Difference between revisions of "Hubs: Hubs Data"

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===Group 2===
 
===Group 2===
'''Variables Comfortable, Not Complete'''
+
'''Variables Comfortable, Not Complete''' (rough order of most difficult to least difficult)
#'''Size (# companies)'''
+
#'''Size (# members)'''
 +
#*'''Levels:''' Count for companies (currently not planning to include list of companies given that some potential hubs have 200+ members)
 +
#*'''Difficulty:''' Some companies don’t list all members - only selective ones-, others do not separate current members and alumni, and some just write "we have served more than 120 startups..."
 +
#*'''Approach:''' For companies that have a list, we will count.  For those with select members, we will count those they listed and try to see if there is a comment about how many they have.  For those that just have a statement "with over," we will write the number and + (e.g. "120+).
  
 +
 +
 +
#'''Office hours investors''' and '''Office hours mentor/advisors'''
 +
#*'''Levels:''' Binary for OH, binary for two separate OH, list of names/descriptions of OH
 +
#*'''Difficulty:''' Some companies do not list who OH are with, not always obvious if investor, mentor, or advisor, sometimes not clear if mentor is investor/future investor
 +
#*'''Approach:''' Google approach to get to OH pages and then lookup key words in description to separate out
 +
 +
 +
 +
#'''Sponsors/Partners''' (University, Corporate)
 +
#*'''Levels:''' Count, list of sponsors/partners (if exist), separate columns for university and corporate
 +
#*'''Difficulty:''' Not all companies will list sponsors, partnesrs, or either
 +
#*'''Approach:''' Use two different levels and use of google search, then if list exists, separate by "college"/"university" and rest
  
 
#'''Onsite Mentors'''
 
#'''Onsite Mentors'''
#'''Office hours investors'''
+
#*'''Levels:''' Count and list of mentors (if exist)
#'''Office hours mentor/advisors'''
+
#*'''Difficulty:''' Not all companies list mentors
#'''Sponsors/Partners'''
+
#*'''Approach:''' Use two different levels and use of google search
#*University
+
 
#*Corporate
+
 
 +
 
 +
 
 
#'''Community membership?'''
 
#'''Community membership?'''
 +
#*''Levels:''
 +
#*''Difficulty:''
 +
#*'''Approach:'''
 +
 +
 +
 
#'''Onsite temporary workshops and Networking Meetups''' (Count)
 
#'''Onsite temporary workshops and Networking Meetups''' (Count)
#*
+
#*'''Levels:'''
#*Levels:  
+
#*'''Difficulty:'''
 +
#*'''Approach:'''
 +
 
 
#'''Curriculum'''
 
#'''Curriculum'''
 +
#*'''Levels:'''
 +
#*'''Difficulty:'''
 +
#*'''Approach:'''
 +
 +
 
#'''Onsite code school'''
 
#'''Onsite code school'''
 +
#*'''Levels:'''
 +
#*'''Difficulty:'''
 +
#*'''Approach:'''
 +
 +
 
#'''Alumni Network'''
 
#'''Alumni Network'''
 +
#*'''Levels:'''
 +
#*'''Difficulty:'''
 +
#*'''Approach:'''
 +
 
#'''Size (sqft)'''
 
#'''Size (sqft)'''
 +
#*'''Levels:'''
 +
#*'''Difficulty:'''
 +
#*'''Approach:'''
  
 
#'''Onsite accelerator'''
 
#'''Onsite accelerator'''
 +
#*'''Levels:'''
 +
#*'''Difficulty:'''
 +
#*'''Approach:'''
  
 
===Group 3===
 
===Group 3===

Revision as of 11:30, 26 July 2016

List of Variables

For a more in-depth of the variables and procedure please see: Hubs: Mechanical Turk. This page will reflect the variables being collected separated into three categories. Each variable will include a breakdown of levels being collected if the definition is not trivial and an approximate approach.

As of Week of 7/25

Group 1

Variables Difficult to Obtain

  1. Founding Date
    • Difficulty: Finding date based on our strategies
    • New Approach:
      1. Whois.net Date
      2. Factavia/other press release searches
  2. Multiple locations within city + Franchise (as of now just addresses)
    • Difficulty: Company or establishment level will impact measurements
    • New Approach: Will record all addresses at company level
  3. Onsite Venture Capital v. Angel Investors (e.g. # and Assets Under Management)
    • Levels: Binary, list of investors
    • Difficulty: Hub website usually does not include investors
    • New Approach:
      1. Google key terms with address of Hub
      2. Start with partners and use google/crunchbase

Group 2

Variables Comfortable, Not Complete (rough order of most difficult to least difficult)

  1. Size (# members)
    • Levels: Count for companies (currently not planning to include list of companies given that some potential hubs have 200+ members)
    • Difficulty: Some companies don’t list all members - only selective ones-, others do not separate current members and alumni, and some just write "we have served more than 120 startups..."
    • Approach: For companies that have a list, we will count. For those with select members, we will count those they listed and try to see if there is a comment about how many they have. For those that just have a statement "with over," we will write the number and + (e.g. "120+).


  1. Office hours investors and Office hours mentor/advisors
    • Levels: Binary for OH, binary for two separate OH, list of names/descriptions of OH
    • Difficulty: Some companies do not list who OH are with, not always obvious if investor, mentor, or advisor, sometimes not clear if mentor is investor/future investor
    • Approach: Google approach to get to OH pages and then lookup key words in description to separate out


  1. Sponsors/Partners (University, Corporate)
    • Levels: Count, list of sponsors/partners (if exist), separate columns for university and corporate
    • Difficulty: Not all companies will list sponsors, partnesrs, or either
    • Approach: Use two different levels and use of google search, then if list exists, separate by "college"/"university" and rest
  1. Onsite Mentors
    • Levels: Count and list of mentors (if exist)
    • Difficulty: Not all companies list mentors
    • Approach: Use two different levels and use of google search



  1. Community membership?
    • Levels:
    • Difficulty:
    • Approach:


  1. Onsite temporary workshops and Networking Meetups (Count)
    • Levels:
    • Difficulty:
    • Approach:
  1. Curriculum
    • Levels:
    • Difficulty:
    • Approach:


  1. Onsite code school
    • Levels:
    • Difficulty:
    • Approach:


  1. Alumni Network
    • Levels:
    • Difficulty:
    • Approach:
  1. Size (sqft)
    • Levels:
    • Difficulty:
    • Approach:
  1. Onsite accelerator
    • Levels:
    • Difficulty:
    • Approach:

Group 3

Variables Easy to Obtain

  1. Twitter activity
    • Levels: Twitter Handle, # Tweets in a Month, # Followers, # Retweets
    • Approach: Easy to get twitter handle from Turk or Veeral's code that allows us to run a series of searches on google and then use Gunny's Twitter crawler to get other levels from handle
  2. Site URL
    • Level: URL
    • Approach: Google using Veeral's code that allows us to search
  3. Address
    • Level: Will include all addresses
    • Approach: Google key terms (e.g. Contact Us) and URL using Veeral's code
  4. Nonprofit status
    • Level: Binary variable indicating if the potential Hub is a nonprofit organization
    • Approach: http://www.guidestar.org/ is a site that we can use to search if a company is nonprofit or not
  5. Mission statement
    • Level: Official mission statement or description of company (if mission does not exist)
    • Approach: If not explicitly stated mission statement, will include "About" or statements on main page
  6. Specific Industry
    • Level: Industry included in statement (no aggregation)
    • Approach: *Based on Mission Statement, not aggregated
  7. Price for a space/office
    • Level: Two prices one for shared, other for private
    • Approach: Uses google methodology with key terms and URL