The University Library’s Savvy Researcher Workshops include a data management session this fall:
Intro to Data Management Thursday, September 27 5:00-6:30pm Main Library, Room 314 Registration is required.
If you keep hearing about research data management but dont really know what its all about, this session is for you, whether you are a faculty member competing for NSF grants, a researcher managing data for a lab, a graduate student wanting to develop an in-demand skill, or a librarian wanting to help researchers and students with data. The goal of data management is to ensure that data is secure, discoverable and preserved for future use, by you and other researchers. This session will cover the benefits of managing data; ways to manage data on a day-to-day basis (e.g., file naming, storage, versioning); key points for preserving data; options for sharing data; and datas unique issues with citations, intellectual property and privacy.
Presenters: Sarah Shreeves, Sarah Williams, and Lura Joseph
To register and to see the full schedule of Savvy Researcher Workshops: http://illinois.edu/calendar/list/4068
The Summer 2012 issue of Issues in Science & Technology Librarianship included the article ” De-Mystifying the Data Management Requirements of Research Funders .” The authors reviewed the data management requirements and policies of over two dozen major U.S. funders, including NSF, NIH, USDA and EPA. They looked at policy elements such as plan implementation timeframe, research data scope, metadata standards, data embargo period, and data center recommendation.
Based on the policy gaps identified, the article discusses potential opportunities for librarians to assist researchers with data management. This article could also be of interest to researchers who want an overview of data management requirements from major U.S. funders of scientific research.
The authors also wrote a guest post on the DMPTool blog , in which they provide some perspective on how their research relates to the current state of data management.
The Tip of the Week on the OpenHelix Blog is: MaizeGDB Genome Browser & Other Videos .
MaizeGDB (Maize Genetics and Genomics Database) is described as “a community-oriented, long-term, federally funded informatics service to researchers focused on the crop plant and model organism Zea mays .”
See more information about the University Library’s OpenHelix subscription .
Last month “The Future of Big Data” report was released by the Pew Research Center’s Internet & American Life Project .
This Pew survey gathered responses through an online questionnaire sent to selected experts, who were encouraged to share the survey with informed colleagues. The survey utilized tension pairs; asking respondents to select one of two scenarios that was mostly likely for the year 2020, and expand on their selection. “One [scenario] sketched out a relatively positive future where Big Data are drawn together in ways that will improve social, political, and economic intelligence. The other expressed the view that Big Data could cause more problems than it solves between now and 2020.” Respondents were fairly evenly divided, with 53% selecting the more positive scenario and 39% selected the more negative scenario.
In summary, “Tech experts believe that vast quantities of data that humans and machines will be creating by the year 2020 could enhance productivity, improve organizational transparency, and expand the frontier of the ‘knowable future.’ But they worry about ‘humanity’s dashboard’ being in government and corporate hands and they are anxious about people’s ability to analyze it wisely.”