VT Census Case Studies : Monster Resume Database

Created and last modified by ziemer on 11 Jun 2015

Brief Overall Description of the Dataset:

Data includes any information job seekers/recruiters for jobs choose to put on the website. We may be able to create an employer account, then screen scrape Monster’s database for peoples’ information. Can screen scrape for job postings without paying anything.

Link: http://hiring.monster.com/?re=swoop&WT.mc_n=skr_nhp_emp_head&intcid=skr_nhp_h1 

Date Inventory Completed: 6/4/15

Screening

  • Is the data collected opinion-based?
  • Is the data collection recurring (must be collected at least annually)?
  • Is there data available for 2013?
  • For Education: Is the data collected at least the school level? 
  • Can we access the data by August 15th?
  • Can the data be linked to other education/workforce datasets (e.g., K-12, higher education, workforce)?

Purpose

  • What is the purpose of the organization collecting the data?

To provide employers and potential employees with a connection for getting jobs.

  • Why is it collected and how does the organization use it?

Collected so employers can search for people, people can search for jobs

  • Who else uses the data?

Employers and employees

  • Who do they sell the data to?

Employers can pay to get access to the database


Method

  • What is the data collection method? 

Individual posts

  • What is the type of data collected? 

Observation data

  • If designed, who created the questions?

N/A

  • What is the raw source of the collected data (prior to any aggregation)? 

Individual web posts


Description

  • What is the general topic of the data (1-2 words)?

Workforce

  • What are the earliest and latest dates for which data is available?

N/A

  • Is data collected and available periodically?

Not periodically, but whenever someone joins or updates information.

  • How soon after a reference period ends can a data source be prepared and provided? 

Instantly


Selectivity (conversely, the representativeness)

  • What is the universe (e.g., population) that the data represents (consider inclusion/exclusion criteria)?

Job seekers and employers who choose to post on the site.


Accessibility

  • How is the data accessed?

Online

  • Is it open data?

Job posting are, but employee information is not.

  • Any legal, regulatory, or administrative restrictions on accessing the data source?

Must purchase an employer account in order to gain access to job-seeker information.

  • Cost? - One time or annual or project based payment?

Varying cost depending on how many job postings/how many days of database access the employer wants

Does this dataset appear to meet our needs for the Census study? UNDECIDED

Full Inventory

Description

  • What is the general contents of the data source?

Workforce

  • What unit is represented at the record level of the data source? 

Individual

  • Features
    • What is the temporal nature of the data: longitudinal, time-series, or one time point?

N/A

    • Geospatial? If Yes, at what level?

As much as people choose to reveal.

 

Metadata

  • Is there information available to assess the transparency and soundness of the methods to gather the data for our purposes?

No

  • Is there a description of each variable in the source along with their valid values?

No

  • Are there unique IDs for unique elements that can be used for linking data?

No

  • Is there a data dictionary or codebook?

No

 

Selectivity (conversely, the representativeness)

  • Does this universe match the stated intentions for the data collection? If not, what has been included or excluded and why.

 No, only employers and job-seekers who choose to post on Monster are represented. Individuals who choose not to post are excluded.

  • What is the sampling technique used (if applicable)? 

N/A

  • What was the coverage (e.g. response rate)?

N/A


Stability/Coherence

  • Were there any changes to the universe of data being captured (including geographical areas covered) and if so what were they?

Unknown

  • Were there any changes in the data capture method and if so what were they? (e.g., revised questions, data collection mode, classification categories, algorithms for social media data)

Unknown

  • Were there any changes in the sources of data and if so what were they? 

Unknown

 

Accuracy

  • Any known sources of error?

People can lie about their qualifications, etc

  • Describe any quality control checks performed by the data’s owner.

N/A

 

Accessibility

  • Any records or fields collected, but not included in data source, such as for confidentiality reasons)? 

N/A

  • Is there a subset of variables and/or data that is must be obtained through a separate process? (e.g. state level data openly available, but one must apply to get census tract)? If yes, is there a separate legal, regulatory, or administrative restrictions on accessing the data source? Cost? - One time or annual or project based payment?

Unknown

 

Privacy and security

  • Was consent given by participant? If so, how was consent given?

By accepting Monster’s terms of use

  • Are there legal limitations or restrictions on the use of the data? 

Potentially--would have to read Monster’s terms of use for employers

  • What confidentiality policies does the source have? 

Monster says they won’t give out individual data except for to employers searching for employees.

 

Research

  • What research has been done with this dataset? (e.g., impact of policies, predictors of student success)

Unknown

  • Include any links to research if provided:

N/A

  • List any other data use notes provided by the supplier.