Dictionary: Multi-source Employee Data

On this page, you'll find detailed information about Coresignal's Multi-source Employee data. Each category includes a table listing the available data points, their explanations, data types, and sample code snippets.

All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes.

Data points in the example snippets are rearranged for better grouping.

Data points per category

1. Metadata

2. Identifiers and URLs

3. Employee information

4. Professional contact information

5. Location

6. Experience and workplace

7. Full experience information

8. Workplace details

9. Education

10. Salary

11. Profile field changes

12. Recommendations

13. Activity

14. Awards

15. Courses

16. Certifications

17. Languages

18. Patents

19. Publications

20. Projects

21. Organizations

Metadata

Data point	Description	Data type
created_at	The date and time when the employee record was created	String (date)
updated_at	The date and time when the employee record was last fully updated	String (date)
checked_at	The date and time when the employee record was last checked partially	String (date)
changed_at	The date and time when the employee record was last changed	String (date)
experience_change_last_identified_at	The date and time when the employee record change was last identified	String (date)
is_deleted	Marks if the employee record is deleted or private 1 – the record is deleted 0 – the record is not deleted	Number (integer)
is_parent	Notes if the employee record is the main employee profile: 1 – the record is parent (main) 0 – the record is not parent	Number (integer)

See a snippet of the dataset for reference:

Metadata

    "created_at": "2024-07-27T01:56:27.000",
    "updated_at": "2024-10-23T05:50:09.000",
    "checked_at": "2025-10-23T05:50:09.000",
    "changed_at": "2025-11-21T06:30:1.000",
    "experience_change_last_identified_at": "2024-10-25T06:30:10.000",
    "is_deleted": 0,
    "is_parent": 1

Identifiers and URLs

Data point	Description	Data type
id	Coresignal's identification key for an employee profile record. Taken from the professional network dataset.	Number (integer)
parent_id	Parent category identification key	Number (integer)
historical_ids	Historical identification keys that are related to the same profile after URL change	Array of strings
professional_network_url	Most recent profile URL on professional network	String
professional_network_shorthand_names	Historical variations of shorthand names for the employee	Array of strings
public_profile_id	Public profile ID	Number (long)

See a snippet of the dataset for reference:

Identifiers & URLs

"id": 12389891,
"parent_id": 12389891, 
"historical_ids": [
12389891,
11589843
]
"professional_network_url": "https://www.professional_network.com/in/john-doe-18729383",
"professional_network_shorthand_names": [
        "real-john-doe"    
        "john-doe-1992"  
]

Employee information

Data point	Description	Data type
full_name	Employee's full name	String
first_name	Employee's first name Parsed from the full_name	String
first_name_initial	First name initial Parsed from first_name	String
middle_name	Employee's middle name Parsed from the full_name	String
middle_name_initial	Middle name initial Parsed from middle_name	String
last_name	Employee's last name Parsed from the full_name	String
last_name_initial	Last name initial Parsed from last_name	String
picture_url	Picture URL	String
connections_count	Count of profile connections	Number (integer)
followers_count	Count of profile followers	Number (integer)
interests	Employee's interests	Array of strings

See a snippet of the dataset for reference:

Employee information

"full_name": "John Doe",
"first_name": "John",
"first_name_initial": "J",
"middle_name": "Michael",
"middle_name_initial": "M",
"last_name": "Doe",
"last_name_initial": "D",
"picture_url": "https://static.lnk.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2" 
"connections_count": 472,
"followers_count": 3190,
"interests": 
[
    "hiking",
    "snowboarding",
    "cycling",
]

Professional contact information

Coresignal collects only publicly available, strictly business-related data published or released by companies or individuals at their discretion online. The contact information includes only professional emails. No sensitive or private/ located within the login secured areas information is collected or transmitted.

