The FAIR (Findability, Accessibility, Interoperability, Reusability) principles were created by experts in the integration of data on scientific activity into electronic information systems in order to make this data accessible, compatible, and legally reusable.
Finding, Accessibility, Interoperability, and Reusability (findability, accessibility, compatibility, and reuse) are the four guiding principles of FAIR data. A common abbreviation, FAIR, is sometimes known as "fair." These principles were presented in a March 2016 article in the journal Scientific Data by a consortium of several scientists and organizations.
The FAIR principles focus on automatic processing capabilities - that is, the ability of computing systems to find, access, interact and reuse data without human intervention or with minimal human intervention - this is necessary due to the constant growth in the volume, complexity and speed of information.
The main FAIR data principles
In order to make good use of data, you have first to go out and get it. For both people and computers, metadata and data must be readily accessed through search engines. As part of the FAIRification process, metadata that can be interpreted by computers must be provided.
Once the data is located, the user must determine how to get access to it, maybe considering authentication and authorization.
The majority of the time, data must be linked to other data. Data must also connect with other apps or processes for analysis, storage and processing.
As a result of FAIR, data reuse will be maximized. Metadata and data must be well-described so that they may be copied and/or integrated under diverse circumstances.
Data (or any digital entity), metadata (information about that digital thing), and infrastructure are all included in the FAIR principles. F4 states that metadata and data should be recorded or indexed in a searchable database.
SciNote ELN is the ability to create a large-scale searchable database, which saves a lot of time. For example, SciNote users can save up to 9 hours per week!
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By the way, it takes, on average, 1 week for a user to become an advanced SciNote user and fully customize their own system in SciNote. But if you have any difficulties with the development of ELN, SciNote implementation specialists will solve any of your problems.
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