A Brief Overviewof the iRAMP idea

- or - What’s this meeting for?

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 SafetyDivision of Chemical Information

Introductions

• Academic field of study• Lab experience: how much

and what kind?• Current role

StakeholdersChemists / 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)

3 Goals for the meeting1. Create synergies which

support safer chemistry2. SWOT analysis of the iRAMP

concept3. Identify implementation

opportunitiesPotential deliverables:Report to CCS on next stepsProposal for funding for further

workDevelopment of a web platform

based on the architecture and logic developed here

Web-based Chemical

Information+

EHS paradigm =

iRAMP

The Goal of an iRAMPSDSs 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

The Plan of DiscussionMonday: 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

The Plan of Discussion for this morningTwo tele-presentations

◦Bristol-Myers Squibb 9:30 to 10◦Univ of Southampton, UK 10:15 to 10:45

Chemical Safety concept reviewChemical Information concept reviewCurrent Best Practices review

◦Media report parsing for chemical information

◦Univ of California LHAT◦ChemSpider◦Wikipedia ChemInfo Box

Chemical Safety ChronologyPrudent Practices in the Laboratory:

1980/83, 1995, 2011BMBL published with Biosafety Levels:

1984Control banding developed in the

Pharma industry: 1990sJCHAS article suggesting Chemical

Safety Levels: 1999Globally Harmonized System: c. 2010The RAMP paradigm: 2010Oh yeah, the Internet: c. 1989 - today

Key Chemical Safety concepts1. Prudent Practices2. Risk Assessment vs. Risk

Management3. Control Banding4. Chemical Safety Levels5. Globally Harmonized System6. The RAMP paradigm

Prudent PracticesWikitionary 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

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

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

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.

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.

The RAMP paradigm

◦Recognize the Hazards

◦Assess Risks◦Minimize the Hazards◦Prepare for

Emergencies◦Protect the

Environment

Key Chemical Information issues1. 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)

Key Chemical Information issues1. 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)

Key Chemical Information issues1. 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)

Key Chemical Information issues1. 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)

Key Chemical Information issues1. 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)

Key Chemical Information issues1. 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)

Key Chemical Information issues1. 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)