Data point	Description	Data type
primary_professional_email	Employee's business email address tied to their workplace	String
primary_professional_email_status	The confidence level in the accuracy of the employee's business email address. The field will return four options: verified, matched_email, matched_pattern, or guessed_common_pattern.	String
professional_emails_collection	Collection of employee's business email addresses	Array of structs
professional_email	Employee's business email address	String
professional_email_status	The confidence level in the accuracy of the employee's professional email address. The field will return four options: verified – the email was matched and verified matched_email – the email was matched but could not retrieve "verified" status matched_pattern – the exact email was not matched, but it was guessed based on the matched email pattern for the company guessed_common_pattern – neither the exact email nor the email pattern for that company was matched, but the most common global pattern was guessed	String
order_of_priority	Order of priority based on confidence in email validity	Number (integer)

See a snippet of the dataset for reference:

Professional contact information

"primary_professional_email": "[email protected]", 
"primary_professional_email_status": "matched_pattern",
"professional_emails_collection": [
    {
        "professional_email": "[email protected]",
        "professional_email_status": "matched_pattern",
        "order_of_priority": 1
    },
    {
        "professional_email": "[email protected]",
        "professional_email_status": "matched_pattern",
        "order_of_priority": 2
    },
    {
        "professional_email": "[email protected]",
        "professional_email_status": "matched_pattern",
        "order_of_priority": 3
    }
]

Location

Data point	Description	Data type
location_country	Associated country	String
location_country_iso2	ISO 2-letter code of the location country, based on their location_country value.	String
location_country_iso3	ISO 3-letter code of the location country, based on their location_country value.	String
location_full	Full location	String
location_regions	Associated geographical regions based on their location_country value	Array of strings

See a snippet of the dataset for reference:

Location

"location_country": "United States",
    "location_country_iso2": "US",
    "location_country_iso3": "USA",
    "location_full": "San Diego, California, United States",
    "location_regions": [
        {
            "region": "Americas"
        },
        {
            "region": "Northern America"
        },
        {
            "region": "AMER"
        }
]

Experience and workplace

Active experience overview

Data point	Description	Data type
headline	Profile headline	String
summary	Main description (employee summary)	String
services	Offered services	String
is_working	Marks if the employee is currently employed 1 – the employee is currently working 0 – the employee is currently not working	Number (integer)
active_experience_company_id	Coresignal's identification key for a company to identify where the employee is currently working	Number (integer)
active_experience_title	Title of employee's current position	String
active_experience_description	Description of the current position	String
active_experience_department	A list of employee's departments, based on actve_position_title	String
active_experience_management_level	A list of employee's management levels, based on active_experience_title	String
is_decision_maker	Marks if the employee is a decision maker, based on active_experience_title 1 – the employee is a decision maker 0 – the employee is not a decision maker	Number (integer)

See a snippet of the dataset for reference:

Active experience overview

"headline": "Data Analyst | Machine Learning Enthusiast",
"generated_headline": "Data Specialist – Predictive Analytics",
"summary": "<p>Passionate about uncovering insights from data and applying machine learning techniques to solve global problems.</p>",
"services": "Data Analysis, Machine Learning Consulting, Business Intelligence",
"is_working": 1,
"active_experience_company_id": 4127532,
"active_experience_title": "Senior Data Analyst",
"active_experience_description": "Leading data-driven projects, building predictive models, and optimizing business intelligence strategies.",
"active_experience_department": "Engineering and Technical",
"active_experience_management_level": "Senior",
"is_decision_maker": 1

Skills

Data point	Description	Data type
inferred_skills	Lists employees' skills based on the descriptions from the profile	Array of strings
historical_skills	Historical skills	Array of strings

See a snippet of the dataset for reference:

Skills

"inferred_skills": [
    "cloud computing",
    "data analysis",
    "software development",
    "troubleshooting",
    "web development"
]

Experience duration

Data point	Description	Data type
total_experience_duration_months	Total normalized experience duration of all Employee's experiences	Number (integer)
total_experience_duration_months_breakdown_department	Total normalized experience duration by employee's department	Array of structs
department	Department	String
total_experience_duration_months	Experience duration in months	String
total_experience_duration_months_breakdown_management_level	Total normalized experience duration by Employee's management level	Array of structs
management_level	Employee's management level	String
total_experience_duration_months	Experience duration in months	String

