Hubs: Hubs Data

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Revision as of 11:50, 26 July 2016 by ToddR (talk | contribs) (→‎Group 2)
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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. Onsite accelerator
    • Levels: Binary, count, list
    • Difficulty: Usually not a list, which requires more scrubbing as many other variables just require us to find one page on a website.
    • Approach:
      1. Google searches and procedure to use on website yields decent results
      2. Similar procedure to onsite investors
  2. 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+).
  3. 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
  4. Onsite temporary workshops and Networking Meetups (Count)
    • Levels: Binary for do they exist, count for each
    • Difficulty: Difficult for Turkers to differentiate between these two and also other potential events (e.g. symposiums)
    • Approach: Uses key search terms (e.g. Java/etc.) to separate out workshops and key terms (e.g. lunch/happy hour) for networking meetings
  5. Onsite code school and Curriculum
    • Levels: Binary for do they exist, binary for each
    • Difficulty: Difficult for Turkers to differentiate between long-term coding programs for individuals and curriculum for startups
    • Approach: Uses key search terms (e.g. specific code schools) to separate out known code schools and also to look into key terms (e.g. leadership) for curriculum
  6. Sponsors/Partners (University, Corporate) (not always clear the difference among sponsors, partners, investors)
    • 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
  7. Size (sqft)
    • Levels: Number in sqft
    • Difficulty: Not all companies list square feet online
    • Approach:
      1. Google search with key words
      2. If results do not appear, use of press releases is possible
  8. 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. Alumni Network
    • 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
    • Levels: URL
    • Approach: Google using Veeral's code that allows us to search
  3. Address
    • Levels: Will include all addresses
    • Approach: Google key terms (e.g. Contact Us) and URL using Veeral's code
  4. Nonprofit status
    • Levels: 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
    • Levels: 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
    • Levels: Industry included in statement (no aggregation)
    • Approach: *Based on Mission Statement, not aggregated
  7. Price for a space/office
    • Levels: Two prices one for shared, other for private
    • Approach: Uses google methodology with key terms and URL