# Dictionary: Clean Employee Data {% hint style="success" %} #### Request access to our full documentation This is a simplified version of our documentation. If you want to: * Access additional data samples * Learn more about our cleaning and enrichment process * Explore the complete list of data sources we offer Contact our team and get access to more information: Contact sales {% endhint %} ## Overview Clean Employee Data provides high-quality, structured workforce data that is ready for immediate use. Our data is meticulously cleaned and enriched, enabling businesses to streamline operations, enhance decision-making, and optimize workforce analysis. By leveraging Clean Employee Data, organizations can reduce engineering overhead, gain access to additional insights, and work with optimized data formats for improved efficiency. The data is available in JSONL, Parquet, and CSV formats, ensuring faster downloads and seamless integration. With flexible retrieval options, including flat file downloads and API access, businesses in sales tech, HR intelligence, and investment sectors can efficiently access the workforce insights they need. Clean Employee Data is derived from our Base Employee Data. {% hint style="info" %} The data fields are separated into collections to visualize the data better. {% endhint %} {% tabs %} {% tab title="Data fields per category" %} 1. [Metadata](#metadata) 2. [Identifiers](#identifiers) 3. [Skills](#skills) 4. [Experience](#experience) 5. [Education](#education) 6. [Hidden collections](#hidden-collections) 7. [Location](#location) 8. [Recommendations and connections](#recommendations-and-connections) 9. [Languages](#languages) 10. [Certifications](#certifications) 11. [Courses](#courses) 12. [Awards](#awards) 13. [Activity](#activity) 14. [Organizations](#organizations) 15. [Patents](#patents) 16. [Publications](#publications) {% endtab %} {% endtabs %} {% hint style="info" %} All personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes. {% endhint %} ## Metadata | Data field | Processing | Description | Data type | | --------------------- | ---------- | ---------------------------------------------------------------------------------------------------------------------------------- | --------- | | `member_last_updated` | Cleaned | Date the record was last updated | String | | `member_is_deleted` | Raw |

Indicates whether the profile was accessible:
1 – deleted or private
0 – publicly available

| Integer | {% code title="Meta data" %} ```json "member_last_updated": "2023-07-29", "member_is_deleted": 0 ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | --------------------- | ---------------------------------------------- | | `member_last_updated` | Value is converted to the *yyyy-mm-dd* format. |
*** ## Identifiers | Data field | Processing | Description | Data type | | -------------------------------------- | ---------- | ------------------------------------------------- | ---------------- | | `member_id` | Raw | Identification key in our database | Integer | | `member_websites_professional_network` | Raw | Professional network profile URL | String | | `member_picture_url` | Raw | Profile picture URL | String | | `member_full_name` | Cleaned | Full name | String | | `member_name_first` | Raw | First name | String | | `member_name_middle` | Enriched | Middle name | String | | `member_name_last` | Enriched | Last name | String | | `member_shorthand_names` | Raw | A list of all historical employee shorthand names | Array of strings | | `member_follower_count` | Raw | Number of profile followers | Integer | | `member_public_profile_id` | Raw | Publicly provided employee URN | String | {% code title="Identifiers" %} ```json "member_id": 4290, "member_full_name": "John Leonardo Doe", "member_name_first": "John", "member_name_middle": "Leonardo", "member_name_last": "Doe", "member_websites_professional_network": "https://www.professional_network.com/in/john-leonardo-doe", "member_picture_url": "https://static.lnk.com/aero-v1/sc/h/9c8pery4andzj6ohjkjp54ma2", "member_shorthand_names": [ "john-lenoardo-doe" ], "member_follower_count": 445, "member_public_profile_id": "123456789", ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `member_full_name` | | | `member_name_middle` | Parsed from `member_full_name`*.* | | `member_name_last` | Parsed from `member_full_name` |
*** ## Skills | Data field | Processing | Description | Data type | | --------------- | ---------- | ------------------------- | ---------------- | | `member_skills` | Enriched | List of employees' skills | Array of strings | {% code title="Skills" %} ```json "member_skills": [ "creative", "design", "electronics", "photography", "programming" ] ``` {% endcode %}
Enriching action | Data field | Enriching action | | --------------- | ------------------------------------------------------------- | | `member_skills` | Enriched with our ML model from different description fields. |
*** ## Experience | Data field | Processing | Description | Data type | | ---------------------------------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------- | | `member_description` | Raw | Job position description | String | | `company_id` | Enriched | Identification key for the company associated with the employee's experience | Integer | | `member_job_title` | Cleaned | Current job position title | String | | `is_decision_maker` | Enriched |