See a snippet of the dataset for reference:

Experience duration

"total_experience_duration_months": 85,
"total_experience_duration_months_breakdown_department": [
    {
        "department": "C-Suite",
        "total_experience_duration_months": 13
    },
    {
        "department": "Marketing",
        "total_experience_duration_months": 30
    },
    {
        "department": "Finance & Accounting",
        "total_experience_duration_months": 14
    },
    {
        "department": "Engineering and Technical",
        "total_experience_duration_months": 28
    }
],
"total_experience_duration_months_breakdown_management_level": [
    {
        "management_level": "C-Level",
        "total_experience_duration_months": 10
    },
    {
        "management_level": "Intern",
        "total_experience_duration_months": 3
    },
    {
        "management_level": "Senior",
        "total_experience_duration_months": 4
    },
    {
        "management_level": "Specialist",
        "total_experience_duration_months": 40
    },
    {
        "management_level": "Manager",
        "total_experience_duration_months": 18
    }
]

Full experience information

Data point	Description	Data type
experience	Work experience the Employee has	Array of structs
active_experience	Identifies if this is a current (active) position	String
position_title	Employee's position title	String
department	Employees department	String
management_level	Employee's management level	String
location	Job/workplace location	String
date_from	Employment start date	String (date)
date_from_year	Employment start year	Integer
date_from_month	Employment start month	Integer
date_to	Employment end date	String (date)
date_to_year	Employment end year	Integer
date_to_month	Employment end month	Integer
duration_months	Employment duration in months	Integer
description	Employment description	String

See a snippet of the dataset for reference:

Full experience information

"experience": [
    {
        "active_experience": 0,
        "position_title": "Senior Data Analyst",
        "department": "Data Science",
        "management_level": "Mid-Level",
        "location": "San Francisco, California, United States",
        "date_from": "March 2020",
        "date_from_year": 2020,
        "date_from_month": 3,
        "date_to": "July 2022",
        "date_to_year": 2022,
        "date_to_month": 7,
        "duration_months": 126
    }
]

Workplace details

Metadata and firmographics

Data point	Description	Data type
company_id	Company record identification key in Coresignal's database	Integer
company_name	Company name	String
company_type	Company type	String
company_founded_year	Founding year	String (date)
company_size_range	Company size based on employee count range (as selected by the company profile administrator)	String
company_employees_count	Number of employees that associated their experience with the company	Number (integer)
company_categories_and_keywords	Categories and keywords are assigned to the company profile and products across various platforms	Array of strings
company_employees_count_change_yearly_percentage	Company employee count change (percentage)	Number (integer)
company_industry	Company's industry	String
company_last_updated_at	The last update date of the record in the YYYY-MM-DD format	String (date)
company_is_b2b	Indicates if the company operates in a business-to-business model: 1 – b2b company 0 – b2c company	Number (integer)
order_in_profile	The order number of the workplace in the profile	Number (integer)

See a snippet of the dataset for reference:

Metadata & firmographics

"company_id": 87272276,
"company_name": "Company123, LLC",
"company_type": "Privately Held",
"company_founded_year": "2023",
"company_size_range": "51-200 employees",
"company_employees_count": 157,
"company_categories_and_keywords": [
                "Data Analysis",
                "AI",
                "Management",
                "Consulting",
],
"company_employees_count_change_yearly_percentage": 17.43222222222222
"company_industry": "Manufacturing",
"company_last_updated_at": "2025-02-03", 
"company_is_b2b": 1,
"order_in_profile": 1

Social media

Data point	Description	Data type
company_followers_count	Company's profile follower count on professional network	Integer
company_website	Company's website	String
company_facebook_url	Company's Facebook URL	Array of strings
company_twitter_url	Company's X (Twitter) URL	Array of strings
company_linkedin_url	Company's LinkedIn URL	String

See a snippet of the dataset for reference:

