The OpenScienceLink architecture for novel services exploiting open access data in the biomedical domain

Karanastasis, Efstathios; Andronikou, Vassiliki; Chondrogiannis, Efthymios; Tsatsaronis, George; Eisinger, Daniel; Petrova, Alina

doi:10.1145/2645791.2645811

Cited by 3 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Open data is an example. Recent papers in the literature have presented the importance of open data in different contexts [Cordasco et al 2018, Santos et al 2018, Karanastasis et al 2014]. The framework described in this article considers two subareas, Open Data and Open Reproducible Research.…”

Section: Theoretical Conceptsmentioning

confidence: 99%

“…Different subareas are related to OS [Medicine and others 2018], such as, open data, which has received increasing attention from the scientific community 3 . Recent works have demonstrated different actions related to the production, manipulation and availability of open data [Cordasco et al 2018, Santos et al 2018, Karanastasis et al 2014, especially those related to FAIR data principles 4 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards an Open Science-Based Framework for Software Engineering Controlled (Quasi-)Experiments

Cordeiro¹,

OliveiraJr²,

Capretz³

2022

Anais Do XVI Brazilian E-Science Workshop (BRESCI 2022)

View full text Add to dashboard Cite

Experimental Software Engineering has straightforwardly evolved in the last decades due to the effort of the community in providing consolidated training, teaching and practice. Particularly, for controlled experiments and quasi-experiments, the software engineering community has discussed on the lack of reproducibility and the missing of experimental artifacts sharing policies, such as, dataset, baselines, metamodels, repositories, and scripts. These are, therefore, important issues that jeopardizes controlled experimentation to evolve as rigorous as in millennial sciences as Medicine and Physics. In this ongoing work, it is presented a proposal of a conceptual framework for software engineering controlled experiments and quasi-experiments based on the main principles and practices of Open Science. It is understood that Open Science is one of the pillars to the evolution of science, consequently, to software engineering. The FAIR data, metadata, repositories, curation and provenance are some of the main practices discussed in this paper. Ongoing activities are described, in terms of how they are being performed and their relationship with prospective ones.

show abstract

Section: Theoretical Conceptsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%