Open Government Transparency Search for peter allen in us

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Peter O Allen retired from North Reading Public Schools in 2016, receiving an annual pension of $8602.32. His monthly pension is $716.86 and his retirement date was March 18, 2016. Peter's employee record ID is 301099 and the transaction number associated with his pension is 64134300.

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Total datasets: 1 load time 0.05 min

ALLPENSIONS null 2016-11-30T18:14:04.000Z Search

{"serviceMillis":52,"searchMillis":[17,16]}

annual_pensiontitle_at_retirementdate_of_retirementfirst_namelast_nameyeartrans_nodepartment_last_worked_inmonthly_pensionperson_id
8602.32 2016-03-18T00:00:00.000PETER O ALLEN 201664134300NORTH READING PUBLIC SCHOOLS 716.86301099
63715.20CORRECTION OFFICER III2005-05-01T00:00:00.000PETERALLEN201629498796CENTRAL RESEARCH - CORRECTION5309.60138491


  data:
    [
   {
      "annual_pension": "8602.32",
      "title_at_retirement": "                    ",
      "date_of_retirement": "2016-03-18T00:00:00.000",
      "first_name": "PETER O                       ",
      "last_name": "ALLEN                         ",
      "year": "2016",
      "trans_no": "64134300",
      "department_last_worked_in": "NORTH READING PUBLIC SCHOOLS            ",
      "monthly_pension": "716.86",
      "person_id": "301099"
   },
   {
      "type_of_retirement": "AD",
      "annual_pension": "63715.20",
      "agency_last_worked_in": "182",
      "creditable_service": "280824.00",
      "average_salary": "70476.60",
      "title_at_retirement": "CORRECTION OFFICER III",
      "date_of_retirement": "2005-05-01T00:00:00.000",
      "first_name": "PETER",
      "last_name": "ALLEN",
      "year": "2016",
      "trans_no": "29498796",
      "age_at_retirement": "50",
      "department_last_worked_in": "CENTRAL RESEARCH - CORRECTION",
      "monthly_pension": "5309.60",
      "person_id": "138491",
      "middle_initial": "E"
   }
]

  keys:
    [
   "annual_pension",
   "title_at_retirement",
   "date_of_retirement",
   "first_name",
   "last_name",
   "year",
   "trans_no",
   "department_last_worked_in",
   "monthly_pension",
   "person_id"
]
    

directoryQuery: https://api.us.socrata.com/api/catalog/v1?ids=3zah-qrsj&limit=100

permalink: https://cthru.data.socrata.com/d/3zah-qrsj

dataQuery: https://cthru.data.socrata.com/resource/3zah-qrsj.json?$select=type_of_retirement%2Cannual_pension%2Cagency_last_worked_in%2Ccreditable_service%2Caverage_salary%2Ctitle_at_retirement%2Cdate_of_retirement%2Cfirst_name%2Clast_name%2Cyear%2Ctrans_no%2Cage_at_retirement%2Cdepartment_last_worked_in%2Cmonthly_pension%2Cperson_id%2Cmiddle_initial&$order=first_name%20desc&$limit=10&$offset=0&$q=peter%20allen

Sites such as socrata.com appear to be tools to bring transparency to our governments. But what do they actually do in practice. This site attempts to use socrata.com (and hopefully all other "open transparency sites") to understand what the state of affairs are at the moment.

A summary view of the catalog when you filter for the word salary shows the lack of standarization.

Employee Salaries This dataset provides base salary information abou... Ramona Benson, Department of Human Resources Search
Current Employee Names, Salaries, and Position Tit... This dataset is a listing of all active City of Ch... City of Chicago Search
Budget - Salaries Budgeted Salaries by Position null Search
State of Vermont Employee Salaries Salary information for State of Vermont active emp... Department of Human Resources Search
Title and Salary Listing The Title and Salary Listing is a compilation of j... New York State Department of Civil Service Search
    

The screenshot shows a sample of name and descriptions of government uploaded salary transparency information. First of all, the information appears to be not easy to find for the general public. And even if the general public finds it, it is hard to tell what government it applies to. For example, there are datasets that simply have the name "Employee Salaries" and some that have no attribution at all. The column names are a mix of whatever the hundreds of individuals decided to use. This makes organization difficult, but not impossible.

Let's organize the information and overcome the obstacles!

Socrata Meta Catalog API

The Socrata Meta Catalog API provides access to metadata about the datasets and tables available on the Socrata Open Data Portal.

Getting Started

  1. Create a Socrata developer account at https://dev.socrata.com.
  2. Get an API access token from the API Access Tokens page.
  3. Send a GET request to the /catalog/v1 endpoint with the following parameters:

For example, the following request will return a list of all the datasets available on the City of Boston's Open Data Portal:

GET https://data.boston.gov/catalog/v1?access_token=YOUR_ACCESS_TOKEN

The response will be a JSON object containing an array of dataset objects. Each dataset object will contain the following properties:

Using the API

The Socrata Meta Catalog API can be used to perform a variety of tasks, such as: For more information on how to use the API, please refer to the Socrata Meta Catalog API documentation.

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    debug: columns: name:
    [
   "AGE AT RETIREMENT",
   "AGENCY LAST WORKED IN",
   "ANNUAL PENSION",
   "AVERAGE SALARY",
   "CREDITABLE SERVICE",
   "DATE OF RETIREMENT",
   "DEPARTMENT LAST WORKED IN",
   "FIRST NAME",
   "LAST NAME",
   "MIDDLE INITIAL",
   "MONTHLY PENSION",
   "PERSON ID",
   "TITLE AT RETIREMENT",
   "TRANS NO",
   "TYPE OF RETIREMENT",
   "YEAR"
]

    debug: columns: type:
    [
   "Calendar date",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Text",
   "Text",
   "Text",
   "Text",
   "Text",
   "Text",
   "Text"
]