Harvard Dataverse
Revision as of 13:58, 7 April 2016 by imported>Leo (→Creating the tables)
This page records how to load/use the Harvard Dataverse.
Getting the data
Where we get the Harvard Dataverse data: Harvard Dataverse
For more information about the patent data: Patent Data
Loading the tables into the database
COPY classes FROM '/tmp/class.csv' DELIMITER ',' NULL CSV; COPY assignees FROM '/tmp/assignee.csv' DELIMITER ',' NULL CSV; COPY citations FROM '/tmp/citation.csv' DELIMITER ',' NULL CSV; COPY inventors FROM '/tmp/inventor.csv' DELIMITER ',' NULL CSV; COPY patents FROM '/tmp/patent.csv' DELIMITER ',' NULL CSV; COPY patdescs FROM '/tmp/patdesc.csv' DELIMITER ',' NULL CSV; COPY lawyers FROM '/tmp/lawyer.csv' DELIMITER ',' NULL CSV; COPY scirefs FROM '/tmp/sciref.csv' DELIMITER ',' NULL CSV; COPY usreldocs FROM '/tmp/usreldoc.csv' DELIMITER ',' NULL CSV; COPY invpats FROM '/tmp/invpat.csv' DELIMITER ',' NULL CSV;
Accessing the dbase
On the database server, the entire Harvard Dataverse for Patent Data is downloaded in directory
/bulk/patent
The files have been processed to be used for the create table scripts I have created to load the Harvard Dataverse database into our own psql database.
These preprocessed files are available under
/bulk/patent/preprocessed
The database I have created for the Patent Data from 1975-2010 is called patent data. After logging in to researcher@128.42.44.181, you can get access to the database by
psql patentdata
You can see a list of the tables inside the patent database by
patentdata=# \dt
List of relations
Schema | Name | Type | Owner
--------+-----------+-------+------------
public | assignees | table | researcher
public | citations | table | researcher
public | classes | table | researcher
public | inventors | table | researcher
public | invpat | table | researcher
public | lawyers | table | researcher
public | patdesc | table | researcher
public | patents | table | researcher
public | scirefs | table | researcher
public | usreldocs | table | researcher
(10 rows)
You can select from the database, for example, by
patentdata=# SELECT * FROM CLASSES WHERE patent='03930270'; patent | prim | class | subclass ----------+------+-------+---------- 03930270 | 1 | 360 | 130.24 03930270 | 0 | 360 | 84 03930270 | 0 | 360 | 271.8 03930270 | 0 | G9B | 15.08 (4 rows)
Or, do a join:
patentdata=# SELECT * FROM inventors AS i, classes AS c WHERE i.Patent=c.Patent AND i.Patent='03930270';
patent | firstname | lastname | street | city | state | country | zipcode | nationality | invseq | patent | prim | class | subclass ----------+-----------+----------+--------+-----------+-------+---------+---------+-------------+--------+----------+------+-------+---------- 03930270 | YOSHINORI | YAMAZOE | | OSAKA | | JP | | | 3 | 03930270 | 1 | 360 | 130.24 03930270 | YOSHINORI | YAMAZOE | | OSAKA | | JP | | | 3 | 03930270 | 0 | 360 | 84 03930270 | YOSHINORI | YAMAZOE | | OSAKA | | JP | | | 3 | 03930270 | 0 | 360 | 271.8 03930270 | YOSHINORI | YAMAZOE | | OSAKA | | JP | | | 3 | 03930270 | 0 | G9B | 15.08 03930270 | CHIHIRO | NAKAMURA | | MORIGUCHI | | JP | | | 4 | 03930270 | 1 | 360 | 130.24 03930270 | CHIHIRO | NAKAMURA | | MORIGUCHI | | JP | | | 4 | 03930270 | 0 | 360 | 84 03930270 | CHIHIRO | NAKAMURA | | MORIGUCHI | | JP | | | 4 | 03930270 | 0 | 360 | 271.8 03930270 | CHIHIRO | NAKAMURA | | MORIGUCHI | | JP | | | 4 | 03930270 | 0 | G9B | 15.08 03930270 | SATOSHI | KIKUYA | | KADOMA | | JP | | | 2 | 03930270 | 1 | 360 | 130.24 03930270 | SATOSHI | KIKUYA | | KADOMA | | JP | | | 2 | 03930270 | 0 | 360 | 84 03930270 | SATOSHI | KIKUYA | | KADOMA | | JP | | | 2 | 03930270 | 0 | 360 | 271.8 03930270 | SATOSHI | KIKUYA | | KADOMA | | JP | | | 2 | 03930270 | 0 | G9B | 15.08 03930270 | SHIZUHIKO | TANIGAWA | | MORIGUCHI | | JP | | | 1 | 03930270 | 1 | 360 | 130.24 03930270 | SHIZUHIKO | TANIGAWA | | MORIGUCHI | | JP | | | 1 | 03930270 | 0 | 360 | 84 03930270 | SHIZUHIKO | TANIGAWA | | MORIGUCHI | | JP | | | 1 | 03930270 | 0 | 360 | 271.8 03930270 | SHIZUHIKO | TANIGAWA | | MORIGUCHI | | JP | | | 1 | 03930270 | 0 | G9B | 15.08 (16 rows)
The schema I used for this database is documented at the bottom of this page.
