Please list the specific public resources from which data relating to candidates is sourced.
Censia continuously maps the global talent pool and has built a highly scalable and secure enterprise data platform. Data is sourced from multiple industry and professional data partners and aggregator vendors who compile talent and people-based data across billions of public web pages and discover pages containing professional information. Censia applies artificial intelligence algorithms to extract, label, and structure that data to create a candidate “Golden Record” (live source of truth profile). To do this, Censia has built multiple data partnerships with vendors allowing us to aggregate data from over 2,000 public data sources providing necessary career data on our database of talent professionals. Each data set and field is matched to Censia taxonomies and ontologies for standardization and clustering. Some of these sources include Public Professional Sites (e.g., LinkedIn, Bloomberg, Pitchbook, GitHub, StackOverflow, Quora, Dribble, About.me, Angellist, WordPress Blogs, etc.), Public Resume Databases (Google Scholar, Indeed, etc.), Public Job Boards (e.g., Monster, Careerbuilder, etc.), Alumni Networks, Consumer Databases (e.g., D&B, ZoomInfo), State/Federal Registration Boards (oNet), Google Jobs API, Company Information (Pitchbook, Crunchbase, Privco, NYSE, NASDAQ, Yahoo Finance), Contact, validation and verification Partnership data, and more. Censia can add data from client-requested sites as well. All data Censia receives is run through a clustering process to determine relevant data points that belong together as part of the same person’s profile. For example, if there are 100,000 pieces of data labeled ‘Bob Smith,’ Censia algorithms determine which groups of data points belong to an individual, such as “Bob Smith, the CFO of XYZ Company” to create a Golden record profile that is distinct from all of the other Bob Smiths. Clustered data points are constantly combined, handling conflicting information to create a dynamic professional overview combining disparate data sources from across the web.