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Collaborative Research: The U.S. Supreme Court Justices Database

合作研究：美国最高法院法官数据库

基本信息

批准号：
0241418
负责人：
Lee Epstein
金额：
$ 5.51万
依托单位：
Washington University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2003
资助国家：
美国
起止时间：
2003-02-01 至 2004-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0241418&HistoricalAwards=false
关键词：
Collaborative Research U.S.Supreme Court

项目摘要

The National Science Foundation has funded several comprehensive multi-user databases on the attributes of judges who have served on the U.S. Courts of Appeals and District Courts. No precise analog exists for the U.S. Supreme Court. The only existing electronic database on justices of the Supreme Court (United States Supreme Court Justices Biographical Data, 1789-1958) does not include any justices appointed or nominated after 1958 and, owing to various other limitations, is far less informative and useful to researchers than the existing lower court data bases.The proposal fills this void by creating a multi-user, public database containing a wealth of information on individuals nominated (whether confirmed or not) to the U.S. Supreme Court. Specifically, the database will include 238 variables, falling roughly into 5 categories: identifiers, background characteristics and personal attributes, nominations, service on the Court, and departures from the bench. The PI's will announce its completion on pertinent listservs, archive it with the ICPSR, as well as on various web sites. It will be available in multiple electronic forms (as SPSS, Stata, ASCII, and Excel files) and in several formats (one, largely alpha; the other, largely numeric) thereby increasing its accessibility to scholarly, policy, and journalistic communities.

美国国家科学基金会资助了几个关于曾在美国上诉法院和地区法院任职的法官属性的综合性多用户数据库。美国最高法院没有精确的类比。关于最高法院法官的唯一现有电子数据库（美国最高法院大法官传记数据，1789-1958）不包括1958年以后任命或提名的任何大法官，由于各种其他限制，对研究人员来说，其信息量和有用性远远低于现有的下级法院数据库。一个公共数据库，包含了大量关于被提名（无论是否确认）到美国最高法院的个人的信息。具体而言，该数据库将包括238个变量，大致分为5类：识别资料、背景特征和个人特征、提名、在法院任职和离开法官。 PI将在相关的列表服务器上宣布其完成，并将其与ICPSR以及各种网站一起存档。它将以多种电子形式（如SPSS，Stata，ASCII和Excel文件）和多种格式（一种主要是字母;另一种主要是数字）提供，从而增加了学术，政策和新闻界的可访问性。