The National Science Foundation is using a new approach to identify high risk awardees. In its 2013 plan of work, the NSF Office of Inspector General (OIG) describes its use of “data analytics” to identify high risk grantees to be selected for audit.
This approach uses multiple data sources and enables examination of 100 per cent of transactions, revealing anomalies that indicate possible unallowable or unreasonable expenditures. The data sources NSF will use include awarded proposals, expense reports, cash draw-downs, annual single audits (aka A-133 Audits), information in USAspending.gov (including data submitted quarterly for ARRA awards), 990 tax returns (GuideStar) and others.
The data analytics approach increases the OIG’s efficiency in identifying risk at all stages of awards. This includes the following:
How does this change affect the Principal Investigator?
Principal Investigators and anyone associated with managing finances for sponsored programs need to ensure due diligence at all phases of the proposal – award life cycle. This change does not require any “new” actions or procedures, but it does highlight the importance of certain best practices, including
Note on drawing NSF funds
NSF has also recently announced that all awards made will be promptly closed 90 days after the award end date. Since RIT draws funds in arrears, this means that all transactions should be properly and timely recorded on the award by the 60th day following the award’s end date.
If you have any questions about anything above, feel free to contact your SPA or SRS representative.