Open Government Transparency Search for elaine alpert in us

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Preview of information for elaine alpert in us

Elaine D. Alpert, a Human Services Coordinator (A/B), retired on September 22, 2013, at the age of 56. She had worked for the Westborough State Hospital under agency 1115 and had accumulated 340,205.00 in creditable service. Her average salary was $59,365.38, and her annual pension is $43,374.60, which translates to a monthly pension of $3,614.55. Her PERSON ID is 181708, and her TRANS NO is 38704017. Her type of retirement is SA, and this information is for the year 2016.

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Total datasets: 1 load time 0.07 min

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

{"serviceMillis":47,"searchMillis":[18,7]}

person_idcreditable_servicedepartment_last_worked_inagency_last_worked_intrans_noannual_pensionyearlast_namefirst_namedate_of_retirementtitle_at_retirementaverage_salaryage_at_retirementmonthly_pensiontype_of_retirementmiddle_initial
181708340205.00WESTBOROUGH STATE HOSPITAL11153870401743374.602016ALPERTELAINE2013-09-22T00:00:00.000HUMAN SERVICES COORD (A/B)59365.38563614.55SAD


  data:
    [
   {
      "person_id": "181708",
      "creditable_service": "340205.00",
      "department_last_worked_in": "WESTBOROUGH STATE HOSPITAL",
      "agency_last_worked_in": "1115",
      "trans_no": "38704017",
      "annual_pension": "43374.60",
      "year": "2016",
      "last_name": "ALPERT",
      "first_name": "ELAINE",
      "date_of_retirement": "2013-09-22T00:00:00.000",
      "title_at_retirement": "HUMAN SERVICES COORD (A/B)",
      "average_salary": "59365.38",
      "age_at_retirement": "56",
      "monthly_pension": "3614.55",
      "type_of_retirement": "SA",
      "middle_initial": "D"
   }
]

  keys:
    [
   "person_id",
   "creditable_service",
   "department_last_worked_in",
   "agency_last_worked_in",
   "trans_no",
   "annual_pension",
   "year",
   "last_name",
   "first_name",
   "date_of_retirement",
   "title_at_retirement",
   "average_salary",
   "age_at_retirement",
   "monthly_pension",
   "type_of_retirement",
   "middle_initial"
]
    

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?$select=person_id%2Ccreditable_service%2Cdepartment_last_worked_in%2Cagency_last_worked_in%2Ctrans_no%2Cannual_pension%2Cyear%2Clast_name%2Cfirst_name%2Cdate_of_retirement%2Ctitle_at_retirement%2Caverage_salary%2Cage_at_retirement%2Cmonthly_pension%2Ctype_of_retirement%2Cmiddle_initial&$order=last_name%20desc&$limit=10&$offset=0&$q=elaine%20alpert

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
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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.

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  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:

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

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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"
]