The library of integrated network-based cellular signatures NIH program: system-level cataloging of human cells response to perturbations
The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common
Fund program that catalogs how human cells globally respond to chemical, genetic, and …
Fund program that catalogs how human cells globally respond to chemical, genetic, and …
The OpenNeuro resource for sharing of neuroscience data
The sharing of research data is essential to ensure reproducibility and maximize the impact
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN …
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN …
FAIR, ethical, and coordinated data sharing for COVID-19 response: a sco** review and cross-sectional survey of COVID-19 data sharing platforms and registries
Data sharing is central to the rapid translation of research into advances in clinical medicine
and public health practice. In the context of COVID-19, there has been a rush to share data …
and public health practice. In the context of COVID-19, there has been a rush to share data …
Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud
The FAIR Data Principles propose that all scholarly output should be Findable, Accessible,
Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of …
Interoperable, and Reusable. As a set of guiding principles, expressing only the kinds of …
FAIRsharing as a community approach to standards, repositories and policies
How and when these regulatory gaps are closed could have profound consequences for the
marine biotech industry. The reach of the Nagoya Protocol into digital sequence information …
marine biotech industry. The reach of the Nagoya Protocol into digital sequence information …
The FAIR Guiding Principles for scientific data management and stewardship
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 …
Integrating human knowledge into artificial intelligence for complex and ill-structured problems: Informed artificial intelligence
Artificial intelligence (AI) has been gaining significant attention in various fields to reduce
costs, increase revenue, and improve customer satisfaction. AI can be particularly beneficial …
costs, increase revenue, and improve customer satisfaction. AI can be particularly beneficial …
brainlife. io: a decentralized and open-source cloud platform to support neuroscience research
Neuroscience is advancing standardization and tool development to support rigor and
transparency. Consequently, data pipeline complexity has increased, hindering FAIR …
transparency. Consequently, data pipeline complexity has increased, hindering FAIR …
[PDF][PDF] The FAIR Guiding Principles for scientific data management and stewardship
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 …
A generic workflow for the data FAIRification process
The FAIR guiding principles aim to enhance the Findability, Accessibility, Interoperability
and Reusability of digital resources such as data, for both humans and machines. The …
and Reusability of digital resources such as data, for both humans and machines. The …