Six Essential Web Definitions for Life Science Website Owners

JSON-LD (JavaScript Object Notation for Linked Data) is a method for describing information on a web page in a machine-readable format. For a scientist, JSON-LD can be likened to a standardized label attached to an experiment, dataset, or instrument: the visible page explains the subject to humans, while JSON-LD provides machines with additional information about what that subject actually represents. JSON-LD typically uses the Schema.org vocabulary to describe entities such as organizations, websites, articles, products, or scientific resources. It is usually embedded in a page's HTML code and does not need to be visible to the visitor. For a life sciences website, this allows you to indicate whether a page represents an organization, a research resource, software, an article, or another type of entity. JSON-LD is based on JSON but adds mechanisms for expressing relationships between pieces of information.

A canonical URL identifies the preferred version of a web page when multiple URLs lead to substantially identical content. This is common on scientific websites: documentation may be accessible via different parameters, tracking links, print versions, or other navigation paths. A canonical URL functions somewhat like assigning a unique identifier to a scientific publication. Instead of letting search engines choose the primary version, the website can explicitly indicate its preferred URL using the link element rel="canonical". This helps search engines understand which URL represents the content and reduces confusion caused by duplicate or very similar pages. Canonicalization does not guarantee that Google will always select the specified URL, but it provides an important signal regarding the preferred version. For a life sciences website with extensive documentation, databases, or technical resources, maintaining consistent canonical URLs can therefore improve search engine ranking.

Google's Rich Results Test is a tool that allows website owners to examine structured data and determine if a page is eligible for certain rich display features. It's a quality check performed before submitting an analytics method; it doesn't alter the user experience but verifies that the information has been prepared according to specific requirements. A website owner can enter a URL or test the structured data code to see if Google recognizes the supported structured data types, as well as any errors or missing properties that might prevent eligibility. It's important to understand that passing the test doesn't guarantee that Google will display a rich result. It only indicates that the structured data meets the required technical specifications. Google also distinguishes this tool from general Schema.org validation: the Rich Results Test focuses specifically on the rich display features supported by Google.

The Schema.org validator is a more general tool for verifying structured data according to the Schema.org vocabulary. For a scientist, this means checking that a dataset adheres to the structure of a defined standard before sharing it with other researchers. The validator examines the markup embedded in a web page and can identify syntax problems while showing how the structured information has been interpreted. Unlike Google's rich results test, its primary goal is not to determine if a page is eligible for a particular Google search feature. Its purpose is to validate the Schema.org-based structured data itself. This distinction is important because Schema.org contains many types and properties that can be useful for describing information on the web but are not necessarily associated with a Google rich result. For life sciences websites, the validator can therefore be useful when developing or reviewing structured descriptions of organizations, websites, articles, datasets, services, or other scientific resources.

Metadata is "the information" that describes other information. Scientists use this concept every day: a research dataset may have metadata identifying its creator, date, methodology, variables, units, or experimental conditions. Web pages work similarly. Metadata can describe the title of a page, its subject, author, description, language, preferred URL, social-media presentation, or structured relationships between entities. Some metadata is intended primarily for search engines and other automated systems, while other forms can influence how a page is presented when it is shared or discovered. For a life-science website, well-organized metadata provides additional context around highly specialized content. This is particularly valuable when a page concerns a technical subject that may be difficult for a general-purpose search system to interpret from text alone. Metadata does not replace good scientific content; rather, it provides the digital context that helps search engines and specialized discovery platforms understand, classify, and connect that content with the people looking for it.

SEO: "Search Engine Optimization" isa  concept of work to help search engines to understand the content of a website. It can help user to find it and make a decision about whether they should visit the site through a search engine. It facts the site's display will depend not only on the content but also and especially, on keywords and the metadata structure. 
One of the disavantages is that if you buy keywords, the site will apear before others and therefore will not depend on the quality of the content.