And this is also saved as a .sql script under
/bulk/Software/Database\ Scripts/createtables.sql
A corresponding Drop table scripts is also available at
/bulk/Software/Database\ Scripts/droptables.sql
Converting DataTypes
Method 1: Explicit recast
CAST function
Method 2: implicit recast
SELECT varname::type
Method 3: through a language
CREATE OR REPLACE FUNCTION chartoint (text) RETURNS int AS $$
if ($_[0]) {
if ($_[0] =~ m/^\d+$/) {
return $_[0];
} else {
return -1;
}
}
return undef;
$$ LANGUAGE plperl;
The scripts for cleaning up the tables are available under /Database\ Scripts/cleaning\ db.sql
Creating the tables
The following is the schema for the 10 tables in this database:
I have cleaned up and fixed the types for the the following tables:
CREATE TABLE patents (
Patent integer,
Kind varchar, #only types NULL, A1, B1, B2
Claims integer,
AppType integer, #int (http://www.uspto.gov/web/offices/ac/ido/oeip/taf/filingyr.htm) 29 is design
AppNum integer,
GDate date,
GYear integer,
AppDate date,
AppYear integer
);
CREATE TABLE classes (
Patent integer
Prim integer,
Class varchar,
Subclass varchar
);
CREATE TABLE assignees (
Patent integer,
AsgType integer,
Assignee varchar,
City varchar,
State varchar,
Country varchar,
Nationality varchar,
Residence varchar,
AsgSeq integer
);
CREATE TABLE citations (
Patent integer,
Cit_Date date,
Cit_Name varchar,
Cit_Kind varchar,
Cit_Country varchar,
Citation integer,
Category varchar,
CitSeq integer
);
CREATE TABLE inventors (
Patent integer,
Firstname varchar,
Lastname varchar,
Street varchar,
City varchar,
State varchar,
Country varchar,
Zipcode varchar, #??
Nationality varchar,
InvSeq integer
);
CREATE TABLE patdesc (
Patent integer,
Abstract varchar,
Title varchar
);
CREATE TABLE lawyers (
Patent integer,
Firstname varchar,
Lastname varchar,
LawCountry varchar,
OrgName varchar,
LawSeq integer
);
CREATE TABLE scirefs (
Patent integer,
Descrip varchar,
CitSeq integer
);
CREATE TABLE usreldocs (
Patent integer,
DocType varchar,
OrderSeq integer,
Country varchar,
RelPatent varchar,
Kind varchar,
RelDate date,
Status varchar
);
CREATE TABLE invpats (
Firstname varchar,
Lastname varchar,
Street varchar,
City varchar,
State varchar,
Country varchar,
Zipcode integer,
Lat double precision,
Lon double precision,
InvSeq integer,
Patent integer,
GYear integer,
AppYear integer,
AppDate date,
Assignee varchar,
AsgNum varchar,
Class varchar,
InvNum varchar,
Low varchar,
Up varchar
);
Some statistics for the Patent table
SELECT gyear, COUNT(*) FROM patents GROUP BY gyear ORDER BY gyear; gyear | count -------+-------- 1975 | 72000 1976 | 70226 1977 | 65269 1978 | 66102 1979 | 48854 1980 | 61819 1981 | 65771 1982 | 57888 1983 | 56860 1984 | 67200 1985 | 71661 1986 | 70860 1987 | 82952 1988 | 77924 1989 | 95537 1990 | 90364 1991 | 96513 1992 | 97444 1993 | 98342 1994 | 101676 1995 | 101419 1996 | 109645 1997 | 111984 1998 | 147574 1999 | 153593 2000 | 157596 2001 | 166065 2002 | 167424 2003 | 169105 2004 | 164413 2005 | 143927 2006 | 173922 2007 | 157502 2008 | 157894 2009 | 167537 2010 | 219909 (36 rows)
