Matching VentureOne (Data)

McNair Project

Matching VentureOne (Data)
Project Information
Project Title
Start Date
Deadline
Primary Billing
Notes
Has project status
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Overview

In this matching process, we will join patent data to VentureOne companies and count the number of patents that affiliated to each company.

Raw Data

Original data set of VentureOne companies can be found at: E:\McNair\Projects\Venture One Data\Venture Data 1.xlsx

• All Variables: EntityName,Employees, City, State, Zip, AreaCode, Business Status, IndustryGroup...etc
• Variables used for matching: EntityName

Original patent data is in our database: 128.42.44.181/bulk/allpatentsprocessed

Procedure

We first get the standard company names for VentureOne companies from the source VentureOne data set. Then we standardize the names of the companies that have patents from our patent database. Based on the common standard company names, we join patent information to VentureOne companies.

Final Matched Tables

1. Summary table displaying number of patents owned, minimum grant year, maximum grant year and average grant year for each company (including the ones that own no patents). It can be found at:E:\McNair\Projects\Venture One Data\venturesummary.txt
2. A table contains all patent information for the companies that have patents and can be found at E:\McNair\Projects\Venture One Data\venturefullyjoined.txt

Desired Variables

---

     name:  <unnamed>
      log:  C:\Users\ArielSun\Downloads\varlist.log
 log type:  text
opened on:   5 Jul 2016, 16:49:23

. describe

Contains data from C:\Users\ArielSun\Downloads\allpats_3sectors_06jun13.dta

 obs:        19,409                          
vars:            36                          11 Jun 2016 17:31
size:    10,655,541                          (_dta has notes)

---

Detailed Data Processing

• Get the VentureOne data ready

1. Source file for VentureOne data E:\McNair\Projects\Venture One Data\Venture Data 1.xlsx Original data source
2. Clean it up E:\McNair\Software\Scripts\Matcher\Input\Venture Data 1.txt extraneous symbols and words removed
3. Match it against itself to get standardized entity names E:\McNair\Projects\Venture One Data\Cleaned and Matched Data.xlsx

• Get the patent data ready

1. Draw the distinct assignees Z:\allpatentsprocessed\DistinctAssignees2.txt
2. Match them against themselves to get standardized org names for patent data Z:\allpatentsprocessed\DistinctAssignees2matched.txt

• Match standardized org names of patent data to standardized entity names of venture data

Z:\allpatentsprocessed\Venture Patent Matched.txt

• Join patent data to venture data to get patent information of each venture-backed company

1. Join patent data to assignee data, creating firstjoin_cleaned which matches assignees to patent numbers.
2. Join firstjoin_cleaned data to matchassignee data, creating secondjoin_cleaned which matches standard org names to patent numbers
3. Join secondjoin_cleaned data to venturepatentmatched data, creating fourthjoin_cleaned which matches standard venture company names to patent numbers

• Final summary tables

1. Summary table displaying number of patents owned, minimum grant year, maximum grant year and average grant year for each company E:\McNair\Projects\Venture One Data\venturepatentreallyfinal.txt
2. A table of all patent information for each company that has patents E:\McNair\Projects\Venture One Data\venturepatentfullyjoined.txt

• Notes

1. All data in allpatentsprocessed database. Access it by logging on to researcher@McNair DBServ:/bulk/allpatentsprocessed
2. A script of detailed processing procedure can be found at E:\McNair\Projects\Venture One Data\patent data script.txt