Background:* Sharing data is a tenet of science, yet commonplace in only a few
subdisciplines. Recognizing that a data sharing culture is unlikely to be achieved without …

To facilitate sharing of Omics data, many groups of scientists have been working to establish
the relevant data standards. The main components of data sharing standards are …

Objectives Natural language processing (NLP) applications typically use regular
expressions that have been developed manually by human experts. Our goal is to automate …

Neuroimaging methods such as magnetic resonance imaging (MRI) involve complex data
collection and analysis protocols, which necessitate the establishment of good research …

Objective The centrality of data to biomedical research is difficult to understate, and the
same is true for the importance of the biomedical literature in disseminating empirical …

High-throughput sequencing technology, also called next-generation sequencing (NGS),
has the potential to revolutionize the whole process of genome sequencing, transcriptomics …

Objective To quantify data sharing trends and data sharing policy compliance at the British
Medical Journal (BMJ) by analysing the rate of data sharing practices, and investigate …

Conclusions of research articles depend on bodies of data that cannot be included in
articles themselves. To share this data is important for reasons of both transparency and …

It is a growing trend among researchers to make their data publicly available for
experimental reproducibility and data reusability. Sharing data with fellow researchers helps …

Se analiza el movimiento conocido en el mundo científico como data sharing, consistente
en compartir los datos finales de investigación entre los científicos, con el objetivo de …