Indicates whether the employee is a decision-maker based on member\_job\_title
1 – Employee is marked as a decision-maker in the current role
0 – Employee is not marked as a decision-maker in the current role

| Integer | | `member_job_description` | Raw | Current job position description | String | | `member_headline` | Raw | Job title found in the profile headline | String | | `member_generated_headline` | Raw |

A user-written headline that can be found in web search, also viewed and other publicly available spaces.
It serves the same purpose as the title but is derived from a different source, potentially providing more accurate and up-to-date profile information.
This field should be used in place title as it reflects the latest user activity.

| String | | `total_experience_duration` | Enriched | Summed up experience (displayed as years and months) | String | | `total_experience_duration_months` | Enriched | Summed up employee experience (displayed as months) | Integer | {% code title="Experience" %} ```json "member_description": "Results-driven professional with extensive experience in supervisory roles, business analysis, project management, and financial analysis. Skilled in managing enterprise-wide implementations of healthcare information systems, with expertise in gathering and defining client data requirements.", "company_id": 1111111, "member_job_title": "Senior Consultant", "is_decision_maker": 1, "member_job_description": "Senior Business analyst @ Company123", "member_headline": "Healthcare Consultant", "member_generated_headline": "Healthcare Consultant at Company 123", "total_experience_duration": "2 years 4 months", "total_experience_duration_months": 28, ``` {% endcode %}
Cleaning and enriching actions | Data field | Cleaning/enriching action | | ---------------------------------- | ----------------------------------------------------------------------- | | `company_id` | Company ID from an active experience record from `member_experience`*.* | | `job_title` | Special characters are removed. | | `total_experience_duration` | Values converted to readable text. | | `total_experience_duration_months` | Field aggregated from `duration`values. |
{% hint style="warning" %} The `member_experience` table is mapped with our historical data due to professional network hiding the work experience on certain employees' profiles. {% endhint %} | Data field | Processing | Description | Data type | | ------------------------ | ---------- | ------------------------------------------------ | ---------------- | | `member_experience` | - | Employee's work experience | Array of objects | | `company_id` | Raw | Workplace (company) identifier in our database | Integer | | `date_from` | Cleaned | Employment start date | String (date) | | `date_from_year` | Cleaned | Employment start year | Integer | | `date_from_month` | Cleaned | Employment start month | Integer | | `date_to` | Cleaned | Employment end date | String (date) | | `date_to_year` | Cleaned | Employment end year | Integer | | `date_to_month` | Cleaned | Employment end month | Integer | | `company_name` | Raw | Employer company | String | | `company_url` | Raw | Employee's workplace URL on professional network | String | | `company_shorthand_name` | - | Shorthand/vanity identifier for the company | String | | `company_website` | Raw | Company website URL | String | | `title` | Raw | Job title | String | | `department` | Enriched | Department the employee works in | String | | `management_level` | Enriched | Employee's management level | String | | `description` | Cleaned | Job description | String | | `order_in_profile` | Raw | Record order as seen on the employee's profile | Integer | | `duration` | Enriched | Employment duration | String (date) | | `duration_months` | Cleaned | Employment duration in months | Integer | | `location` | Cleaned | Job/workplace location | String | | `company_logo_url` | – | URL pointing to the logo of the company/employer | String | {% code title="Experience" %} ```json "member_experience": [ { "company_id": 1774347, "date_from": "2015-10-01", "date_from_year": 2015, "date_from_month": 10, "date_to": "2016-09-01", "date_to_year": 2016, "date_to_month": 9, "company_name": "Company123, Ltd.", "company_url": "https://www.professional_network.com/company/company123", "company_shorthand_name": "company123", "company_website": "https://www.company123.com", "title": "Senior Analyst", "description": "Financialconsulting for a leading manufacturing organizations.", "order_in_profile": 5, "duration": "1 year", "duration_months": 12, "department": "Project Management", "management_level": "Senior", "location": "Jacksonville, Florida Area", "company_logo_url": "https://media.licdn.com/dms/image/v2/example/company-logo" } ], ``` {% endcode %}
Cleaning and enriching actions | Data field | Cleaning/enriching action | | ----------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `date_from` | Value is converted to the *yyyy-mm-dd* format. | |

