Open Knowledge as an essential design principle for a fair ...

Open Knowledge as an essential design principle for a fair, sustainable and open future ... We created digital tools, equipped people with skills ...

Who we are - Open Knowledge Foundation

Our mission is to create a fair, sustainable and open future, advancing open knowledge as a design principle beyond just data. We will do it by creating tools, ...

Open Knowledge as an essential design principle for a free ... - LaLIST

Open Knowledge as an essential design principle for a free, sustainable and open future ... (…) » Partager. Cliquez pour partager sur Twitter( ...

The FAIR principles: A quick introduction - IDBS

The FAIR principles are a set of guidelines for making data Findable, Accessible, Interoperable, and Reusable.

FAIR in a nutshell - Galaxy Training!

The FAIR (Findable, Accessible, Interoperable, Reusable) principles emphasize machine-actionability. The main objective of FAIR is to increase data reuse by ...

FAIR Principles

In 2016, the 'FAIR Guiding Principles for scientific data management and stewardship' were published in Scientific Data. The authors intended to provide ...

Aligning Open Knowledge Practices and Spending with Issues of ...

And so, the stated principles of Open Knowledge deeply aligned with the essence of DEIA and justice efforts. Open Knowledge, as we all know, ...

FAIR data - Wikipedia

FAIR data is data which meets the FAIR principles of findability, accessibility, interoperability, and reusability (FAIR).

Operationalizing the CARE and FAIR Principles for Indigenous data ...

As big data, open data, and open science advance to increase access to complex and large datasets for innovation, discovery, ...

FAIR Principles - NNLM

The FAIR Principles are findability (F), accessibility (A), interoperability (I), and reusability (R) and delineate requirements that allow for data sharing.

Open Knowledge Network Roadmap - National Science Foundation

Another important experience base to build upon is the design thinking and user ... • Per FAIR principles, making knowledge easily accessible and tractable.

Open Science and FAIR

To try to guide the scientific community on how to ensure that the research data is useful for others in the digital age, the FAIR principles were published ...

What is FAIR?

The FAIR universe is populated by concepts and acronyms that you don't know. Learn more about the FAIR principles, FAIR data, and FAIRification practices on ...

FAIR Principles: Interpretations and Implementation Considerations

This principle clearly demonstrates that FAIR is not equal to “open”. ... must do what is necessary to ensure that the knowledge representing a resource is ...

Ontologies and the FAIR data principles - Excelra

The FAIR principles: to make data “Findable”,” Accessible”, “Interoperable”, and “Re-usable”, stem from the notion of the open science movement.

A Guide to the FAIR Principles in Biopharma - Front Line Genomics

The FAIR principles promote good data management and integration. This is crucial for knowledge discovery, innovation, and the re-use of data ...

Towards FAIR principles for research software

The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility, interoperability and reusability of digital ...

Making Data FAIR | ARDC - Australian Research Data Commons

The FAIR Principles · support knowledge discovery and innovation both by humans and machines · facilitate data and knowledge integration · enable new discoveries ...

2. The FAIR Principles and Research Data Management

The FAIR guiding principles allow data stewards to participate in important data publishing decisions and also provide space for other principles to be invoked.

GEO Statement on Open Knowledge

Open Knowledge is also essential to achieve ... open license and follow the GEO Data Sharing and Management Principles, the FAIR Principles.