The NIH-supported project BioCADDIE (stands for “biomedical and healthCAre Data Discovery Index Ecosystem”) has launched v2.0 of the DataMed search engine. This prototype search engine supports the NIH-endorsed FAIR principles (Findability, Accessibility, Interoperability and Reusability) of datasets, and can be used to search for datasets or data repositories in biomedical and health sciences. DataMed is designed to be for data what PubMed has been for scientific literature.
Several leading medical journals, including New England Journal of Medicine, Annals of Internal Medicine, PLOS Medicine, and The Lancet, are proposing new data sharing requirements. Specifically, before journals will consider the publication of manuscripts describing clinical trials, the authors must agree to share the deidentified individual patient data underlying the results described in the manuscript no later than 6 months after publication. In addition, authors must include a plan for data sharing as a component of clinical trial registration (i.e., at ClinicalTrials.gov or another registry). Read more about the proposed requirements here. If you need help creating a data sharing plan or identifying an appropriate method for sharing your data, contact Research Data Services at firstname.lastname@example.org.
Data preservation is serious business…that is, unless you’re following the adventures of Team Digital Preservation! Constructed in a Saturday morning cartoon style, these series of videos were developed by DigitalPreservationEurope to teach people about data preservation. Both hilarious and informative, they are worth watching. Check out their adventures on YouTube.
Researchers from the University of Southern Denmark have published a study of the effect of data linking on the number of citations received by articles appearing in three major astrophysics journals. Presented at an IAU meeting in August 2015, and published in arXiv.org on November 8 2015, the study provides evidence for the existence of a citation advantage within astrophysics for papers that link to data. Read the full article here.
Since 2011, the National Science Foundation (NSF) has required researchers to include a data management plan in their grant proposals that describes how research data will be managed during the project and shared with others after the project. These days, it’s not just the NSF that requires a data management plan. Rather, all federal granting agencies with an annual budget of over $100 million now require or will soon require a data management plan. Here’s a non-exhaustive list:
National Institutes of Health (NIH)
Veterans Administration (VA)
Department of Education (ED)
Department of Energy (DOE)
Department of Defense (DoD)
Agency for Healthcare Research and Quality (AHRQ)
National Aeronautics and Space Administration (NASA)
US Geological Survey (USGS)
Environmental Protection Agency (EPA)
Centers for Disease Control and Prevention (CDC)
Food and Drug Association (FDA)
National Institute of Justice (NIJ)
Department of Agriculture (USDA)
Are you are planning to apply for funding from one of these agencies? Would you like assistance with creating a strong data management plan? If so, contact Research Data Services of the WSU Library System at email@example.com.
It’s Halloween, and we at WSU Research Data Services are getting into the spirit with some RESEARCH DATA NIGHTMARES. We have all hopefully moved beyond storing research data on flash and C:/ drives, but problems of long-term data preservation, access, and reuse regularly rear their monstrous heads.
I’ve selected a few examples to raise awareness about the need to plan for data management, including preservation, not just for federal grants that require it, but for any research involving data collection.
1. The dangers of making data available only on your own website and not in a repository: The Mystery of the Missing Dataset.
2. One in five scientific articles suffers from “reference rot,” according to this December 2014 PLoS article.
3. Professor loses over 100 gigabytes of files during Dropbox sync glitch.
For a consultation with library staff about research data management planning and preservation, contact the Research Data Services group at http://rds.wayne.edu/contact.php and firstname.lastname@example.org.
We wish you and your data a happy and safe Halloween!
An article in the June 23 Chronicle: “Where Should You Keep Your Data?” provides a great overview of emerging requirements from federal funding agencies on research data sharing and management. Email the library’s research data team (email@example.com) for more information or a consultation.
A new post on the Nature Jobs Blog outlines 10 tips for successful research data management. One of the tips is to “identify the people and information sources that can help you.” Remember that Research Data Services of the WSU Library System can help you create data management plans and provide consultation on how to share and publish your research data. Contact us at firstname.lastname@example.org.
The National Institutes of Health (NIH) is implementing a new policy on Genomic Data Sharing (GDS). Starting on January 25, 2015, investigators must provide a “Genomic Data Sharing Plan” in their funding applications, and large-scale human or non-human genomic data resulting from NIH-funded studies must be made publicly accessible through an NIH-designated data repository.
Read more about the NIH GDS policy in our Data@Wayne article in the Research@Wayne newsletter.
In a November 26, 2014 program notification, the National Science Foundation (NSF) announced new funding for the development of data resources in the social, behavioral, and economic sciences. The program, entitled Resource Implementations for Data Intensive Research in the Social Behavioral and Economic Sciences (RIDIR), solicits proposals “to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study.” Read the program solicitation here.