Content-based fake news detection with machine and deep learning: a systematic review
Fake news, which can be defined as intentionally and verifiably false news, has a strong
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
influence on critical aspects of our society. Manual fact-checking is a widely adopted …
Open science by design: Realizing a vision for 21st century research
National Academies of Sciences, Policy, Global Affairs… - 2018 - books.google.com
Openness and sharing of information are fundamental to the progress of science and to the
effective functioning of the research enterprise. The advent of scientific journals in the 17th …
effective functioning of the research enterprise. The advent of scientific journals in the 17th …
Show us the data: global COVID-19 wastewater monitoring efforts, equity, and gaps
A year since the declaration of the global coronavirus disease 2019 (COVID-19) pandemic,
there were over 110 million cases and 2.5 million deaths. Learning from methods to track …
there were over 110 million cases and 2.5 million deaths. Learning from methods to track …
The taxon hypothesis paradigm—on the unambiguous detection and communication of taxa
Here, we describe the taxon hypothesis (TH) paradigm, which covers the construction,
identification, and communication of taxa as datasets. Defining taxa as datasets of …
identification, and communication of taxa as datasets. Defining taxa as datasets of …
Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide
Background With data becoming a centerpiece of modern scientific discovery, data sharing
by scientists is now a crucial element of scientific progress. This article aims to provide an in …
by scientists is now a crucial element of scientific progress. This article aims to provide an in …
Demystifying mlops and presenting a recipe for the selection of open-source tools
Nowadays, machine learning projects have become more and more relevant to various real-
world use cases. The success of complex Neural Network models depends upon many …
world use cases. The success of complex Neural Network models depends upon many …
FAIR principles: interpretations and implementation considerations
A Jacobsen, R de Miranda Azevedo, N Juty… - Data …, 2020 - direct.mit.edu
The FAIR principles have been widely cited, endorsed and adopted by a broad range of
stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do …
stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do …
Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders
The Pandemic of COVID-19, an infectious disease caused by SARS-CoV-2 motivated the
scientific community to work together in order to gather, organize, process and distribute …
scientific community to work together in order to gather, organize, process and distribute …
The FAIR guiding principles for data stewardship: fair enough?
M Boeckhout, GA Zielhuis… - European journal of human …, 2018 - nature.com
The FAIR guiding principles for research data stewardship (findability, accessibility,
interoperability, and reusability) look set to become a cornerstone of research in the life …
interoperability, and reusability) look set to become a cornerstone of research in the life …
A design framework and exemplar metrics for FAIRness
The FAIR Principles 1 (https://doi. org/10.25504/FAIRsharing. WWI10U) provide guidelines
for the publication of digital resources such as datasets, code, workflows, and research …
for the publication of digital resources such as datasets, code, workflows, and research …