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To improvely finding data from data, it is important to use structured information, such as the name, description, author and distribution format. The use of Schema.org and other metadata standards helps to increase the visibility of your site information in Google. This is especially true for areas related to science, state data and machine learning.
Structured data is a standardized format with which you can describe the content of the page of your site. In order to correctly implement such a format, it is necessary to determine the necessary properties and insert them into the page of the page. You can use CMS with appropriate plugins or JavaScript to generate structured information.
If you do not want a certain set of data to be displayed in the search results, configure the Robots attribute to prohibit indexing. However, it must be borne in mind that such changes can enter into force with a delay.
Search systems understand data based on schema.org or formats that meet W3C standards. This allows you to find and analyze the description of the information of your site. As the standards develop, the approach will be improved.
One of the recommended formats is JSON-LD using the Schema.org dictionary. It is also permissible to use RDFA or Microdata. An example of the description includes information about the title, license, authorship, sources, date of publication, format and geographical coverage.
The site card helps the search engine quickly find a URL with a set of data. If your site has pages with lists or individual pages with descriptions, place structured data on canonical pages and use the Sameas property to indicate the original.
If the data is borrowed or processed, indicate what they are based on the properties of Sameas and ISBASEDON. This will help create a transparent system of origin and licensing of information of your site.
It is recommended to limit text properties up to 5000 characters. The headlines and descriptions of data sets should be short and informative. Names should not be duplicated between different data sets.
When checking the marking through Rich Results Test, errors may appear, especially if there is no contact information of the organization or unsupported values are used. Some errors can be ignored, but critical ones need to be fixed.
Basic properties: Description (Description), Name (NAME), Identifier (IDentifier), License (License), Author (Creator), Source (Sameas), Time period (TemporalCoveRAGE), Geography coverage and file format (ENCODINGFORMAT). These data form the basis of metadata set of data.
The DATASET type contains all the basic information about the data: name, description, license, identifiers, authors supporting organizations and sources. Additionally, you can specify data submarines via Haspart or indicate belonging to a larger set through ISPARTOF.
The type Datacatalog is used when data is published in storage or catalogs. You can indicate which catalog the data set belongs to, through the Includedindatacatalog property.
This type determines the possibility of downloading a file. The URL and the file format are necessarily indicated. Additionally, you can indicate the description of the resource if it is available.
For tabular data, there is a beta-support of the CSVW format. It allows you to describe the tables in the JSON-LD structure, including column names, data types and cell values.
Search Console helps to track the effectiveness of pages containing structured data. After publishing new data or changes in templates, it is worth checking the status of marking and eliminating errors. You can also analyze clicks, shows and site positions.
If problems arise, you can contact a site or CMS specialists. It is also recommended to use Search Console to receive reports and analysis. If necessary, you can always get help from professionals.
If you need help with marking or promoting your site in Google, you can contact the SEO companion CEO by email info@seo.computer Or WhatsApp +79202044461.
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