Volunteer Credential Compliance Tracker

This dataset provides a comprehensive, flat-structured record of volunteer credentialing and compliance for nonprofits, including onboarding, background checks, training, and licensing. It enables automated tracking of regulatory requirements, real-time compliance alerts, and audit readiness, supporting secure and efficient volunteer management. Ideal for organizations seeking to minimize risk and ensure all volunteers meet necessary standards.

  • last updated 27 Dec 2025
  • by GoMask
The brief that made it

Automated compliance monitoring and alerting for volunteer programs

Sample rows

preview · 8 of 65 rows · all 27 columns
volunteer_idstringbackground_check_statusstringtraining_completedbooleanlicense_typestringfirst_namestringlast_namestringphone_numberstringdate_of_birthdateaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringonboarding_datedateactive_statusbooleanbackground_check_datedatebackground_check_expirydatetraining_completion_datedatetraining_expiry_datedatelicense_requiredbooleanlicense_numberstringlicense_issue_datedatelicense_expiry_datedatelast_audit_datedatecompliance_alertbooleanemailstringcompliance_notesstring
V001passedtrueRNMarieStone+1-415-984-20221989-04-181216 Willow LaneSan FranciscoCA94117USA2023-09-10true2023-09-092025-09-092023-09-102025-09-10trueCA2398762021-08-152025-08-152024-02-25falsemarie.stone.001@volunteerconnect.orgblank
V002passedtrueblankAlbertoRamirez+1-303-772-44321996-11-024824 Ridgeview AveDenverCO80205USA2024-03-04true2024-02-282026-02-282024-03-032025-03-03falseblankblankblank2024-03-26falsealberto.ramirez.002@volunteerconnect.orgblank
V003passedtrueCNAPriyaPatel+1-973-552-82111977-09-1388 Northwood DrEdisonNJ08817USA2023-06-21true2023-06-202025-06-202023-06-222025-06-22trueNJ4839202021-08-102025-08-102024-01-19falsepriya.patel.003@volunteerconnect.orgblank
V004expiredtrueblankJamalHarris+1-216-378-11151985-02-0716 Oakwood CtClevelandOH44106USA2022-10-05false2022-10-052023-10-052022-10-062024-10-06falseblankblankblank2024-03-01truejamal.harris.004@volunteerconnect.orgBackground check expired
V005passedtrueblankLiWang+1-206-445-22381992-07-251556 Pine StSeattleWA98101USA2023-11-19true2023-11-182025-11-182023-11-202025-11-20falseblankblankblank2024-02-14falseli.wang.005@volunteerconnect.orgblank
V006passedtrueblankJessicaBaker+1-703-212-92512000-10-30517 Cedar AveArlingtonVA22207USA2024-04-02true2024-03-302026-03-302024-04-012026-04-01falseblankblankblank2024-04-15falsejessica.baker.006@volunteerconnect.orgblank
V007failedfalseblankMohammedAl-Hashimiblank1995-03-0123 Elm DrHoustonTX77005USA2023-07-25false2023-07-24blankblankblankfalseblankblankblank2024-03-10truem.alhashimi.007@volunteerconnect.orgBackground check failed; training incomplete
V008expiredtrueLPNSofiaMartinez+1-813-255-66571982-12-197624 Palm AveTampaFL33602USA2021-05-10false2021-05-102023-05-102021-05-112023-05-11trueFL7214892021-04-202023-04-202023-06-30truesofia.martinez.008@volunteerconnect.orgExpired credentials

What the 65 rows show

from the 65-row sample

Passed (background check status) stands out: 38 of its 38 rows have training_completed = true, against 5 of 27 for the rest.

Training completed rate by background_check_statustraining_completed = true
0%50%100%0%pending0 of 8100%passed38 of 380%failed0 of 742%expired5 of 12
license_type18 rows with a value · 47 left blank
  1. RN6
  2. CNA3
  3. LCSW3
  4. LPN2
  5. EMT2
  6. MSW1
  7. PT1
27 columns by typefrom the column list below
  • string 14
  • date 9
  • boolean 4

Columns

27 columns in three groups
blueprint · 27 columns
columntypedescriptionexample
Text 14 columns
volunteer_idstringUnique identifier for each volunteeruniqueV001
first_namestringVolunteer’s first nameMarie
last_namestringVolunteer’s last nameStone
emailstringVolunteer’s email addressuniquemarie.stone.001@volunteer…
phone_numberstringVolunteer’s primary contact phone numberoptional+1-415-984-2022
address_streetstringVolunteer’s street addressoptional1216 Willow Lane
address_citystringVolunteer’s cityoptionalSan Francisco
address_statestringVolunteer’s state or provinceoptionalCA
address_postal_codestringVolunteer’s postal or ZIP codeoptional94117
address_countrystringVolunteer’s countryoptionalUSA
background_check_statusstringCurrent status of the volunteer’s background checkpending · passed · failed · expiredpassed
license_typestringType of license required (if applicable)7 types · optionalRN
license_numberstringProfessional license number (if applicable)optionalCA239876
compliance_notesstringAdditional notes regarding compliance status or issuesoptionalBackground check expired
Dates and times 9 columns
date_of_birthdateVolunteer’s date of birthoptional1989-04-18
onboarding_datedateDate the volunteer began onboarding2023-09-10
background_check_datedateDate of the most recent background checkoptional2023-09-09
background_check_expirydateDate when the background check expiresoptional2025-09-09
training_completion_datedateDate when training was completedoptional2023-09-10
training_expiry_datedateDate when training certification expires (if applicable)optional2025-09-10
license_issue_datedateDate the license was issuedoptional2021-08-15
license_expiry_datedateDate the license expiresoptional2025-08-15
last_audit_datedateDate of the last compliance audit for this volunteeroptional2024-02-25
True or false 4 columns
active_statusbooleanIndicates if the volunteer is currently activetrue
training_completedbooleanIndicates if all required training modules have been completedtrue
license_requiredbooleanIndicates if a professional license is required for the volunteer’s roletrue
compliance_alertbooleanIndicates if there is an active compliance alert for this volunteerfalse

Use it for

  • training compl…66%43 of 65 rowstraining completed by…0%pend…100%pass…0%fail…42%expi…

    A human resources dashboard

    The training_completed rate, training_completed by background_check_status and a breakdown of license_type. Excel, Power BI or Tableau.

  • Why do 43 of 65 rows have training_completed = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable volunteers with first_name, last_name and email to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 27 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

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This dataset65 rows27 columns
Yours1,000 rows27 columnsaddress_street: UK only

blueprint · volunteer-credential-compliance-tracker

Behind this dataset

Same schema. As many rows as you need.

These 65 rows came out of a blueprint — 27 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each volunteer must have a unique identifier
  • Credential types include background check, training, certification, and reference
  • Credential status must be one of: Valid, Expired, Pending, Missing
  • Volunteers with 'Expired' or 'Missing' credential status cannot be assigned to projects
  • Credential expiration dates must be in the future for valid records
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
volunteer-credential-compliance-tracker

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