New Funding Opportunity: RFA-CA-15-017

General
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Good afternoon everyone,

A new RFA has just been announced! It’s purpose is to fund the development of software tools and methods in three topic areas: Data Privacy, Data Repurposing, and Applying Metadata.

Many of the listed examples are particularly relevant to OHDSI:

Data Repurposing

  • Software for enabling access to repurposable data that is broadly disbursed, including methods for aggregation and integration of data across multiple platforms and sources (@rkboyce has mentioned we could submit for LAERTES)

  • Software and methods for collecting and reformatting heterogeneous unaggregated data from public sources

  • Software for discovery of repurposable data, such as methods for finding related data or other public data that can broaden or enrich a held dataset.

  • Software and methods for quality assessment and trust in repurposed data, including addressing issues of self-reported data and data collection under imperfect conditions (such as the variability in use of wearable technology or intermittent wireless or GPS connections).

  • Software and methods for addressing missing data, biases, and unmeasured confounders in repurposed data (e.g., clinical EHR data, self-reported data, etc.)

Applying Metadata

  • Software platforms to facilitate the use of controlled vocabularies and ontologies

  • Open software toolkits that integrate with industry standards and widely used APIs

See more at:
http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-15-017.html#sthash.lnMJ91wx.dpuf

If you’d like to submit an application for OHDSI, join tomorrow’s community call where we’ll discuss this grant and possible OHDSI submissions. Or, if you can’t join the call, let us know in this thread.

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On Mon, Jul 27, 2015 at 12:51 PM, Maura Beaton notifications@ohdsi.org wrote:

Applying Metadata

Software platforms to facilitate the use of controlled vocabularies
and ontologies

Open software toolkits that integrate with industry standards and
widely used APIs

If anyone goes after the Applying Metadata angle, please make sure to
co-ordinate with the Center for Expanded Data Annotation and Retrieval (
http://med.stanford.edu/cedar.html) at Stanford. It’s named in the RFA.

regards,
Nigam.

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If there is interest in including privacy aspects
(e.g. the solicitation mentions:
Software packages that recognize and adapt to different levels of privacy and confidentiality for different data types.
Software that identifies sensitive information in large heterogeneous biomedical datasets.

I’ll be interested, having developed techniques for privacy-aware synthetic data generation
e.g. PeGS: Perturbed Gibbs Samplers that Generate Privacy-Compliant Synthetic Data
(with Y. Park), Transactions on Data Privacy 2014. (link)