE Transactions on Software Engineering, 44(2):103–121.
26 Moreau, L. and Lebo, T. (2013). Prov-links. https://www.w3.org/TR/2013/ NOTE-prov-links-20130430/.
27 Moreau, L. and Missier, P. (2013). PROV-DM: The PROV Data Model. World Wide Web Consortium, W3C.
28 Neo4j (2025). Neo4j graph database. https://neo4j.com/product/neo4j-graph-database. Accessado em 12 Mar. 2025.
29 Simmhan, Y. L., Plale, B., and Gannon, D. (2005). A survey of data provenance in e-science. SIGMOD Record, 34(3):31–36.
30 Singh, J., Cobbe, J., and Norval, C. (2019). Decision provenance: Harnessing data flow for accountable systems. ieee access 7 (2019), 6562–6574.
31 Vierhauser, M., Rabiser, R., Grünbacher, P., Seyerlehner, K., Wallner, S., and Zeisel, H. (2016). Reminds: A flexible runtime monitoring framework for systems of systems. Journal of Systems and Software, 112:123–136.
32 Wercelens, P., da Silva, W., Hondo, F., Castro, K., Walter, M. E., Araújo, A., Lifschitz, S., and Holanda, M. (2019). Bioinformatics workflows with nosql database in cloud computing. Evolutionary Bioinformatics, 15:1176934319889974.
33 Zhao, J., Miles, A., Klyne, G., and Shotton, D. (2009). Linked data and provenance in biological data webs. Briefings in bioinformatics, 10(2):139–152.