Recommendations for reporting machine learning analyses in clinical research
Use of machine learning (ML) in clinical research is growing steadily given the increasing
availability of complex clinical data sets. ML presents important advantages in terms of …
availability of complex clinical data sets. ML presents important advantages in terms of …
The FAIR Guiding Principles for scientific data management and stewardship
MD Wilkinson, M Dumontier, IJJ Aalbersberg… - Scientific data, 2016 - nature.com
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data.
A diverse set of stakeholders—representing academia, industry, funding agencies, and …
A diverse set of stakeholders—representing academia, industry, funding agencies, and …
Erratum: SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler
After the publication of 'SOAPdenovo2: an empirically improved memory-efficient short-read
de novo assembler. GigaScience 2012 1: 18'[1] this paper was used as case study by the …
de novo assembler. GigaScience 2012 1: 18'[1] this paper was used as case study by the …
On the reuse of scientific data
While science policy promotes data sharing and open data, these are not ends in
themselves. Arguments for data sharing are to reproduce research, to make public assets …
themselves. Arguments for data sharing are to reproduce research, to make public assets …
[PDF][PDF] The FAIR Guiding Principles for scientific data management and stewardship
M Axton, A Baak, N Blomberg, JW Boiten… - Scientific data, 2016 - core.ac.uk
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data.
A diverse set of stakeholders—representing academia, industry, funding agencies, and …
A diverse set of stakeholders—representing academia, industry, funding agencies, and …
The ocean sampling day consortium
A Kopf, M Bicak, R Kottmann, J Schnetzer, I Kostadinov… - Gigascience, 2015 - Springer
Abstract Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial
Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine …
Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine …
Create, run, share, publish, and reference your LC–MS, FIA–MS, GC–MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online …
Metabolomics is a key approach in modern functional genomics and systems biology. Due
to the complexity of metabolomics data, the variety of experimental designs, and the …
to the complexity of metabolomics data, the variety of experimental designs, and the …
Why we need open data in computer science education research
N Kiesler, D Schiffner - Proceedings of the 2023 Conference on …, 2023 - dl.acm.org
Innovation and technology in computer science education is driven by research and
practice. Both of these activities involve the gathering and analysis of data in order to …
practice. Both of these activities involve the gathering and analysis of data in order to …
Advancing science with VGI: Reproducibility and replicability of recent studies using VGI
FO Ostermann, C Granell - Transactions in GIS, 2017 - Wiley Online Library
In scientific research, reproducibility and replicability are requirements to ensure the
advancement of our body of knowledge. This holds true also for VGI‐related research and …
advancement of our body of knowledge. This holds true also for VGI‐related research and …
Avocado: Visualization of workflow–derived data provenance for reproducible biomedical research
A major challenge in data‐driven biomedical research lies in the collection and
representation of data provenance information to ensure that findings are reproducibile. In …
representation of data provenance information to ensure that findings are reproducibile. In …