An Exploratory Sequential Mixed Methods Approach to Understanding Researchers’ Data Management Practices at UVM: Findings from the Qualitative Phase

The objective of this article is to report on the first qualitative phase of an exploratory sequential mixed methods research design focused on researcher data management practices and related institutional research data services. The aim of this study is to understand data management behaviors of faculty at the University of Vermont (UVM), a higher-research activity Research University, in order to guide the development of campus research data management services. The population of study was all faculty who received National Science Foundation (NSF) grants between 2011 and 2014 who were required to submit a data management plan (DMP); qualitative data was collected in two forms: (1) semi-structured interviews and (2) document analysis of data management plans. From a population of 47 researchers, six were included in the interview sample, representing a broad range of disciplines and NSF Directorates, and 35 data management plans were analyzed. Three major themes were identified through triangulation of qualitative data sources: data management activities, including data dissemination and data sharing; institutional research support and infrastructure barriers; and perceptions of data management plans and attitudes towards data management planning. The themes articulated in this article will be used to design a survey for the second quantitative phase of the study, which will aim to more broadly generalize data management activities at UVM across all disciplines

An Exploratory Sequential Mixed Methods Approach to Understanding Researchers’ Data Management Practices at UVM: Integrated Findings to Develop Research Data Services

This article reports on the integrated findings of an exploratory sequential mixed methods research design aimed to understand data management behaviors and challenges of faculty at the University of Vermont (UVM) in order to develop relevant research data services. The exploratory sequential mixed methods design is characterized by an initial qualitative phase of data collection and analysis, followed by a phase of quantitative data collection and analysis, with a final phase of integration or linking of data from the two separate strands of data. A joint display was used to integrate data focused on the three primary research questions: How do faculty at UVM manage their research data, in particular how do they share and preserve data in the long-term?; What challenges or barriers do UVM faculty face in effectively managing their research data?; and What institutional data management support or services are UVM faculty interested in? As a result of the analysis, this study suggests four major areas of research data services for UVM to address: infrastructure, metadata, data analysis and statistical support, and informational research data services. The implementation of these potential areas of research data services is underscored by the need for cross-campus collaboration and support

An Exploratory Sequential Mixed Methods Approach to Understanding Researchers’ Data Management Practices at UVM: Findings from the Quantitative Phase

This article reports on the second quantitative phase of an exploratory sequential mixed methods research design focused on researcher data management practices and related institutional support and services. The study aims to understand data management activities and challenges of faculty at the University of Vermont (UVM), a higher research activity Research University, in order to develop appropriate research data services (RDS). Data was collected via a survey, built on themes from the initial qualitative data analysis from the first phase of this study. The survey was distributed to a nonrandom census sample of full-time UVM faculty and researchers (P=1,190); from this population, a total of 319 participants completed the survey for a 26.8% response rate. The survey collected information on five dimensions of data management: data management activities; data management plans; data management challenges; data management support; and attitudes and behaviors towards data management planning. Frequencies, cross tabulations, and chi-square tests of independence were calculated using demographic variables including gender, rank, college, and discipline. Results from the analysis provide a snapshot of research data management activities at UVM, including types of data collected, use of metadata, short- and long-term storage of data, and data sharing practices. The survey identified key challenges to data management, including data description (metadata) and sharing data with others; this latter challenge is particular impacted by confidentiality issues and lack of time, personnel, and infrastructure to make data available. Faculty also provided insight to RDS that they think UVM should support, as well as RDS they were personally interested in. Data from this study will be integrated with data from the first qualitative phase of the research project and analyzed for meta-inferences to help determine future research data services at UVM

Promoting Food Security: The Community Food Security Coalition

This article discusses community food security as a socio-economic issue, and highlights the Community Food Security Coalition (http://www.foodsecurity.org/), a non-profit organization that is “dedicated to building strong, sustainable, local and regional food systems that ensure access to affordable, nutritious, and culturally appropriate food for all people at all times

