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In April 2022, Matthias Scheffler and colleagues argued in Nature that FAIR principles are "a must" so that data mining and artificial intelligence can extract useful scientific information from the data. [21] However, making data (and research outcomes) FAIR is a challenging task, and it is challenging to assess the FAIRness. [22]
An introduction to persistent identifiers and FAIR data.. A persistent identifier (PI or PID) is a long-lasting reference to a document, file, web page, or other object.. The term "persistent identifier" is usually used in the context of digital objects that are accessible over the Internet.
CODATA supports the principle that data produced by research and susceptible to being used for research should be as open as possible and as closed as necessary. CODATA works also to advance the interoperability and the usability of such data; research data should be FAIR (findable, accessible, interoperable and reusable). [3]
The research object approach is primarily motivated by a desire to improve reproducibility of scientific investigations. Central to the proposal is need to share research artifacts commonly distributed across specialist repositories on the Web including supporting data, software executables, source code, presentation slides, presentation videos.
Data management has recently become a primary focus of the policy and research debate on open scientific data. The influential FAIR principles are voluntarily centered on the key features of "good data management" in a scientific context. [44] In a research context, data management is frequently associated to data lifecycles. Various models of ...
Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method .
Following the specification facilitates the documentation of privacy requirements from software conception to retirement, thereby providing a plan around adherence to privacy by design principles, and other guidance to privacy best practices, such as NIST's 800-53 Appendix J (NIST SP 800–53) and the Fair Information Practice Principles (FIPPs ...
Contextual integrity has been widely referred to when trying to understand the privacy concerns of the objective data flow traces. For example, Primal et al. argued that smartphone permissions would be more efficient if it only prompts the user "when an application's access to sensitive data is likely to defy expectations", and they examined ...