1. Corporate Responsibility Exchange Paul Rennison – London Stock Exchange

2. PROBLEM TO SOLVE  Started with research into the problem of “questionnaire fatigue” for companies  Companies on average receiving 7 questionnaires relating to CG,CSR etc pa  Average of 7 man days per month spent responding this stakeholder group  Realised there are information asymmetries that impact on the needs of institutions as well  Briefly: some of the research findings

3. Proportion of Repetition in Questionnaires Questionnaires are found by the majority to be highly repetitive – over three-quarters of respondents believe over 50% of the average questionnaire is a repetition of information previously given

4. APPROACH  Developed a normalised set of questions which map across to the key codes, guidelines and questionnaires currently in use: CC, NAPF, ABI,, BITC, EIRiS, SAM, GRI, CDP  The core normalised question set needs to be supplemented by “balancing” questions from the agencies  Not seeking to set the CR agenda, just helping companies to report against it  Consultative and consensual: Steering Group comprising key stakeholders among companies, institutions and research agencies

5. THE QUESTION SETS  Schema will deliver a supra-questionnaire that captures 70 – 80 % of data requested by all  Schema also allows for non-core questions to be asked according to the code or agency involved  Schema also allows specific proprietary questions to be targeted to companies or sectors  We have a process and architecture that allows flexibility to co-opt new questions for emerging issues (e.g. obesity, OFR) and will be included via a ratification process

6. CRE Data Architecture

7. CRE SCHEMA  Defines both quantitative and qualitative non-financial data e.g.“CO2 emissions (tonnes)” vs. “Human Rights policy and declaration”  Allows definitions of alternative taxonomies for categorising the same CSR data e.g.“Strategy, management and operations” or “Social, environmental, economic”  Defines common data types found within the CSR domain e.g.“Gas Emissions”, “Energy Consumption”, “Policy Document”  Time period and applicability data for apportioning and defining the relevance of data e.g.“carbon emissions in Europe”, “child labour excluding sub-Saharan Africa”.

8. CRE SCHEMA  Allows definition of questionnaire sets, which provide a mechanism for manual but efficient capture of the data this data does typically exist in a structured form in enterprise systems so must be recaptured  Standardised definitions of third-party requirements and ratings and their interrelationships and redundancies e.g.“this data fulfils the requirements of both Global Reporting Initiative EN12 and Carbon Disclosure Project Q4”  Reporting definitions and vocabularies Supports the definition of reports (exceptions and aggregations) that can be used during research and comparative analysis

9.  CRE schema was designed initially as the enabler for a proprietary software application  However this underlying platform and data schema are open to all  It takes concepts and tenets of XBRL to ease future migration  The London Stock Exchange are engaged with the XBRL Consortia to evolve the CRE schema into an open set of XBRL taxonomies and extensions  Software tools will be made available to the corporate responsibility community to allow definition of new CSR data requirements and questionnaires Migration to a XBRL based standard