Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

This study assesses the extent and nature of open access scholarly publishing in Brazil, one of the world's leaders in providing universal access to its research and scholarship. It utilizes Brazil's Qualis journal evaluation system, along with other relevant data bases to address the association between scholarly quality and open access in the…

In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…