Social media

"company_followers_count": 527712,
"company_website": "https://www.company1.com",
"company_facebook_url": [
    "https://www.facebook.com/company1global",
    "https://www.facebook.com/company1"
],
"company_twitter_url": [
    "https://www.x.com/company1"
],
"company_linkedin_url": "https://www.linkedin.com/company/company1"

Financials

Data point	Description	Data type
company_annual_revenue_source_1, company_annual_revenue_source_5	Company's revenue from a specific source	Array of objects
company_annual_revenue_currency_source_1, company_annual_revenue_currency_source_5	Revenue currency	String
company_last_funding_round_date	Date when the last funding round was announced in YYYY-MM-DD format	String (date)
company_last_funding_round_amount_raised	Amount raised in the last funding round	Integer (long)
company_stock_ticker	Company's stock ticker information	Array of objects
exchange	Stock exchange	String
ticker	Stock ticker	String

See a snippet of the dataset for reference:

Financials

"annual_revenue_source_5": 32590000,
"annual_revenue_currency_source_5": "$",
"annual_revenue_source_1": 878728373,
"annual_revenue_currency_source_1": "$",

"company_last_funding_round_date": "2024-03-25",
"company_last_funding_round_amount_raised": 200 000,

"stock_ticker": [
    {
      "exchange": "NASDAQ", 
      "ticker": "AAPL" 
    }
  ]

Workplace locations

Data point	Description	Data type
company_hq_full_address	Full address of the company's headquarters	String
company_hq_country	The country where the company's headquarters is located	String
company_hq_regions	Detailed region where the company's headquarters is located	Array of strings
company_hq_country_iso2	ISO 2-letter code of the headquarters country	String
company_hq_country_iso3	ISO 3-letter code of the headquarters country	String
company_hq_city	Headquarters city	String
company_hq_state	Headquarters state	String
company_hq_street	Headquarters street address	String
company_hq_zipcode	Headquarters zip code	String

See a snippet of the dataset for reference:

Locations

"company_hq_full_address": "123 Data Drive, Analytics City, CA 94016, USA",
"company_hq_country": "United States",
"company_hq_regions": [
                "Americas",
                "Northern America",
                "AMER"],
"company_hq_country_iso2": "US",
"company_hq_country_iso3": "USA",
"company_hq_city": "Analytics City",
"company_hq_state": "California",
"company_hq_street": "123 Data Drive",
"company_hq_zipcode": "94016",

Education

Data point	Description	Data type
last_graduation_date	Last graduation date	String (date)
education_degrees	List of education degrees held by the person	Array of strings
education	Employee's education	Array of objects
degree	Degree name	String
description	Degree description	String
institution_url	Institution's profile URL	String
institution_name	Institution's name	String
institution_full_address	Institution's full address	String
institution_country_iso2	ISO 2-letter code of the institution's country	String
institution_country_iso3	ISO 3-letter code of the institution's country	String
institution_regions	Institution's region	Array of strings
institution_city	Institution's city	String
institution_state	Institution's state	String
institution_street	Institution's street	String
institution_zipcode	Institution's zip code	String
date_from_year	Enrollment date	Number (integer)
date_to_year	Graduation date	String (date)
activities_and_societies	Activities and societies that are connected with the employee	String
order_in_profile	Order in profile	Number (integer)

See a snippet of the dataset for reference:

Education

"last_graduation_date": 2022,
  "education_degrees": [
    "Bachelor of Science, Computer Science Engineering, 9.12 (Rank: 4/80)",
    "Senior Secondary, Mathematics, 93%",
    "Higher Secondary, Science, 96%"
  ],
  "education": [
    {
      "degree": "Bachelor of Science, Computer Science Engineering, 9.12 (Rank: 4/80)",
      "description": "Focused on core sciences with a strong foundation in Physics and Chemistry.",
      "institution_url": "https://www.topuniversity.edu",
      "institution_name": "Top University",
      "institution_full_address": "Top University, 123 Main St, Cityville, State 12345, USA",
      "institution_country_iso2": "US",
      "institution_country_iso3": "USA",
      "institution_regions": [
        "North America",
        "East Coast"
      ],
      "institution_city": "Cityville",
      "institution_state": "State",
      "institution_street": "123 Main St",
      "institution_zipcode": "12345",
      "date_from_year": 2014,
      "date_to_year": 2016,
      "activities_and_societies": "Science Fair, Debate Team",
      "order_in_profile": 1
    },
  ]

