Difference between revisions of "Matching VentureOne (Data)"
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− | {{ | + | {{Project |
+ | |Has project output= | ||
|Has title=Matching VentureOne (Data) | |Has title=Matching VentureOne (Data) | ||
|Has owner=Ariel Sun, Rosemarie Ziedonis | |Has owner=Ariel Sun, Rosemarie Ziedonis | ||
|Has start date=Summer 2016 | |Has start date=Summer 2016 | ||
|Due Date=NA | |Due Date=NA | ||
− | | | + | |Has sponsor=McNair Center |
|Has notes= | |Has notes= | ||
|Is dependent on= | |Is dependent on= |
Latest revision as of 12:34, 21 September 2020
Matching VentureOne (Data) | |
---|---|
Project Information | |
Has title | Matching VentureOne (Data) |
Has owner | Ariel Sun, Rosemarie Ziedonis |
Has start date | Summer 2016 |
Has deadline date | |
Has project status | Complete |
Has sponsor | McNair Center |
Copyright © 2019 edegan.com. All Rights Reserved. |
Contents
Updated
New Requirements
- re-run the match using *both* name-related fields in the startups_cl.dta file: “name” and “name_prev”.
- the latter field pulls in patents applied for under a former name of the same company
- in the output file, please include…
- include the field “entityid” that corresponds to each startup (this step is critical; else, we can’t link patents filed under alternative names of the company to the same firm); in startups_cl.dta
- all assignee-related fields in your patent data (e.g., assignee name, and any original and current uspto assignee codes listed for the patent); merge in from your patent files
Output
Text files are in:E:\McNair\Projects\Venture One Data\
summarytablefinal
: summary on number of patents and grant year for all companiesullyjoinedtable
: all patent and assignee information for entities that have patents (combining 3 and 4)fullyjoinednow
: patent information under current name of the companyfullyjoinedprev
: patent information under previous name of the company
A new version of sql script can be cound at :E:\McNair\Projects\Venture One Data\sql script.txt
notes
In summarytablefinal table: (for all entities) Variables: Entity Name|Standard Orgname|Number of patent| Previous Name|Previous Standard Orgname|Previous Number of Patent| Total number of Patent| Orinigal ID | Revised ID| min grant year|max grant year|avg grant year| ***One company have the exactly same name for entity name and previous name(Z-KAT) and there is double counting of patent. So the total number of patent should be 11 instead of 22.
In fullyjoinedtable: (for entities that have patent) Including all patent and assignee variables 33 variables in total variables start with 'asg' are assignee information, e.g. asgtype = assignee type The rest are patent information.
Old
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/allpatent
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
- 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
- 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
Below is the list of variables that were in the STATA file we were given:
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) ---------------------------------------------------------------------------------------------------------------------- storage display value variable name type format label variable label ---------------------------------------------------------------------------------------------------------------------- id_vone double %9.0g VentureOne id name str39 %39s startup name patent str9 %9s patno in string apn str6 %6s pat application number nmi str40 %40s inventor name ttl str244 %40s invention title nma str65 %65s original assignee ocd str15 %15s main us patent class icd str15 %15s main intl patent class apd float %td application date gdateold float %td Grant date fnd_year float %8.0g startup founding year last_yr float %9.0g * OLD last_yr, 2006; see notes source byte %8.0g 1 if 2012 delphion searches; else from 2004/5 search pdate float %td priority date, delphion; may pre-date application date if provisional apps utility float %9.0g * 1 if utility patent as initially awarded; 0 if other (reissued, reexamed, design state_country str3 %9s state/country of first inventor listed asscode float %9.0g assignee code; basic.dta ayear int %9.0g application year amonth byte %9.0g application month atype str1 %9s * initial assignee type; see notes class str3 %9s 3 digit us pat class subclass str6 %9s patent subclass gdate int %d grant, or issuance, date industry str15 %15s semi, software, or med devices state_hq str2 %9s firm hq location; vone status06 str4 %9s * status of firm known in 2006; rhs truncation varies by sector exitdate str8 %9s exit date, if known exityr str4 %9s exit year, if known status08 str6 %9s * status of firm in 2008, see notes last_yr08 int %8.0g * exityr if ipo/acq, else 2008 dcohort float %9.0g 1 if founding yr during 1987-99 lastyr08_minu~r float %9.0g dsearch_assign float %9.0g 1 if searches of pat assignment data need to be conducted; carlosn confirm? carlos_chk float %9.0g carlos: pls confirm assignment data = compiled for these pats entityid long %12.0g unique startup id as of 2008, vone * indicated variables have notes ----------------------------------------------------------------------------------------------------------------------
Detailed Data Processing
- Get the VentureOne data ready
- Source file for VentureOne data
E:\McNair\Projects\Venture One Data\Venture Data 1.xlsx
Original data source - Clean it up
E:\McNair\Software\Scripts\Matcher\Input\Venture Data 1.txt
extraneous symbols and words removed - 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
- Draw the distinct assignees
Z:\allpatentsprocessed\DistinctAssignees2.txt
- 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
- Join
patent
data toassignee
data, creatingfirstjoin_cleaned
which matches assignees to patent numbers. - Join
firstjoin_cleaned
data tomatchassignee
data, creatingsecondjoin_cleaned
which matches standard org names to patent numbers - Join
secondjoin_cleaned
data toventurepatentmatched
data, creatingfourthjoin_cleaned
which matches standard venture company names to patent numbers
- Final summary tables
- 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
- A table of all patent information for each company that has patents
E:\McNair\Projects\Venture One Data\venturepatentfullyjoined.txt
- Notes
- All data in
allpatentsprocessed database
. Access it by logging on toresearcher@McNair DBServ:/bulk/allpatentsprocessed
- A script of detailed processing procedure can be found at
E:\McNair\Projects\Venture One Data\patent data script.txt
The matched data
We are giving back two files:
- One is at the patent level and contains information on 38,497 patents held by the 1,557 of the 3,357 companies.
- The other file is at the company level and aggregate patent information for the 3,357 companies.