date\_from\_year,
date\_from\_month

| | | `date_to` | Value is converted to the *yyyy-mm-dd* format. | |

date\_to\_year,
date\_to\_month

| | | `department` | Enriched with our ML model from the `title` value. | | `management_level` | Enriched with our ML model from the `member_job_title` value. | | `description` | | | `duration` | Derived from `date_from` and `date_to` values. | | `duration_months` | Duration converted in numerical value. | | `location` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. |
*** | Data field | Processing | Description | Data type | | ------------------------- | ---------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- | | `member_department` | Enriched | Departments derived from the `member_job_title` | String | | `member_management_level` | Enriched | Management levels identified from the `member_job_title` | String | | `is_working` | Enriched |

Represents if the employee is currently working
0 – the employee is currently not working
1 – the employee is currently working

| Integer | {% code title="Experience" %} ```json "member_department": "Project Management", "member_management_level": "Senior", "is_working": 1 ``` {% endcode %}
Enriching actions | Data field | Cleaning/enriching action | | ------------------------- | ----------------------------------------------------------------- | | `member_department` | Enriched with our ML model from the `member_job_title` value. | | `member_subdepartment` | Enriched with our ML model from the `member_job_title` value. | | `member_management_level` | Enriched with our ML model from the `member_job_title` value. | | `is_working` | Based on `date_to` and `date_from` values of employee experience. |
*** ## Education | Data field | Processing | Description | Data type | | ---------------------------- | ---------- | ----------------------------------------------------------------------------------------------- | ---------------- | | `member_education` | | Employee's education | Array of objects | | `major` | Cleaned | Field of study | String | | `title` | Cleaned | Educational institution | String | | `date_to` | Cleaned | Graduation date | String | | `date_from` | Cleaned | Enrolment date | String | | `institution_url` | Cleaned | Institution's profile URL | String | | `institution_shorthand_name` | – | Shorthand name from the institution profile URL | String | | `institution_logo_url` | – | URL pointing to the logo of the educational institution (university, school, training provider) | String | | `description` | Cleaned | Education description | String | | `activities_and_societies` | Cleaned | Details about activities and societies | String | {% code title="Education" %} ```json "member_education": [ { "major": "Associate's degree, Business Administration and Management", "title": "Business College", "date_to": "2017", "date_from": "2015", "institution_url": "https://www.professional_network.com/school/business-college", "institution_shorthand_name": "business-college", "institution_logo_url": "https://media.licdn.com/dms/image/v2/example/institution-logo", "description": "Attended Business College from 2015 to 2017", "activities_and_societies": "Activities and Societies: Phi Theta Kappa" } ], ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `title` | | | `major` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | | `date_from` | Value is converted to the *yyyy* format. | | `date_to` | Value is converted to the *yyyy* format. | | `institution_url` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | | `description` | | | `activities_and_societies` | |
*** ## Hidden collections | Data field | Description | Data type | | ----------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- | | `is_hidden` |

Marks if the employee profile has a hidden education/experience collection.