Salary

Projected base salary

Data point	Description	Data type
projected_base_salary_p25	Minimum projected base salary for the current position (25th percentile)	Number (double)
projected_base_salary_median	Median projected base salary for the current position	Number (double)
projected_base_salary_p75	Maximum projected base salary for the current position (75th percentile)	Number (double)
projected_base_salary_period	Data collection period	String
projected_base_salary_currency	Salary currency	String
projected_base_salary_updated_at	Data last update date	String (date)

See a snippet of the dataset for reference:

Projected base salary

"projected_base_salary_p25": 105432.56,
"projected_base_salary_median": 120785.90,
"projected_base_salary_p75": 145430.78,
"projected_base_salary_period": "ANNUAL",
"projected_base_salary_currency": "USD",
"projected_base_salary_updated_at": "2025-02-03"

Projected additional salary

Data point	Description	Data type
projected_additional_salary	Projected additional salary	Array of structs
projected_additional_salary_type	Projected additional salary type for the current position	String
projected_additional_salary_p25	Minimum projected additional salary for the current position (25th percentile)	Number (double)
projected_additional_salary_median	Median projected additional salary for the current position	Number (double)
projected_additional_salary_p75	Maximum projected additional salary for the current position (75th percentile)	Number (double)
projected_additional_salary_period	Data collection period	String
projected_additional_salary_currency	Salary currency	String
projected_additional_salary_updated_at	Data last update date	String (date)

See a snippet of the dataset for reference:

Projected additional salary

"projected_additional_salary": [
    {
        "projected_additional_salary_type": "Cash Bonus",
        "projected_additional_salary_p25": 7654.21,
        "projected_additional_salary_median": 10234.56,
        "projected_additional_salary_p75": 14123.78
    },
    {
        "projected_additional_salary_type": "Stock Bonus",
        "projected_additional_salary_p25": 8892.10,
        "projected_additional_salary_median": 11754.93,
        "projected_additional_salary_p75": 16123.12
    }
]
"projected_additional_salary_period": "ANNUAL",
"projected_additional_salary_currency": "USD",
"projected_additional_salary_updated_at": "2024-12-06"

Projected total salary

Data point	Description	Data type
projected_total_salary_p25	Minimum projected total salary value for the current position (25th percentile)	Number (double)
projected_total_salary_median	Median projected total salary value for the current position	Number (double)
projected_total_salary_p75	Maximum projected total salary value for the current position (75th percentile)	Number (double)
projected_total_salary_period	Data collection period	String
projected_total_salary_currency	Salary currency	String
projected_total_salary_updated_at	Data last update date	String (date)

See a snippet of the dataset for reference:

Projected total salary

"projected_total_salary_p25": 142763.21,
"projected_total_salary_median": 153290.88,
"projected_total_salary_p75": 165432.19,
"projected_total_salary_period": "ANNUAL",
"projected_total_salary_currency": "USD",
"projected_total_salary_updated_at": "2025-02-12",

Profile field changes

Data point	Description	Data type
profile_root_field_changes_summary	Summary of the field-level changes	Array of structs
field_name	Name of the data field	String
change_type	Type of the data field change	String
last_changed_at	Date of the last data field change	String (date)
profile_collection_field_changes_summary	Summary of changes in profile collection fields	Array of structs
field_name	Name of the collection data field	String
last_changed_at	Data of the last collection data field change	String

See a snippet of the dataset for reference:

Profile field changes

"profile_root_field_changes_summary": [
    {
        "field_name": "followers_count",
        "change_type": "updated",
        "last_changed_at": "2023-07-18T09:22:45.567"
    },
    {
        "field_name": "summary",
        "change_type": "updated",
        "last_changed_at": "2025-02-18T09:22:45.567"
    }
],
"profile_collection_field_changes_summary": [
    {
        "field_name": "experience",
        "last_changed_at": "2024-01-05T17:48:12.892"
    },
    {
        "field_name": "activity",
        "last_changed_at": "2025-02-05T17:48:12.892"
    }
]

