Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Analysis of oversight systems is often conducted from a single disciplinary perspective and by using a limited set of criteria for evaluation. In this article, we develop an approach that blends risk analysis, social science, public administration, legal, public policy, and ethical perspectives to develop a broad set of criteria for assessing oversight systems. Multiple methods, including historical analysis, expert elicitation, and behavioral consensus, were employed to develop multidisciplinary criteria for evaluating oversight of emerging technologies. Sixty-six initial criteria were identified from extensive literature reviews and input from our Working Group. Criteria were placed in four categories reflecting the development, attributes, evolution, and outcomes of oversight systems. Expert elicitation, consensus methods, and multidisciplinary review of the literature were used to refine a condensed, operative set of criteria. Twenty-eight criteria resulted spanning four categories: seven development criteria, 15 attribute criteria, five outcome criteria, and one evolution criterion. These criteria illuminate how oversight systems develop, operate, change, and affect society. We term our approach "integrated oversight assessment" and propose its use as a tool for analyzing relationships among features, outcomes, and tradeoffs of oversight systems. Comparisons among historical case studies of oversight using a consistent set of criteria should result in defensible and evidence-supported lessons to guide the development of oversight systems for emerging technologies, such as nanotechnology.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1111/j.1539-6924.2008.01086.x | DOI Listing |
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