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1996 Electronics Industry Environmental Roadmap - Civil and ...

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Appendix E<br />

clearinghouses, databases, periodicals, directories, hotlines, centers, <strong>and</strong> associations associated<br />

with pollution prevention.<br />

4 ACCESSIBILITY: Publication.<br />

5 COST: Free access.<br />

6 UPDATE: Unknown - probably infrequent.<br />

7 PERTINENCE: Good secondary information source. Contains identification of resources not<br />

identified elsewhere.<br />

24<br />

1 ITEM: Global <strong>Environmental</strong> Management Initiative (GEMI)<br />

2 SOURCE: GEMI<br />

3 CONTENT: Organization of companies dedicated to fostering worldwide environmental<br />

excellence by promoting a business ethnic for environmental management <strong>and</strong> sustainable<br />

development.<br />

4 ACCESSIBILITY: Unlimited.<br />

5 COST: Free access to all data/information.<br />

6 UPDATE: Unknown.<br />

7 PERTINENCE: The growing number of companies (especially electronics industry<br />

companies) associated with this program <strong>and</strong> the consensus of member companies could be of<br />

considerable present <strong>and</strong> future value in attaining pollution prevention objectives. The success<br />

stories of member companies in resolving pollution problems would be of great use.<br />

25<br />

1 ITEM: Chemical Use Clusters Scoring Methodology<br />

2 SOURCE: U.S. EPA, 401 M. St. SW, Washington, DC 20466<br />

3 CONTENT: EPA program for using algorithms to score the combined effects of groups of<br />

chemical substances used in various manufacturing processes. The purpose of the system is to<br />

emphasize the importance of pollution prevention <strong>and</strong> particularly the use of safer substitutes.<br />

The system operates by creating chemical use clusters—sets of competing chemicals <strong>and</strong><br />

technologies for a given use.<br />

4 ACCESSIBILITY: Unlimited use.<br />

5 COST: Free access to all data/information.<br />

6 UPDATE: Unknown.<br />

7 PERTINENCE: Together with other resources (e.g., known chemical use patterns, toxicity information,<br />

existing chemical data, <strong>and</strong> new chemicals data), could be used a as a predictive<br />

213

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