Social and Behavioral Sciences Commons^™

Opportunities And Challenges Of Data Publication: A Case Study From Purdue, David Scherer, Lisa Zilinski, Courtney E. Matthews

Libraries Faculty and Staff Presentations

Beginning in 2011, there have been several policy changes directly affecting the management, preservation, and accessibility of publically-funded research and resulting research data in the United States. In January 18, 2011 the National Science Foundation (NSF) required data management plans to be submitted with all grant proposals. On February 22, 2013, the Office of Science and Technology Policy of the President of the United States extended a similar requirement to all federal agencies who have a research and development budget of more than $100 million. These requirements illustrate the need for further coordination and management of data as scholarship and …

The Next Page, Library And Information Technology

The Next Page

The Next Page is a semi-annual newsletter published by Bucknell University's Library and Information Technology department. The publication serves the community by providing software, project, and service updates. Regular features include a letter from the Vice President for L&IT, new staff updates, and interviews. This issue includes the following articles: "From the Vice President for Library and Information Technology," "A Better Place for Everything," "Bucknell University Intelligence Project," "Distributing Software," "New Tech from ITEC," "New Library and IT Staff," "Library and IT By the Numbers."

Dataset Metadata, Sai Deng

Faculty Scholarship and Creative Works

No abstract provided.

Digitization Is In The Details: Using Data From Patron Research Patterns To Enhance Accessibility, April K. Anderson-Zorn

Faculty and Staff Publications – Milner Library

Materials like yearbooks, catalogs, and university governance are highly requested items at a university archive. For Illinois State University, we decided to digitize these items to make them more accessible to our out-of-town alumni and researchers. Digitizing these materials was a huge accomplishment for the department and helped us achieve our goal of gaining a larger web presence with our patrons. But where do we go from here? All too often, archivists tend to think we know what our patrons want but in some cases, our digital efforts are rarely viewed online. What parameters can we follow in choosing materials …

Zach's News, Georgia Southern University, Zach S. Henderson Library

University Libraries News Online (2008-2023)

• New Web of Knowledge Databases

A Social History Of Technology In Libraries, Richard Hacken

Faculty Publications

For the International Conference on Information Systems and Technologies in Tangier, Morocco, on March 22, 2013, I presented a social history of technology in libraries over the past 30 years. In addition I speculated what the future may bring socially and technologically, obviously from my perspective as a librarian.

Willoughby Spit Shoreline Improvement Project Of Ocean View Beach, Maura Boswell

March 13, 2013: Regional Sea Level Rise Assessment, Adaptation and Flood Mitigation Projects

No abstract provided.

Data Information Literacy: Multiple Paths To A Single Goal, Megan R. Sapp Nelson

Libraries Faculty and Staff Presentations

This lightning talk presentation briefly covers each DIL team's experience working with a specific discipline and their response to identified data management/curation needs.

Effects Of Atmospheric Light Scattering On Spectroscopic Observations Of Greenhouse Gases From Space. Part 2: Algorithm Intercomparison In The Gosat Data Processing For Co2 Retrievals Over Tccon Sites, Sergey Oshchepkov, Andrey Bril, Tatsuya Yokota, Paul O. Wennberg, Nicholas M. Deutscher, Debra Wunch, Geoffrey C. Toon, Yukio Yoshida, Christopher W. O'Dell, David Crisp, Charles E. Miller, Christian Frankenberg, Andre Butz, Ilse Aben, Sandrine Guerlet, Otto Hasekamp, Hartmut Boesch, Austin Cogan, Robert Parker, David Griffith, Ronald Macatangay, Justus Notholt, Ralf Sussmann, Markus Rettinger, Vanessa Sherlock, John Robinson, Esko Kyro, Pauli Heikkinen, Dietrich G. Feist, Isamu Morino, Nikolay Kadygrov, Dmitry Belikov, Shamil Maksyutov, Tsuneo Matsunaga, Osamu Uchino, Hiroshi Watanabe

Faculty of Science, Medicine and Health - Papers: part A

This report is the second in a series of companion papers describing the effects of atmospheric light scattering in observations of atmospheric carbon dioxide (CO2) by the Greenhouse gases Observing SATellite (GOSAT), in orbit since 23 January 2009. Here we summarize the retrievals from six previously published algorithms; retrieving column-averaged dry air mole fractions of CO2 (XCO2) during 22 months of operation of GOSAT from June 2009. First, we compare data products from each algorithm with ground-based remote sensing observations by Total Carbon Column Observing Network (TCCON). Our GOSAT-TCCON coincidence criteria select satellite observations within a 5° radius of 11 …

Situating Neogeography, Matthew W. Wilson, Mark Graham

Geography Faculty Publications

No abstract provided.

