Funding agencies increasingly require a data management plan (DMP) with funding proposals, which describe how data generated in the proposed work will be managed, preserved and shared. Data management plans are a rich source of information about an institution’s researchers and their research data management (RDM) knowledge, capabilities, and needs....
To provide research data management (RDM) support services, libraries need to develop expertise in data curation and management within the library. Many academic libraries are reorganizing to initiate RDM service structures, but may lack staff expertise in this area. Funding agencies increasingly require a data management plan (DMP) with funding...
Data management plans (DMPs) are a rich source of information about researchers and their research data management (RDM) knowledge, capabilities, and practices. Systematic analysis of DMPs can uncover important insights about local RDM needs, which can then inform the development or expansion of library RDM services. As part of an...
An analysis of Data Management Plans (DMPs) can offer insight into local data management practices. The IMLS- funded “Data management plans as A Research Tool (DART) Project” has developed an analytic rubric to assist librarians in facilitating and standardizing the review of DMPs. This panel will consist of data specialists...
Many hope that ocean waves will be a source for clean, safe, reliable and affordable energy, yet wave energy conversion facilities may affect marine ecosystems through a variety of mechanisms, including competition with other human uses. We developed a decision-support tool to assist siting wave energy facilities, which allows the...
The reliable simulation of gross primary productivity (GPP) at various spatial and temporal scales is of significance to quantifying the net exchange of carbon between terrestrial ecosystems and the atmosphere. This study aimed to verify the ability of a nonlinear two-leaf model (TL-LUEn), a linear two-leaf model (TL-LUE), and a...
In some cases a canopy height model (CHM) is the only available source of forest height information. For these cases it is important to understand the predictive power of CHM data for forest attributes. In this study we examined the use of lidar-derived CHM metrics to predict forest structure classes...
Coibamide A is an N-methyl-stabilized depsipeptide that was isolated from a marine cyanobacterium as part of an International Cooperative Biodiversity Groups (ICBG) program based in Panama. Previous testing of coibamide A in the NCI in vitro 60 cancer cell line panel revealed a potent anti-proliferative response and "COMPARE-negative" profile indicative...