Recent experience changes

Data point	Description	Data type
experience_recently_started	Collection of identified recently started Employee experiences	Array of structs
company_id	Coresignal's identification key for a company record	String
company_name	Company name	String
company_url	URL of the company	String
company_shorthand_name	Shorthand name of the company's URL	String
date_from	Start date of the experience record	String
date_to	End date of the experience record	String
title	Position title in the company	String
identification_date	Date when experience change was identified	String
experience_recently_closed	Collection of employee experiences that ended recently	Array of structs
company_id	Coresignal's identification key for a company record	String
company_name	Company name	String
company_url	URL of the company	String
company_shorthand_name	Shorthand name of the company's URL	String
date_from	Start date of the experience record	String
date_to	End date of the experience record	String
title	Position title in the company	String
identification_date	Date when experience change was identified	String

See a snippet of the dataset for reference:

Recent experience changes

"experience_recently_started": [
    {
        "company_id": 3124502,
        "company_name": "Company1, LLC",
        "company_url": "https://www.professional_network.com/company/company1-llc",
        "company_shorthand_name": "company1-llc",
        "date_from": "Nov 2024",
        "date_to": "Dec 2024",
        "title": "Senior Software Engineer",
        "identification_date": "2024-11-19T15:34:29.412"
    },
],
"experience_recently_closed": [
    {
        "company_id": 3124504,
        "company_name": "Company3, LLC",
        "company_url": "https://www.professional_network.com/company/company3-llc",
        "company_shorthand_name": "company3-llc",
        "date_from": "Jul 2021",
        "date_to": "Oct 2024",
        "title": "Software Engineer",
        "identification_date": "2024-12-14T10:48:37.215"
    }
]

Recommendations

Data point	Description	Data type
recommendations_count	Number of recommendations from other users	Number (integer)
recommendations	List of recommendations received	Array of structs
recommendation	Recommendation text	String
referee_full_name	The full name of the person who wrote the recommendation	String
referee_url	The URL of the profile of the person who wrote the recommendation	String
order_in_profile	The exact position of the recommendation in the profile	Number (integer)

See a snippet of the dataset for reference:

Recommendations

"recommendations_count": 2,
  "recommendations": [
    {
      "recommendation": "“I had the pleasure of collaborating with John during his time at Tech Innovations, where he displayed a rare combination of creativity and technical expertise. He consistently demonstrated outstanding problem-solving skills, particularly in software engineering and AI. His attention to detail and collaborative spirit made him a valuable asset to the team. John is also a great mentor who is always ready to share his knowledge with others, making him a true team player.”",
      "referee_full_name": "Jane Doe 1",
      "referee_url": "https://www.professional_network.com/in/jane-doe-1",
      "order_in_profile": 1
    },
    {
      "recommendation": "“John’s drive and determination have impressed me from our first interaction during a project at Company1 Solutions. He has an extraordinary ability to tackle complex challenges and has a passion for both technology and team collaboration. His contributions were key to the success of several high-profile projects. He is an individual who thrives in dynamic environments and continuously seeks to innovate and improve processes.”",
      "referee_full_name": "Jane Doe 2",
      "referee_url": "https://www.professional_network.com/in/jane-doe-2",
      "order_in_profile": 2
    }
]

Activity

Data point	Description	Data type
activity	User's activity (posts)	Array of structs
activity_url	Post URL	String
title	Post title	String
action	Activity type	String
order_in_profile	The exact position of the activity in the profile	Number (integer)

See a snippet of the dataset for reference:

Activity

"activity": [
    {
      "activity_url": "https://www.professional_network.com/posts/johndoe_ai-innovations-and-the-future-of-tech-activity-1234567890123456789-XYZ",
      "title": "Excited to share my thoughts on the future of AI and its impact on industries worldwide. The advancements in machine learning are opening new doors…",
      "action": "Liked by",
      "order_in_profile": 1
    }
]

