Understanding Sustainability and FAIRness of Research Software
Resumo
The increasing use of research software has urged the scientific community to discuss its sustainability, FAIRness, and ability to support the reproduction of studies by independent researchers. In this paper, we present the results of an exploratory study conducted with a research group in Applied Physics, whose researchers historically developed most of their research software. We analyzed the sustainability and FAIRness of one research software developed by the group and reported the results. Our study allowed us to broaden our understanding of evaluating sustainability and FAIRness, and related challenges, to support future evaluations of research software.
Palavras-chave:
Research software, Sustainability, FAIRness, Assessment model
Referências
J.C. Carver, N. Weber, K. Ram, S. Gesing, and D.S. Katz. 2022. A survey of the state of the practice for research software in the United States. PeerJ Comput. Science (2022). https://doi.org/10.7717/peerj-cs.963
N.P. Chue Hong, D.S. Katz, M. Barker, A. Lamprecht, C. Martinez, F.E. Psomopoulos, J. Harrow, L.J. Castro, M. Gruenpeter, P.A. Martinez, and others. 2021. FAIR principles for research software (FAIR4RS principles). Technical Report. ReSA. https://doi.org/10.15497/RDA00065
Anna-Lena Lamprecht et al. 2020. Towards FAIR Principles for Research Software. Data Science 3, 1 (2020), 37–59.
Thaise Graziele Lima de Oliveira Toutain. 2019. Avaliação da estabilidade cerebral e conexões intra e inter-hemisféricas na modulação afetiva da dor. Master’s thesis. Universidade Federal da Bahia, (PPGPIOS), Brasil.
C. Venters, S. Akinli kocak, S. Betz, I. Brooks, R. Capilla, R. Chitchyan, L. Duboc, R. Heldal, A. Moreira, S. Oyedeji, B. Penzenstadler, and J. Porras. 2021. Software Sustainability: Beyond the Tower of Babel. https://doi.org/10.6084/m9.figshare.14370611.v1
Mark D. Wilkinson et al . 2016. The FAIR Guiding Principles for Scientific Data Management and Stewardship. Scientific Data 3 (2016), 160018. https://doi.org/10.1038/sdata.2016.18
G. Wilson, J. Bryan, K. Cranston, J. Kitzes, L. Nederbragt, and T.K. Teal. 2017. Good enough practices in scientific computing. PLOS Computational Biology 13, 6 (06 2017), 1–20. https://doi.org/10.1371/journal.pcbi.1005510
N.P. Chue Hong, D.S. Katz, M. Barker, A. Lamprecht, C. Martinez, F.E. Psomopoulos, J. Harrow, L.J. Castro, M. Gruenpeter, P.A. Martinez, and others. 2021. FAIR principles for research software (FAIR4RS principles). Technical Report. ReSA. https://doi.org/10.15497/RDA00065
Anna-Lena Lamprecht et al. 2020. Towards FAIR Principles for Research Software. Data Science 3, 1 (2020), 37–59.
Thaise Graziele Lima de Oliveira Toutain. 2019. Avaliação da estabilidade cerebral e conexões intra e inter-hemisféricas na modulação afetiva da dor. Master’s thesis. Universidade Federal da Bahia, (PPGPIOS), Brasil.
C. Venters, S. Akinli kocak, S. Betz, I. Brooks, R. Capilla, R. Chitchyan, L. Duboc, R. Heldal, A. Moreira, S. Oyedeji, B. Penzenstadler, and J. Porras. 2021. Software Sustainability: Beyond the Tower of Babel. https://doi.org/10.6084/m9.figshare.14370611.v1
Mark D. Wilkinson et al . 2016. The FAIR Guiding Principles for Scientific Data Management and Stewardship. Scientific Data 3 (2016), 160018. https://doi.org/10.1038/sdata.2016.18
G. Wilson, J. Bryan, K. Cranston, J. Kitzes, L. Nederbragt, and T.K. Teal. 2017. Good enough practices in scientific computing. PLOS Computational Biology 13, 6 (06 2017), 1–20. https://doi.org/10.1371/journal.pcbi.1005510
Publicado
25/09/2023
Como Citar
FEITOSA, Daniela; VON FLACH, Christina; COSTA, Joenio.
Understanding Sustainability and FAIRness of Research Software. In: WORKSHOP DE PRÁTICAS DE CIÊNCIA ABERTA PARA ENGENHARIA DE SOFTWARE (OPENSCIENSE), 3. , 2023, Campo Grande/MS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 11-15.
DOI: https://doi.org/10.5753/opensciense.2023.235707.
