This paper describes the initial results from the Data Information Literacy (DIL) project designed to identify the educational needs of graduate students across a variety of science disciplines and respond with effective educational interventions to meet those needs. The DIL project consists of five teams in disparate disciplines from four academic institutions in the United States. The project teams include a data librarian, a subject-specialist or information literacy librarian, and a faculty member representing a disciplinary group of students. Interviews with the students and faculty members present a detailed snapshot of graduate student needs in data management education. Following our study, educational programs addressing identified needs will be delivered in the fall of 2012 and spring of 2013. Our findings from the project interviews are analyzed here, with a preview of the training approaches that will be taken by the five teams.
This paper describes an investigation into how researchers in different fields are interpreting and responding to the U.S. National Science Foundation’s data management plan (DMP) requirement. As documents written by the researchers themselves, DMPs can provide insight into researchers’ understanding of the potential value of their data to others; the environment in which their data are developed and prepared; and their willingness and ability to ensure the data are available to others now and in the long-term. With support from the Institute of Museum and Library Services, the authors conducted a content analysis of DMPs generated at their respective institutions using a shared rubric. By developing and testing a rubric designed to understand and evaluate the content of DMPs, the authors intend to develop a more complete understanding, at a larger scale, of how researchers plan for managing, sharing, and archiving their data.
Background: A critical challenge in genomic medicine is identifying the genetic and environmental risk factors for disease. Currently, the available data links a majority of known coding human genes to phenotypes, but the environmental component of human disease is extremely underrepresented in these linked data sets. Without environmental exposure information, our ability to realize precision health is limited, even with the promise of modern genomics. Achieving integration of gene, phenotype, and environment will require extensive translation of data into a standard, computable form and the extension of the existing gene/phenotype data model. The data standards and models needed to achieve this integration do not currently exist. Objectives: Our objective is to foster development of community-driven data-reporting standards and a computational model that will facilitate the inclusion of exposure data in computational analysis of human disease. To this end, we present a preliminary semantic data model and use cases and competency questions for further community-driven model development and refinement. Discussion: There is a real desire by the exposure science, epidemiology, and toxicology communities to use informatics approaches to improve their research workflow, gain new insights, and increase data reuse. Critical to success is the development of a community-driven data model for describing environmental exposures and linking them to existing models of human disease. https://doi.org/10.1289/EHP7215
academic and research libraries are devoting significant consideration, effort and resources toward expanding their roles to include research data management (RDM) services. RDM services can include training in data management best practices, consultations for writing DMPs and support for various data management components such as creating metadata or choosing appropriate data repositories.To provide RDM support services, libraries will need to develop and maximize expertise in data curation and management within the library. Many university libraries are reorganizing to initiate service structures that can meet the demands of RDM services, but most will be doing so with limited resources and personnel. Further, DMP guidance from funding agencies varies widely, as do the diverse practices of the research communities themselves. Libraries are faced with the daunting task of creating, implementing, marketing and assessing new RDM services that will meet the demands of their community. How does a library decide where to start? How can a library determine where their investment will have the most impact?The DMPs that researchers submit with grant proposals are a rich source of data that libraries can use to inform the development of their RDM services. As a document produced by researchers themselves, DMPs provide a window into the knowledge, capabilities and needs of both faculty members and their graduate students. A structured review of DMPs could identify gaps and weaknesses in faculty understanding and application of data management concepts and practices and identify the barriers in applying best practices. As such, the assessment of DMPs can uncover important insights about local RDM practices and aptitudes, which can then inform the development of RDM services.
1. Supernatant solutions from kidney and liver homogenates of the chicken, Gallus domesticus, were found to hydrolyze the organophosphate (OP) compound diisopropylfluorophosphate (DFP). The activity on DFP as substrate was heat-inactivated and was characterized for temperature and pH optima, enzyme kinetics, and requirements for manganous ion. 2. Gel column chromatography indicated that the DFPase in both tissues is in the range of 82,100 to 93,300 D. This activity is strongly inhibited by N,N'-diisopropylphosphorodia-midofluoridate (mipafox). 3. The chicken has organophosphate acid (OPA) anhydrase activity comparable to other eucaryotic sources in its ability to hydrolyze DFP. Although birds may not have paraoxonase activity comparable to mammalian species, they do not differ significantly in the ability to hydrolyze DFP and probably related compounds.
INTRODUCTIONAt the University of Oregon, our Data Information Literacy (DIL) team research group that was in the final year of a 4 was to study climate change impacts on Pacific Northwest prairie ecosystems. The librarian team consisted of the science data services librarian and the subject specialist for biology, environmental science, and geology. We partnered with a professor in the Department of Landscape Architecture within the School of Architecture and Allied Arts and a co change impacts (CCI) study. All other members of the team, including the lead investigator for the Department of Energy grant, were in the Institute of Ecology and Evolution within the Department of Biology. The CCI research group com set of our work, it consisted of two faculty, two postdoctoral research associates, three graduate students, and one research assistant who had completed an undergraduate degree in ecology.The CCI team investigated the impacts of increased temperature and precipitation on vegetation ecology in prairie ecosystems. The research used three localities, each with plots where temperature and precipitation were artificially increased above ambient l comparison. Team members researched a variety of factors, such as growth and reproduction of specific plant populations, transpiration rates, and soil characteristics, with individual projects within this larger context. LITERATURE AND ENVIRONMENTAL SCAN OF ECOLOGICAL DATA MANAGEMENT BEST PRACTICESTo better understand the data management culture of practice within ecology, as well as cur theory and guidance, we examined the literature on research data mana biology, ecology, and aligned environmental fields, additional generic best practices, and resources.The literature revealed a robust set of articles on RDM in established ecological and science journals. The ecology and environmental sciences publications were useful not only be applicability to the team's needs, but also because sharing such resources from journals in their research domain might lend greater credibility to instructional efforts with the team.At the University of Oregon, our Data Information Literacy (DIL) team worked with a vegetation ecology research group that was in the final year of a 4-year grant-funded project. The purpose of the project was to study climate change impacts on Pacific Northwest prairie ecosystems. The librarian team data services librarian and the subject specialist for biology, environmental science, and geology. We partnered with a professor in the Department of Landscape Architecture within the School of Architecture and Allied Arts and a co-principal investigator (co-PI) on a climate change impacts (CCI) study. All other members of the team, including the lead investigator for the Department of Energy grant, were in the Institute of Ecology and Evolution within the Department of Biology. The CCI research group composition changed as students completed projects, but at the out set of our work, it consisted of two faculty, two postdoctoral research associates, three graduate...
<p>This presentation describes the establishment of a partnership between the Libraries and a multidisciplinary research program, and some of the products and outcomes from immersive and embedded roles within that program. Several factors contributed to the development of this partnership: outreach efforts by the Engineering Library and the Data Services Librarian to faculty, staff, students, and research administrators; a research program director who has a history of engagement with the Libraries; and the funder’s data management and sharing mandates in the funding opportunity announcement for the research program.</p>
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