Developed internally by FDA staff person Stan W. Woollen, ALCOA stands for Attributable, Legible, Contemporaneous, Original, and Accurate. Later added, the + includes Complete, Consistent, Enduring, and Available.
The CARE Principles for Indigenous Data Governance are people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination. CARE stands for Collective Benefit, Authority to Control, Responsibility, and Ethics.
The Distributed System of Scientific Collections is a new world-class Research Infrastructure (RI) for Natural Science Collections. The DiSSCo RI aims to create a new business model for one European collection that digitally unifies all European natural science assets under common access, curation, policies and practices that ensure that all the data is easily Findable, Accessible, Interoperable and Reusable (FAIR principles).
From the Convention on Biological Diversity (CBD), the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization to the Convention on Biological Diversity is an international agreement which aims at sharing the benefits arising from the utilization of genetic resources in a fair and equitable way.
Transparency, Responsibility, User focus, Sustainability and Technology: the TRUST Principles provide a common framework to facilitate discussion and implementation of best practice in digital preservation by all stakeholders.
The Biodiversity Collections Network (BCoN) emerged from a five-year national initiative funded by the U.S. National Science Foundation (NSF DBI 1441785) to support the development of a new, sustainable community of practice that will ensure that all U.S. biodiversity collections are digitally available for research, education, informed decision-making, and other scholarly and creative activities.
Welcome to the Australian Research Data Commons’ FAIR data self assessment tool. Using this tool you will be able to assess the ‘FAIRness’ of a dataset and determine how to enhance its FAIRness (where applicable).