Awards

Data point	Description	Data type
awards	Awards held by the person	Array of structs
title	Award title	String
issuer	Award issuer	String
description	Award description	String
date	Award date	String
date_year	Award year	StringNumber (integer)
date_month	Award month	Number (integer)
order_in_profile	The exact position of the award in the profile	Number (integer)

See a snippet of the dataset for reference:

Awards

"awards": [
    {
        "title": "Outstanding Achievement Award",
        "issuer": "Top University",
        "description": "Recognized for exceptional contributions to student initiatives and leadership in organizing university-wide events.",
        "date": "March 15, 2024",
        "date_year": 2024,
        "date_month": 3,
        "order_in_profile": 1
    }
]

Courses

Data point	Description	Data type
courses	Courses	Array of structs
organizer	Course organizer	String
title	Course title	String
order_in_profile	The exact position of the course in the profile	Number (integer)

See a snippet of the dataset for reference:

Courses

"courses": [
    {
        "organizer": "AI Certification",
        "title": "Machine Learning Fundamentals",
        "order_in_profile": 1
    },
    {
        "organizer": "CS Academ",
        "title": "Advanced Algorithms and Data Structures",
        "order_in_profile": 2
    },
]

Certifications

Data point	Description	Data type
certifications	Certifications	Array of structs
title	Certification title	String
issuer	Certification issuer	String
issuer_url	Issuer profile URL	String
credential_id	Credential identification key	String
certificate_url	Certification URL	String
date_from	Certification issue date	String (date)
date_from_year	Issue year	Number (integer)
date_from_month	Issue month	Number (integer)
date_to	Certification expiry date	String (date)
date_to_year	Expiry year	Number (integer)
date_to_month	Expiry month	Number (integer)
order_in_profile	The exact position of the certification in the profile	Number Array

See a snippet of the dataset for reference:

Certifications

"certifications": [
    {
        "title": "Advanced Data Analysis",
        "issuer": "Certification Company 123",
        "issuer_url": "https://www.certificationcompany123.com",
        "credential_id": "EFGH98765432",
        "certificate_url": "https://www.certificationcompany123.com/certificates/f44f9027fba14efb953da9db849e5ed2",
        "date_from": "Nov 2023",
        "date_from_year": 2023,
        "date_from_month": 11,
        "date_to": "Nov 2024",
        "date_to_year": 2024,
        "date_to_month": 11,
        "order_in_profile": 1
    }
]

Languages

Data point	Description	Data type
languages	Language knowledge	Array of structs
language	Listed language	String
proficiency	Language proficiency	String
order_in_profile	The exact position of the language in the profile	Number (integer)

See a snippet of the dataset for reference:

Languages

"languages": [
    {
        "language": "English",
        "proficiency": "Full professional proficiency",
        "order_in_profile": 1
    },
    {
        "language": "Spanish",
        "proficiency": "Limited working proficiency",
        "order_in_profile": 2
    },
    {
        "language": "French",
        "proficiency": "Professional working proficiency",
        "order_in_profile": 3
    }
]

Patents

Data point	Description	Data type
patents_count	Number of authored patents	Number (integer)
patents_topics	Patent topics	Array of strings
patents	Authored patents	Array of structs
title	Patent title	String
status	Patent status	String
description	Patent description	String
patent_url	Patent URL	String
date	Patent filing date	String (date)
date_year	Filling year	Number (integer)
date_month	Filling month	Number (integer)
patent_number	Patent number	String
order_in_profile	The exact position of the patent in the profile	Number (integer)

See a snippet of the dataset for reference:

Patents count

"patents_count": 1,
"patents_topics": "Data Analysis",
"patents": [
    {
        "title": "Advanced Data Analysis Using Neural Networks",
        "status": "Granted",
        "description": "A novel approach to data analysis leveraging deep learning techniques to improve accuracy in predictive modeling and data interpretation.\\n<!---->      </p>",
        "patent_url": "https://example123.com/patent/data-analysis-neural-networks",
        "date": "September 10, 2023",
        "date_year": 2023,
        "date_month": 9,
        "patent_number": "US112233445A1",
        "order_in_profile": 1
    }
]

