2015 NLM Informationist Services and NIH Big Data to Knowledge Awardees Announced

In October 2015, the National Library of Medicine (NLM) Extramural Programs (EP) announced the 2015 Awards for NLM Administrative Supplements for Informationist Services in NIH-funded Research Projects. These awards bring informationists into research settings and measure the value of their contributions to the research. The Supplement provides funding for up to two years for an active NIH-funded researcher, in order to bring needed information expertise into the research team.

Awardees include:

• Kechris-Mays, Katherina: Genome-wide Identification of miRNAs Associated with Alcoholism Endophenotypesbr (University of Colorado Denver)
• Khosla, Siddarth M: The Relationships Between Vortices, Acoustics, and Vibration in Vocal Fold Asymmetries (University of Cincinnati)
• Lumeng, Julie C: The Development of Eating Behaviors in Infancy (University of Michigan)
• Sarkar, Indra: In Silico Indentification of Phyto-therapies (Brown University)
• Zimmerman, Marc A: Intergenerational Transmission of Drug Use in an Urban Sample (University of Michigan)
• Farrell, Brenda F: Curation and Management of Electrophysiological Data obtained from Outer Hair Cells Isolated from Cavia Porcellus (Baylor College of Medicine)
• McCowan, Brendaf: Determining the Dynamic Influence of Social Networks on Development and Health Trajectories (University of California at Davis)
• Pang, Xiaowu: 1/2 Howard/Hopkins Intercenter Collaboration in HPV-Associated Cancer Studies (Howard University)
• Cohen-Wolkowiez, Michael: Physiologically-Based Pharmacokinetic Models for Optimal Drug Dosing in Children (Duke University)
• Imperato-McGinley, Julianne: CTSC Informationist Services in NIH Funded Research Projects (Weill Medical College, Cornell University)
• Evanoff, Bradley: Washington University Institute for Clinical and Translational Sciences (Washington University)

In September 2015, the NIH Big Data to Knowledge (BD2K) Initiative Research Education announced the awardees for Massive Open Online Course (MOOC) on Data Management for Biomedical Big Data and Open Educational Resources for Sharing, Annotating and Curating Biomedical Big Data. The MOOC awards will develop a Massive Open Online Course (MOOC) that covers a comprehensive set of topics related to the management of biomedical Big Data, and the Open Education Resources awards will develop curriculum modules that can be used by librarians and other information specialists to prepare researchers, graduate students and research staff to be full participants in the global community that maintains and accesses digitally-stored biomedical Big Data. Awardees include:

• MOOC: Demystifying Biomedical Big Data: User’s Guide (Georgetown)
• MOOC: Best Practices in Research Data Management (U Mass)
• Enabling Data Science in Biology (Rutgers)
• Preparing Medical Librarians to Understand and Teach RDM (NYU)
• Training and Tools for Informationists to Facilitate Sharing of Next-Gen Sequence Data (JHU)