All forms of data that could be collected

• Personal identity - Name, age, gender, address, current location, email, phone number, social links, identification (e.g. driving license, passport), work visas / authorisations, personal relationship network, biometrics, address changes, crime history, medical history, education history
• Professional identity - Profession, services and experience level, skills, skill endorsements, self ranking of skills, service rates, professional relationship network, available location to working, publications, patents, courses, honors and awards, licenses and accreditations, test scores, languages, organisations, work history, colleague recommendations, previous projects, volunteer experience, professional blogs and articles
• Professional work preferences - Role type, skills required, industry, company social impact, use of new technologies, quality of culture, access to mentorship, working on large projects, leadership opportunities, working locations, company size, team dynamic, autonomy, hierarchy structure, compensation preference (high equity and low salary or high salary low equity), career path
• Financial identity - Personal tax number (e.g. national insurance number, social security number), current balance, current assets, current liabilities, work contracts, financial contracts, credit history, financial transactions, mortgage history
• Digital identity - Digital services used (Facebook, LinkedIn, Github, Gitcoin, Dribbble, Twitter, YouTube), searches, transactions, interaction history, purchase history, geotagging

Data less relevant to a professional but could be linked to an identity

• Personal identity - Personal relationship network, identification (e.g. driving license, passport), biometrics, crime history, medical history, address changes
• Financial identity - Personal tax number (e.g. national insurance number, social security number), current balance, current assets, current liabilities, work contracts, financial contracts, credit history, financial transactions, mortgage history
• Digital identity - Digital services used (Facebook, Twitter), searches, transactions, interaction history, purchase history, geotagging

Data most relevant to use with a professional identity

• Personal identity - Name, age, gender, address, current location, email, phone number, social links, work visas / authorisations, education history
• Professional identity - Profession, services and experience level, skills, skill endorsements, self ranking of skills, service rates, professional relationship network, working locations, publications, patents, courses, honors and awards, licenses and accreditations, test scores, languages, organisations, work history, colleague recommendations, previous projects, volunteer experience
• Digital identity - Digital services used (LinkedIn, Github, Gitcoin, Dribbble, Twitter, YouTube)