Publications

Data point	Description	Data type
publications_count	Count of publications authored by the employee	Number (integer)
publications_topics	Publication topics	Array of strings
publications	Authored publications	Array of structs
title	Publication title	String
description	Publication description	String
publication_url	Publication website URL	String
publisher_name	Publication publisher	Array of strings
date	Publication release date	String (date)
date_year	Release year	Number (integer)
date_month	Release month	Number (integer)
order_in_profile	The exact position of the publication in the profile	Number (integer)

See a snippet of the dataset for reference:

Publications

"publications_count": 1,
"publications_topics": [
    "Machine Learning in Healthcare Applications"
],
"publications": [
    {
        "title": "Machine Learning-Based Heart Disease Prediction",
        "description": "This research focuses on utilizing machine learning techniques to predict heart diseases by analyzing EKG signals, a part of my project from June'21 to December'21.\\n<!---->      </p>",
        "publication_url": "https://www.researchpaper123.net/publication/343632915_Machine_Learning",
        "publisher_names": [
            "John Doe",
            "Jane Doe"
        ],
        "date": "December 15, 2021",
        "date_year": 2021,
        "date_month": 12,
        "order_in_profile": 1
    }
]

Projects

Data point	Description	Data type
projects_count	Count of total projects listed in the profile	Number (integer)
projects_topics	Topics related to the projects listed in the profile	Array of strings
projects	Projects created by the profile	Array of structs
name	Project name	String
description	Project description	String
project_url	Project website URL	String
date_from	Project start date	String (date)
date_from_year	Project start year	Number (integer)
date_from_month	Project start month	Number (integer)
date_to	Project end date	String (date)
date_to_year	Project end year	Number (integer)
date_to_month	Project end month	Number (integer)
order_in_profile	The exact position of the project in the profile	Number (integer)

See a snippet of the dataset for reference:

Projects

"projects_count": 1,
"projects_topics": [
    "Predictive Analytics in Complex Systems",
    "Real-time Facial Expression Analysis for Emotional Intelligence Systems",
    "Design and Simulation of Adaptive Actuators for Smart Materials",
    "Audio Signal Separation for Enhanced Speech Recognition",
    "Non-Invasive Glucose Monitoring Using Spectroscopic Data Analysis"
],
"projects": [
    {
        "name": "Predictive Analytics for Fault Detection in Complex Mechanical Systems",
        "description": "As part of a research initiative, a predictive system was developed to identify anomalies in mechanical systems. The project utilized historical failure data and machine learning models.</p>",
        "project_url": "https://www.projecturl123.net/project/123456_Analytics",
        "date_from": "Oct 2018",
        "date_from_year": 2018,
        "date_from_month": 10,
        "date_to": "May 2019",
        "date_to_year": 2019,
        "date_to_month": 5,
        "order_in_profile": 1
    }
]

Organizations

Data point	Description	Data type
organizations	Memberships in organizations	Array of structs
organization_name	Organization title	String
position	Position in the organization	String
description	Description of the activity/experience in the organization	String
date_from	Membership start date	String (date)
date_from_year	Membership start year	Number (integer)
date_from_month	Membership start month	Number (integer)
date_to	Membership end date	String (date)
date_to_year	Membership end year	Number (integer)
date_to_month	Membership end month	Number (integer)
order_in_profile	The exact position of the organization in the profile	Number (integer)

See a snippet of the dataset for reference:

Organizations

"organizations": [
    {
        "organization_name": "Tech Club",
        "position": "Event Coordinator",
        "description": "Led and organized data-driven workshops and events, focusing on data analytics and machine learning applications in various industries.",
        "date_from": "Feb 2016",
        "date_from_year": 2016,
        "date_from_month": 2,
        "date_to": "Mar 2018",
        "date_to_year": 2018,
        "date_to_month": 2,
        "order_in_profile": 1
    }
]