0 – education/experience information was available at the time of profile scraping.
1 – education/experience information was not available at the time of profile scraping

| Number (integer) | {% tabs %} {% tab title="is\_hidden + experience" %} {% code title="is\_hidden + experience" %} ```json "is_hidden": 0, "member_experience": [ { "company_id": 23124977, "date_from": "2020-02-01", "date_to": "2020-09-01" }, { "company_id": 3140930, "date_from": "2023-06-01", "date_to": null } ] } ``` {% endcode %} {% endtab %} {% tab title="is\_hidden + education" %} {% code title="is\_hidden + education" %} ```json "member_education": [ { "title": "Harvard Law School", "major": null, "date_from": null, "date_to": null } ], "is_working": 1, ``` {% endcode %} {% endtab %} {% endtabs %} *** ## Location | Data field | Processing | Description | Data type | | ------------------------------- | ---------- | -------------------------------------------------- | --------- | | `member_location_raw_address` | Cleaned | Raw address of the employee's location | String | | `member_location_country` | Cleaned | Country of the employee's location | String | | `member_location_regions` | Cleaned | Geographical regions within the employee's country | String | | `member_location_city` | Cleaned | Employee location city | String | | `member_location_state` | Cleaned | Employee location state | String | | `member_location_country_iso_2` | – | ISO 2-letter code of the location country | String | | `member_location_country_iso_3` | – | ISO 3-letter code of the location country | String | {% code title="Location" %} ```json "member_location_raw_address": "Nashville Metropolitan Area United States", "member_location_country": "United States", "member_location_regions": "Northern America", "member_location_city": "Nashville", "member_location_state": "Tennessee", "member_location_country_iso_2": "US", "member_location_country_iso_3": "USA" ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | ---------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `location_raw_address` | | | `location_country` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. |
*** ## Recommendations and connections | Data field | Processing | Description | Data type | | ------------------------------ | ---------- | ---------------------------------- | ---------------- | | `member_recommendations` | Cleaned | Employee recommendations | Array of objects | | `recommendation` | Cleaned | Recommendation text | String | | `referee_name` | Raw | Referee's name | String | | `referee_url` | Raw | Referee's profile URL | String | | `member_recommendations_count` | Cleaned | Number of received recommendations | Integer | | `member_connections_count` | Raw | Number of employee's connections | Integer | {% code title="Recommendations and connections" %} ```json "member_recommendations": [ { "recommendation": "“John was a great asset in collaborating the tasks in different departments to produce the same goal. He was great at providing advice and asking questions to avoid even a tiny error during the process. Great to work with him!”", "referee_name": "Marry Doe", "referee_url": "www.professional_network.com/in/marry-doe", "order_in_profile": 1 } ], "member_recommendations_count": 1, "member_connections_count": 15535, ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | ------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `member_recommendations` | Deleted rows are filtered out. | | `recommendation` | | | `member_recommendations_count` | |
*** ## Languages | Data field | Processing | Description | Data type | | ------------------ | ---------- | ----------------------------- | ---------------- | | `member_languages` | | Employee's language knowledge | Array of objects | | `language` | Cleaned | Language | String | | `proficiency` | Cleaned | Language proficiency | String | | `order_in_profile` | Raw | Record order in the section | Integer | {% code title="Languages" %} ```json "member_languages": [ { "language": "English", "proficiency": "Intermediate", "order_in_profile": 1 } ], ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | ------------- | -------------------------------------------------------------------------------------------------------------------- | | `language` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | | `proficiency` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. |
*** ## Certifications | Data field | Processing | Description | Data type | | ----------------------- | ---------- | --------------------------------------------------------------------------------------- | ---------------- | | `member_certifications` | | Employee's certifications | Array of objects | | `title` | Cleaned | Language | String | | `issuer` | Cleaned | Language proficiency | String | | `credential_id` | Cleaned | Record order in the section | String | | `certificate_url` | Cleaned | Certificate URL | String | | `certificate_logo_url` | – | URL pointing to the logo of the certification provider (AWS, Microsoft, Coursera, etc.) | String | | `date_from` | Cleaned | Issue date | String | | `date_to` | Cleaned | Expiration date | String | | `issuer_url` | Cleaned | Issuer profile URL | String | | `order_in_profile` | Raw | Section record order | Integer | | `date_from_year` | Cleaned | Issue year | Integer | | `date_from_month` | Cleaned | Issue month | Integer | | `date_to_year` | Cleaned | Expiration year | Integer | | `date_to_month` | Cleaned | Expiration month | Integer | {% code title="Certifications" %} ```json "member_certifications": [ { "title": "Data Analysis Certification B4", "issuer": "Data School123", "credential_id": "1345", "certificate_url": "http://data-analysis-certification-school123.com/verify?trk=public_profile_certification-title", "certificate_logo_url": "https://media.licdn.com/dms/image/v2/example/certificate-logo", "date_from": "2021-06-01", "date_to": "2024-06-01", "issuer_url": "https://www.professional_network.com/company/data-school-123", "order_in_profile": 1, "date_from_year": 2021, "date_from_month": 6, "date_to_year": 2024, "date_to_year": 6 } ], ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | ---------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | | `title` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | | `issuer` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | | `date_from` | Value is converted to the *yyyy-mm-dd* format. | | `date_to` | Value is converted to the *yyyy-mm-dd* format. | | `issuer_url` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | |

date\_from\_year,
date\_to\_year

| Year value from `date` is converted to an integer. | |

date\_from\_month,
date\_to\_month

| Month value from `date` is converted to an integer. |
*** ## Courses | Data field | Processing | Description | Data type | | ------------------ | ---------- | --------------------------- | ---------------- | | `member_courses` | | Attended courses | Array of objects | | `organizer` | Cleaned | Course organizer | String | | `title` | Cleaned | Course title | String | | `order_in_profile` | Raw | Record order in the section | Integer | {% code title="Courses" %} ```json "member_courses": [ { "organizer": "IT Academy", "title": "Microsoft Certified Excel Expert", "order_in_profile": 1 } ], ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | ----------- | -------------------------------------------------------------------------------------------------------------------- | | `organizer` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | | `title` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. |
*** ## Awards | Data field | Processing | Description | Data type | | ------------------ | ---------- | -------------------- | ---------------- | | `member_awards` | | Held awards | Array of objects | | `title` | Cleaned | Award | String | | `issuer` | Cleaned | Award issuer | String | | `description` | Cleaned | Award description | String | | `date` | Cleaned | Issue date | String | | `order_in_profile` | Raw | Section record order | Integer | | `date_year` | Cleaned | Issue year | Integer | | `date_month` | Cleaned | Issue month | Integer | | `date_day` | Cleaned | Issue day | Integer | {% code title="Awards" %} ```json "member_awards": [ { "title": "Certified in Inventory Management", "issuer": "School of Operations Management", "description": "Certification in Production and Inventory Management", "date": "2001-01-01", "order_in_profile": 5, "date_year": 2001, "date_month": 1, "date_day": 1 } ], ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | ------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `title` | | | `issuer` | Values *\["None"; "Unknown"; "NaN"; "nan"; "na"; "null"; "Null"; "NULL"; "-"; "--"]* are replaced with value `None`. | | `date` | Value is converted to the *yyyy-mm-dd* format. | | `date_year` | Year value from `date` is converted to an integer. | | `date_month` | Month value from `date` is converted to an integer. |
*** ## Activity | Data field | Processing | Description | Data type | | ------------------ | ---------- | ---------------------------------------------- | ---------------- | | `member_activity` | | Interaction with posts on professional network | Array of objects | | `activity_url` | Raw | Post URL | String | | `title` | Cleaned | Post title | String | | `action` | Cleaned | Interaction type | String | | `order_in_profile` | Raw | Section record order | Integer | {% code title="Activity" %} ```json "member_activity": [ { "activity_url": "https://www.professional_network.com/posts/company123-incorporated_healthcare-laborproductivity-activity-7161365554581172224-XUpZ", "title": "Company 123 is excited to introduce our Team Spotlight featuring John Doe! @Health Systems, Ltd #Healthcare #LaborProductivity", "action": "Liked by", "order_in_profile": 1 } ], ``` {% endcode %}
Cleaning actions | Data field | Cleaning action | | ----------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |

title

| |
## Organizations | Data field | Description | Data type | | ---------------------- | ---------------------------------------------------------- | ---------------- | | `member_organizations` | Memberships in organizations | Array of structs | | `organization` | 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_from_year` | Membership start year | Integer | | `date_from_month` | Membership start month | Integer | | `date_to` | Membership end date | String | | `date_to_year` | Membership end year | Integer | | `date_to_month` | Membership end month | Integer | | `order_in_profile` | The exact position of the organization in the profile | Integer | {% code title="Organizations" %} ```json "member_organizations": [ { "organization": "Example Organization", "position": "Lead Software Engineer", "description": "Led a team of developers providing great services.", "date_from": "2019-06", "date_from_year": 2019, "date_from_month": 6, "date_to": "2023-09", "date_to_year": 2023, "date_to_month": 9, "order_in_profile": 1 } ], ``` {% endcode %} *** ## Patents | Data field | Description | Data type | | ------------------------------ | ----------------------------------------------- | ---------------- | | `member_patents` | Authored patents | Array of structs | | `title` | Patent title | String | | `status` | Patent status | String | | `inventors` | Inventors of the patent | Array of structs | | `full_name` | Full name of the inventor | String | | `profile_url` | Profile URL | String | | `order_in_profile` | Order in profile | Integer | | `date` | Patent filing date | String | | `date_year` | Filling year | Integer | | `date_month` | Filling month | Integer | | `date_day` | Filling day | Integer | | `patent_url` | Patent URL | String | | `description` | Patent description | String | | `patent_or_application_number` | Patent or application number | String | | `order_in_profile` | The exact position of the patent in the profile | Integer | {% code title="Patents" %} ```json "member_patents": [ { "title": "Data Synchronization System", "status": "Granted", "inventors": [ { "full_name": "John Doe", "profile_url": "https://www.professional-network.com/profile/johndoe", "order_in_profile": 1 }, { "full_name": "Jane Smith", "profile_url": "https://www.professional-network.com/profile/janesmith", "order_in_profile": 2 } ], "date": "2022-01-01", "date_year": 2022, "date_month": 1, "date_day": 1, "patent_url": "https://wwww.patents.example.com/US1234567", "description": "A method for efficient synchronization of distributed systems in real-time environments.", "patent_or_application_number": "US1234567B2", "order_in_profile": 1 } ``` {% endcode %} *** ## Publications | Data field | Description | Data type | | --------------------- | ---------------------------------------------------- | ---------------- | | `member_publications` | Memberships in organizations | Array of structs | | `title` | Publication title | String | | `publisher` | Publisher name | String | | `date` | Publication release date | String | | `date_year` | Release year | Integer | | `date_month` | Release month | Integer | | `date_day` | Release day | Integer | | `description` | Publication description | String | | `authors` | Authors of the publication | Array of structs | | `full_name` | Full name of the author | String | | `profile_url` | Profile URL | String | | `order_in_profile` | Order in the profile | Integer | | `publication_url` | Publication website URL | String | | `order_in_profile` | The exact position of the publication in the profile | Integer | {% code title="Publications" %} ```json "member_publications": [ { "title": "Microservices Architecture in Cloud Environments", "publisher": "Journal of Software Systems", "date": "2024-08-01", "date_year": 2024, "date_month": 8, "date_day": 1, "description": "An in-depth analysis of architectural patterns and scalability challenges in cloud-native microservices.", "authors": [ { "full_name": "John Doe", "profile_url": "https://www.professional-network.com/profile/johndoe", "order_in_profile": 1 } ], "publication_url": "https://www.publications.example.com/microservices-architecture", "order_in_profile": 1 } ] } ``` {% endcode %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.coresignal.com/employee-data/clean-employee-data/dictionary-clean-employee-data.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.