NIH invests almost $32 million to increase utility of biomedical research data

http://www.nih.gov/news/health/oct2014/od-09.htm

"Wide-ranging National Institutes of Health grants announced today will develop new strategies to analyze and leverage the explosion of increasingly complex biomedical data sets, often referred to as Big Data. These NIH multi-institute awards constitute an initial investment of nearly $32 million in fiscal year 2014 by NIH’s Big Data to Knowledge (BD2K) initiative, which is projected to have a total investment of nearly $656 million through 2020, pending available funds."
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"The funding will establish 12 centers that will each tackle specific data science challenges. The awards will also provide support for a consortium to cultivate a scientific community-based approach on the development of a data discovery index, and for data science training and workforce development."
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ICSU World Data System originally shared:

 

Press Release: DataCite and the ICSU World Data System (ICSU-WDS) announce an agreement to strengthen their collaboration and enhance the availability of high-quality scientific data to researchers worldwide.
http://goo.gl/K8LcUI

Making Data Count: PLOS, CDL, and DataONE join forces to build incentives for data sharing

By Jennifer Lin
Posted: October 7, 2014

http://blogs.plos.org/tech/making-data-count-plos-cdl-and-dataone-join-forces-to-build-incentives-for-data-sharing/

In partnership with the University of California Curation Center at the California Digital Library,and DataONE, we are pleased to announce the launch of a new project to develop data-level metrics. This project is funded by an EAGER grant from the National Science Foundation. The project, titled “Making Data Count: Developing a Data Metrics Pilot”, will result in a suite of metrics that track and measure data use. The proposal is available on eScholarship (http://escholarship.org/uc/item/9kf081vf).

Sharing data is time consuming and researchers need incentives for undertaking the extra work. Metrics for data will provide feedback on data usage, views, and impact that will help encourage researchers to share their data. This project will explore and test the metrics needed to capture activity surrounding research data.

The Data-Level Metrics (DLM) pilot will build from the successful open source Article-Level Metrics community project, Lagotto, originally started by PLOS in 2009. ALM provide a view into the activity surrounding an article after publication, across a broad spectrum of ways in which research is disseminated and used (e.g., viewed, shared, discussed, cited, and recommended, etc.)

National Environmental Research Program Data and Information Management Guidelines

Department of the Environment, 2014: October 2014

 http://www.environment.gov.au/science/nerp/publications/nerp-data-information-management-guidelines

Download

• National Environmental Research Program Data and Information Management Guidelines (PDF - 704.66 KB)
• National Environmental Research Program Data and Information Management Guidelines (DOCX - 1.64 MB)

About the document

This document provides guidance on the expectations of the Department of the Environment about making outputs from the NERP ‘publicly and freely accessible and available to government, end-users and the general public, preferably by electronic means’ (as required by the NERP Program Guidelines).

This document follows on from and replaces the Interim Guidance on Data and Information for the National Environmental Research Program (September 30, 2011) and provides the completed guidelines for data and information management in the NERP. This document is to be read in conjunction with the National Environmental Research Program Guidelines (NERP Guidelines) and any relevant NERP funding agreements.