1. A Brief Overview of the iRAMP idea - - - or - What’s this meeting for?

2. Our Sponsor(s) The American Chemical Society, in three forms: The Laboratory Chemical and Waste Management Task Force, which is supported by the Committee on Chemical Safety Innovative Project Grants from the ACS DAC to two technical divisions: Division of Chemical Health and Safety Division of Chemical Information

3. Introductions Academic field of study Lab experience: how much and what kind? Current role

4. Stakeholders Chemists / lab workers (CCS) Chemical Health and Safety professionals / risk assessors (CH&S) EHS professionals / risk managers (CH&S and Cornell reps) Chemical Information community (CINF)

5. 3 Goals for the meeting 1. Create synergies which support safer chemistry 2. SWOT analysis of the iRAMP concept 3. Identify implementation opportunities Potential deliverables: Report to CCS on next steps Proposal for funding for further work Development of a web platform based on the architecture and logic developed here

6. Web-based Chemical Information + EHS paradigm = iRAMP

7. The Goal of an iRAMP SDSs and Wikipedia provide chemical safety information on specific chemicals An intelligent platform is necessary to support risk assessment for specific experiments ◦ Wider range of chemicals ◦ Verified information ◦ Logic connecting the data ◦ Documentation of the judgments made ◦ Sharing of best practices

8. The Plan of Discussion Monday: identify strengths and weaknesses of the current system and how the iRAMP concept can address those ◦ AM: Background presentations, including two web discussiosn ◦ PM: Design charette Tuesday: consider opportunities and threats for an electronic iRAMP ◦ CINF challenges ◦ CHAS challenges ◦ EHS challenges ◦ User challenges

9. The Plan of Discussion for this morning Two tele-presentations ◦ Bristol-Myers Squibb 9:30 to 10 ◦ Univ of Southampton, UK 10:15 to 10:45 Chemical Safety concept review Chemical Information concept review Current Best Practices review ◦ Media report parsing for chemical information ◦ Univ of California LHAT ◦ ChemSpider ◦ Wikipedia ChemInfo Box

10. Chemical Safety Chronology Prudent Practices in the Laboratory: 1980/83, 1995, 2011 BMBL published with Biosafety Levels: 1984 Control banding developed in the Pharma industry: 1990s JCHAS article suggesting Chemical Safety Levels: 1999 Globally Harmonized System: c. 2010 The RAMP paradigm: 2010 Oh yeah, the Internet: c. 1989 - today

11. Key Chemical Safety concepts 1. Prudent Practices 2. Risk Assessment vs. Risk Management 3. Control Banding 4. Chemical Safety Levels 5. Globally Harmonized System 6. The RAMP paradigm

12. Prudent Practices Wikitionary definition: “circumspect; considerate of all that is pertinent” Requires a consideration of multiple hazards (including legal and social) Because lab operations vary widely, this can be a slippery concept in the field

13. Risk Assessment vs. Risk Management Risk Assessment is what you do before you start work and when work changes; Risk Management is what you do as the work goes forward

14. Control Banding A method to assign Risk Management measures in the face of vague or missing Risk Assessment information A key lesson from Pfizer: CB is a good training tool, but supervisors still relied on EHS to make assignments. Biosafety levels Pharma Control Bands

15. Chemical Safety vs. Biosafety Paradigms Design engineers are very interested in transferring the BSL concepts to labs in general. It’s not clear to me that that’s a good idea.

16. The Globally Harmonized System A control banding approach to Risk Assessment The challenge is that there are 9 axes of hazard identified in the system.

17. The RAMP paradigm ◦ Recognize the Hazards ◦ Assess Risks ◦ Minimize the Hazards ◦ Prepare for Emergencies ◦ Protect the Environment

18. Key Chemical Information issues 1. User interface (the front end) 2. Information management (the back end) 3. Benefits and limitations of automated management (computers + humans) 4. Information quality (fuzzy in – fuzzy out) 5. Information availability (licensing) 6. Re-usability and data mining (policy, format, historic organizational structure) 7. Archiving (provenance, storage)

19. Key Chemical Information issues 1. User interface (the front end) 2. Information management (the back end) 3. Benefits and limitations of automated management (computers + humans) 4. Information quality (fuzzy in – fuzzy out) 5. Information availability (licensing) 6. Re-usability and data mining (policy, format, historic organizational structure) 7. Archiving (provenance, storage)

20. Key Chemical Information issues 1. User interface (the front end) 2. Information management (the back end) 3. Benefits and limitations of automated management (computers + humans) 4. Information quality (fuzzy in – fuzzy out) 5. Information availability (licensing) 6. Re-usability and data mining (policy, format, historic organizational structure) 7. Archiving (provenance, storage)

21. Key Chemical Information issues 1. User interface (the front end) 2. Information management (the back end) 3. Benefits and limitations of automated management (computers + humans) 4. Information quality (fuzzy in – fuzzy out) 5. Information availability (licensing) 6. Re-usability and data mining (policy, format, historic organizational structure) 7. Archiving (provenance, storage)

22. Key Chemical Information issues 1. User interface (the front end) 2. Information management (the back end) 3. Benefits and limitations of automated management (computers + humans) 4. Information quality (fuzzy in – fuzzy out) 5. Information availability (licensing) 6. Re-usability and data mining (policy, format, historic organizational structure) 7. Archiving (provenance, storage)

23. Key Chemical Information issues 1. User interface (the front end) 2. Information management (the back end) 3. Benefits and limitations of automated management (computers + humans) 4. Information quality (fuzzy in – fuzzy out) 5. Information availability (licensing) 6. Re-usability and data mining (policy, format, historic organizational structure) 7. Archiving (provenance, storage)

24. Key Chemical Information issues 1. User interface (the front end) 2. Information management (the back end) 3. Benefits and limitations of automated management (computers + humans) 4. Information quality (fuzzy in – fuzzy out) 5. Information availability (licensing) 6. Re-usability and data mining (policy, format, historic organizational structure) 7. Archiving (provenance, storage)