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Authors
# Name
1 Lucas Calmon(lucas.calmon@aluno.cefet-rj.br)
2 Marcus Junior(marcus.junior@aluno.cefet-rj.br)
3 Lucas Santos(lucas.santos.16@aluno.cefet-rj.br)
4 Fernando Alexandrino(fernando.alexandrino@ifsp.edu.br)
5 Rafaelli Coutinho(rafaelli.coutinho@cefet-rj.br)
6 Gustavo Guedes(gustavo.guedes@cefet-rj.br)
7 Diego Carvalho(d.carvalho@ieee.org)
8 Eduardo Ogasawara(eogasawara@ieee.org)

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Reference
# Reference
1 Bass, L., Clements, P., and Kazman, R. (2021). Software Architecture in Practice. Addison-Wesley Professional.
2 CRAN Repository Maintainers (2025). CRAN Repository Policy. Technical report, https://cran.r-project.org/web/packages/policies.html.
3 Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., and Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64:86 – 92.
4 Hugging Face (2026). Big data? Datasets to the rescue!
5 Kane, M. J., Emerson, J. W., Haverty, P., and Determan, C. (2025). bigmemory: Manage Massive Matrices with Shared Memory and Memory-Mapped Files. CRAN.
6 Lhoest, Q., del Moral, A. V., Jernite, Y., Thakur, A., von Platen, P., Patil, S., Chaumond, J., Drame, M., Plu, J., Tunstall, L., Davison, J., Šaško, M., et al. (2021). Datasets: A Community Library for Natural Language Processing. In EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 175 – 184.
7 Ogasawara, E., Alexandrino, F., Gea, C., Santos, D., Salles, R., Birindiba, V., Pacheco, C., Bezerra, E., Pacitti, E., Porto, F., and Carvalho, D. (2025). A Benchmark Time Series Dataset Collection for Prediction Models.
8 Peng, R. D. (2011). Reproducible research in computational science. Science, 334:1226 – 1227.
9 Perry, D. E. and Wolf, A. L. (1992). Foundations for the study of software architecture. SIGSOFT Softw. Eng. Notes, 17:40–52.
10 Pushkarna, M., Zaldivar, A., and Kjartansson, O. (2022). Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI. In ACM International Conference Proceeding Series, FAccT ’22, pages 1776 – 1826, New York, NY, USA. Association for Computing Machinery.
11 PyPI Docs (2026). Storage Limits. Technical report, https://docs.pypi.org/projectmanagement/storage-limits/.
12 Salles, R., Pacitti, E., Bezerra, E., Marques, C., Pacheco, C., Oliveira, C., Porto, F., and Ogasawara, E. (2023). TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14160 LNCS:41 – 55.
13 Sandve, G. K., Nekrutenko, A., Taylor, J., and Hovig, E. (2013). Ten Simple Rules for Reproducible Computational Research. PLoS Computational Biology, 9.
14 Vanschoren, J., van Rijn, J. N., Bischl, B., and Torgo, L. (2014). OpenML: networked science in machine learning. SIGKDD Explor. Newsl., 15:49–60.
15 Wickham, H. and Bryan, J. (2023). R Packages: Organize, Test, Document, and Share Your Code. "O’Reilly Media, Inc.".
16 Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., et al. (2016). Comment: The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3.