What\u27s the Deal with Data? Understanding Research Data Management & Support at UVM

In 2011, the National Science Foundation (NSF) began requiring that researchers submit two-page data management plans (DMPs) with their grant applications in order to demonstrate how they will preserve and provide long-term access to federally-funded research data. In 2013, the White House Office of Science & Technology Policy (OSTP) issued a memorandum that requires all granting agencies to develop a plan to make both the data and published articles of federally-funded research publicly available, free of charge. These policies directly impact the University of Vermont: in FY 2014, UVM received 615 grants and contracts amounting to $128 million, 70% of which was through Federal grants. This presentation shares initial findings from an exploratory sequential mixed methods research project focusing on the data management practices and challenges of faculty at the University of Vermont. In the first qualitative phase of this project, a document analysis of successful DMPs was coded for emergent themes related to data management planning. In-person, semi-structured interviews were also conducted to gather more in-depth information about data management planning, including challenges and issues of support. Themes were triangulated and are presented here, along with future directions for research

Mixed Methods Research in LIS Literature: A Scoping Review

This poster presentation introduces the initial stages of a scoping review, mapping the existing mixed methods research (MMR) studies in the field of Library and Information Science (LIS) published between 2013-2015. While MMR has no universal definition, it can generally be defined as a mixing of qualitative and quantitative research methods or analytic techniques in a single study (Creswell, 2010). Mixed methods offers a third research paradigm, which aligns more closely with the pragmatic approach being adopted by research which focuses on the research question driving the methods, and not the inclinations of the researcher (Onwuegbuzie & Leech, 2005; Small, 2011; Yoshikawa, Weisner, Kalil & Way, 2008). In order to expand research methods to best answer LIS research questions, a better understanding of MMR becomes critical for its useful implementation. The research questions guiding this scoping review are: How is MMR being used in LIS research? What types of qualitative and quantitative methods are being used within a MMR study? How are researchers defining and classifying these studies in relation to the most prominent definitions within the MMR community? What types of research questions are being addressed through MMR? This scoping review will allow academic and research librarians to see how their colleagues are implementing MMR across the field in the intention that they will have a better understanding of mixed methods approaches and feel more confident in using them. The poster presentation will report on the search strategy and initial findings of this scoping review

Identification of target-specific bioisosteric fragments from ligand-protein crystallographic data

Bioisosteres are functional groups or atoms that are structurally different but that can form similar intermolecular interactions. Potential bioisosteres were identified here from analysing the X-ray crystallographic structures for sets of different ligands complexed with a fixed protein. The protein was used to align the ligands with each other, and then pairs of ligands compared to identify substructural features with high volume overlap that occurred in approximately the same region of geometric space. The resulting pairs of substructural features can suggest potential bioisosteric replacements for use in lead-optimisation studies. Experiments with 12 sets of ligand-protein complexes from the Protein Data Bank demonstrate the effectiveness of the procedure

Dysregulated protocadherin-pathway activity as an intrinsic defect in induced pluripotent stem cell-derived cortical interneurons from subjects with schizophrenia.

We generated cortical interneurons (cINs) from induced pluripotent stem cells derived from 14 healthy controls and 14 subjects with schizophrenia. Both healthy control cINs and schizophrenia cINs were authentic, fired spontaneously, received functional excitatory inputs from host neurons, and induced GABA-mediated inhibition in host neurons in vivo. However, schizophrenia cINs had dysregulated expression of protocadherin genes, which lie within documented schizophrenia loci. Mice lacking protocadherin-α showed defective arborization and synaptic density of prefrontal cortex cINs and behavioral abnormalities. Schizophrenia cINs similarly showed defects in synaptic density and arborization that were reversed by inhibitors of protein kinase C, a downstream kinase in the protocadherin pathway. These findings reveal an intrinsic abnormality in schizophrenia cINs in the absence of any circuit-driven pathology. They also demonstrate the utility of homogenous and functional populations of a relevant neuronal subtype for probing pathogenesis mechanisms during development