Job Data Glossary: Understand the Technical Language

Job Postings: Job postings, also known as job ads or job listings, serve as detailed announcements crafted by employers to highlight available positions within their organizations. These ads encompass crucial details like job titles, responsibilities, qualifications, and application processes. Data analysts rely on job postings to dissect labor market trends, discern industry changes, and extract valuable insights, empowering strategic decision-making and effective workforce planning.
Job Boards: Job boards, often referred to as job portals or career pages, serve as virtual marketplaces where companies post job openings, and job seekers can apply for those jobs. Renowned examples include Indeed, Glassdoor, and Monster, offering additional features like resume databases for recruiters and detailed company pages that showcase organizational culture and values.
Job Board Backfilling: Job board backfilling, also known as job posting syndication, involves automatically adding job postings from various external sources, like partner job boards, company websites, and professional networks, to a central job board. This process enhances the job board's content by providing a broader array of listings, making it more comprehensive and dynamic. Job board backfilling saves time for both job boards and employers, ensuring a more extensive and up-to-date job search experience for users.
Job Board Hosting: Job board hosting, often termed as job board platform services, is the practice of outsourcing the technical management of an online job board to third-party providers. This approach allows job board owners to focus on content curation, monetization, and functionality without the need for extensive technical expertise. Benefits of utilizing a job board hoster include cost savings, easy setup, and ongoing technical support, providing an efficient and scalable solution compared to self-hosting, where individuals or organizations manage the entire job board infrastructure independently.
Job Data: Job data, often interchangeably used with employment data, constitutes a wide-ranging collection of information crucial for businesses, job seekers, and researchers. This data goes beyond individual job postings, offering comprehensive insights into labor market statistics, trends, and industry-specific employment figures. With details on job growth, unemployment rates, and other macroscopic perspectives, job data serves as a valuable resource for making informed decisions, from hiring and training to policy development and competitive intelligence.
Job Datasets: Job datasets, also referred to as job posting datasets or employment datasets, consist of structured collections of job postings, encompassing details such as job titles, responsibilities, qualifications, and hiring organizations for whole countries. By harnessing job datasets, data scientists can uncover meaningful patterns, identify correlations, and contribute to informed decision-making for lead generation, talent acquisition, workforce planning, and strategic business initiatives.
Job Datafeeds: Job datafeeds, also known as job data feeds or job feed services, are automated streams of real-time job information gathered from diverse sources like job boards, company websites, and social media platforms. These feeds provide seamless updates on job listings, ensuring timely and accurate information for users. Data scientists can harness job datafeeds to continuously analyze labor market trends, identify sales signals, monitor emerging job titles and skills, and gain valuable insights into evolving employer needs, contributing to informed decision-making and strategic planning.
JSON-LD: JSON-LD is a lightweight format for representing structured data on the web. It is a subset of JSON, which is a common data-interlinking format. Also known as JSON Linked Data, it is specifically designed for embedding structured data on web pages. The benefits of using JSON-LD for structured data include improved search engine visibility, enhanced understanding of webpage content by search engines, and the facilitation of rich snippets, which can lead to more informative and visually appealing search results.