Results 41 to 50 of about 614,762 (328)
Are we engaged in reproducible research?
Journal of Ayurveda and Integrative Medicine, 2015 Priyanka M Jadhav, Manoj P Jadhav
doaj +5 more sources
Reproducibility in Machine Learning-Driven Research [PDF]
arXiv, 2023 Research is facing a reproducibility crisis, in which the results and findings of many studies are difficult or even impossible to reproduce. This is also the case in machine learning (ML) and artificial intelligence (AI) research. Often, this is the case due to unpublished data and/or source-code, and due to sensitivity to ML training conditions ...
arxiv
A New R Package, Exsic, to Assist Taxonomists in Creating Indices
Applications in Plant Sciences, 2013 Premise of the study: Taxonomists manage large amounts of specimen data. This is usually initiated in spreadsheets and then converted for publication into locality lists and indices to associate collectors and collector numbers from herbarium sheets to ...
Reinhard Simon, David M. Spooner
doaj +1 more source
Reproducible Research in Archaeology
, 2021 This is the presentation given at the workshop on 'Reproducible research in Archaeology' at Durham University on 15th October 2021. The workshop included an introduction to what reproducibility is, why it is important for archaeological research and how you can make your research workflow reproducible.
Clarke, Alison +3 more
openaire +1 more source
A Guide to Computational Reproducibility in Signal Processing and Machine Learning [PDF]
arXiv, 2021 Computational reproducibility is a growing problem that has been extensively studied among computational researchers and within the signal processing and machine learning research community. However, with the changing landscape of signal processing and machine learning research come new obstacles and unseen challenges in creating reproducible ...
arxiv
The societal impact of Open Science: a scoping review
Royal Society Open ScienceOpen Science (OS) aims, in part, to drive greater societal impact of academic research. Government, funder and institutional policies state that it should further democratize research and increase learning and awareness, evidence-based policy-making, the
Nicki Lisa Cole +4 more
doaj +1 more source
Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions
Frontiers in Neuroinformatics, 2018 Scientific code is different from production software. Scientific code, by producing results that are then analyzed and interpreted, participates in the elaboration of scientific conclusions.
Fabien C. Y. Benureau +5 more
doaj +1 more source
Reproducibility and rigor in rheumatology research
Frontiers in Medicine, 2023 The pillars of scientific progress in rheumatology are experimentation and observation, followed by the publication of reliable and credible results. These data must then be independently verified, validated, and replicated. Peer and journal-specific technical and statistical reviews are paramount to improving rigor and reproducibility.
Alnaimat, Fatima +6 more
openaire +4 more sources
Reproducibility and Transparency versus Privacy and Confidentiality: Reflections from a Data Editor [PDF]
, 2023 Transparency and reproducibility are often seen in opposition to privacy and confidentiality. Data that need to be kept confidential are seen as an impediment to reproducibility, and privacy would seem to inhibit transparency. I bring a more nuanced view to the discussion, and show, using examples from over 1,000 reproducibility assessments, that ...
arxiv +1 more source
Laying foundations to quantify the "Effort of Reproducibility" [PDF]
arXiv, 2023 Why are some research studies easy to reproduce while others are difficult? Casting doubt on the accuracy of scientific work is not fruitful, especially when an individual researcher cannot reproduce the claims made in the paper. There could be many subjective reasons behind the inability to reproduce a scientific paper.
arxiv