Have you ever heard about Google dataset search that becomes an incredible search engine for researchers in the field of data mining, AI, machine learning, and more? If no, then read on this post, as here, you’ll get each and every information regarding this dataset search, it’s working, ranking signals, and lots more.
What Is Google Dataset Search?
Since its launch, Google’s main motive has always been to provide the best of useful information to its users. And dataset search is its new approach to benefit the scientific community. Google dataset search is a dataset search engine that provides publicly available data to data journalist, scientist, and researchers. It is the one-stop solution for researchers to access all sorts of data easily, quickly, and freely. With this search engine, beginners and advanced researchers can use the available data to bring innovations.
How Google Creates Dataset Search Index?
Dataset search mainly depends on the structured data Metadata. While creating the index for dataset search, Google links the structured data to its knowledge graph and other essential ranking signals, such as links. Hence, link building is equally important for dataset search as it is for usual web page ranking. If you lack the knowledge and techniques for this, then reliable link building services from a trusted company would definitely be the best solution. The industry specialized professionals generate quality links for improved ranking on dataset search.
Signals Used By Google To Identify Copied Datasets
Like duplicate content, copied datasets can also affect its ranking in the dataset search. While checking the duplicacy of datasets, Google gives comparatively less importance to schema.org sameAs property, which canonicalise the given domain’s information. In comparison to this property, Google considers 2 dataset descriptions that tell about the specific canonical page (which has same DOI – digital object identifier), and promote the links (through sharing) for the downloading.
How Google Dataset Ranking Is Performed?
You have read about dataset search engine, now it’s time to learn how you can rank your dataset. It uses a combination of web page ranking signals and dataset-specific signals such as citations, metadata, and more.
Like usual webpage search ranking, Google uses the same ranking algorithms for datasets ranking. But, this scenario will change with the development of separate algorithms, meant only and only for dataset search. And this situation will arise, when Google has plenty of information on what ways do users find the data. Hence, stay tuned with Google’s additional signals and algo that give priority to metadata quality and other factors for ranking these sets in its search result pages of datasets.
Role Of Google’s Knowledge Graph In Dataset Ranking
According to Google, its Knowledge Graph (which improves online visitor’s search experience) is considered a vital ranking signal in dataset search. It is an ideal platform that shows and links the data regarding various entities. Google uses this additional ranking signal to comprehend acronyms, and the language.
Is Google Scholar An Essential Ranking Signal?
Apart from the Knowledge Graph, Google Scholar also plays a vital role in improving the ranking of a dataset. It tells about the author of the specific dataset, its significance, and gives an indication of its authority. Apart from improved ranking, Google Scholar is also a powerful weapon to fight against the hackers, trying to access the data in a wrong way.
Apart from researchers, website owners are using dataset search to find the data of other leading companies, and link to their site. Hence, you have a great possibility to boost the link building for your website, and ranking on Google search. So, keep an eye on Google’s guideline, and work on a detailed research, in order to appear in the top results of dataset search.
Ridhima chaudhary is a seasoned digital marketing expert cum blogger at Linkbuilding Corp with 4+ years of experience in the search marketing industry. Apart from implementing varied SEO, SEM & SMO strategies, she likes to pen down engaging blogs on online marketing, google updates, seo trends, business and so forth.