Developing An Understanding Of Data Management Education: A Report From The Data Information Literacy Project, Jake Carlson, Lisa Johnston, Brian Westra, Mason Nichols

Libraries Faculty and Staff Presentations

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 librarian, and a faculty member representing a disciplinary group of students. Interviews of the students and faculty members present a detailed snapshot of graduate student needs in data management education. Following our study, educational programs …

Are Low-Skill Public Sector Workers Really Overpaid? A Quasi-Differenced Panel Data Analysis, Peter Siminski

Faculty of Commerce - Papers (Archive)

Public–private sectoral wage differentials have been studied extensively using quantile regression techniques. These typically find large public sector premiums at the bottom of the wage distribution. This may imply that low skill workers are ‘overpaid’, prompting concerns over efficiency. We note several other potential explanations for this result and explicitly test whether the premium varies with skill, using Australian data. We use a quasi-differenced Generalized Method of Moments (GMM) panel data model which has not been previously applied to this topic, internationally. Unlike other available methods, this technique identifies sectoral differences in returns to unobserved skill. It also facilitates a …

Addressing The Deficiencies In The Evidence-Base For Primary Practice In Regional Australia - Sentinel Practices Data Sourcing (Spds) Project: A Pilot Study, Abhijeet Ghosh, Karen E. Charlton, Lisa Girdo, Marijka J. Batterham, Keith Mcdonald

Faculty of Science, Medicine and Health - Papers: part A

Background Chronic disease risk on a population level can be quantified through health surveys, either continuous or periodic. To date, information gathered from primary care interactions, using sentinel sites, has not been investigated as a potentially valuable surveillance system in Australia.

Methods A pilot study was conducted in a single General Practice in a regional area of New South Wales, Australia to assess the feasibility of accessing data obtained through a computerised chronic disease management program that has been designed for desktop application (Pen Computer Systems (PCS) Clinical Audit Tool: ™ PCS CAT). Collated patient data included information on chronic …

More Thinking About Less Data: A Perspective From The 2nd Provence Summer Workshop, M Valenzuela, D Bartres-Faz, E Bullmore, A Fjell, M Maletic-Savetic, R Martins, N Solowij, M Yucel

Faculty of Social Sciences - Papers (Archive)

Doppler intuited that a sound’s pitch could be altered by the relative velocity between the source and an observer-70 years later Hubble used the same principle and 42 data points to prove the universe was indeed expanding. Arguably, no other data set of 0.042 Kb has done more to change our understanding of the cosmos. Although modest in volume, it took Hubble several years to acquire these precious numbers.

Cost And Time Aware Ant Colony Algorithm For Data Replica In Alpha Magnetic Spectrometer Experiment, Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong

Faculty of Engineering and Information Sciences - Papers: Part A

Huge collections of data have been created in recent years. Cloud computing provides a way to enable massive amounts of data to work together as data-intensive services. Considering Big Data and the cloud together, which is a practical and economical way to deal with Big Data, will accelerate the availability and acceptability of analysis of the data. Providing an efficient mechanism for optimized data-intensive services will become critical to meet the expected growth in demand. Because the competition is an extremely important factor in the marketplace, the cost model for data-intensive service provision is the key to provide a sustainable …

Sample Design Using Imperfect Design Data, Robert Graham Clark

Faculty of Engineering and Information Sciences - Papers: Part A

A well-designed sampling plan can greatly enhance the information that can be produced from a survey. Once a broad sample design is identified, specific design parameters such as sample sizes and selection probabilities need to be chosen. This is typically achieved using an optimal sample design, which minimizes the variance of a key statistic or statistics, expressed as a function of design parameters and population characteristics, subject to a cost constraint. In practice, only imprecise estimates of population characteristics are available, but the effects of this variability are usually ignored. A general approach to sample allocation allowing for imprecise design …

Approximation Algorithm For Data Broadcasting In Duty Cycled Multi-Hop Wireless Networks, Dianbo Zhao, Kwan-Wu Chin

Faculty of Engineering and Information Sciences - Papers: Part A

Broadcast is a fundamental operation in wireless networks. To this end, many past studies have studied the NP-hard, broadcast problem for always-on multi-hop networks. However, in wireless sensor networks, nodes are powered by batteries, meaning, they have finite energy. Consequently, nodes are required to have a low duty cycle, whereby they switch between active and sleep state periodically. This means that a transmission from a node may not reach all of its neighbors simultaneously. Consequently, any developed broadcast protocols must consider collisions and the wake-up times of neighboring nodes. Henceforth, this paper studies the minimum latency broadcast scheduling problem in …

Transmit Antenna Subset Selection With Power Balancing For High Data Rate Mimo-Ofdm Uwb Systems, Ngoc Phuc Le, Le Chung Tran, Farzad Safaei

Faculty of Engineering and Information Sciences - Papers: Part A

This paper proposes per-subcarrier transmit antenna subset selection with power balancing for MIMO-OFDM UWB systems to simultaneously improve the system error performance and increase data rates. The deployment of the per-subcarrier antenna subset selection may result in a power unbalance across antennas, which could cause power amplifiers (PAs) to operate in their non-linear regions. To overcome this disadvantage, we formulate a linear optimization problem for the optimal allocation of data subcarriers under a constraint that all antennas have the same number of assigned data symbols. This optimization problem could be applied to systems with an arbitrary number of multiplexed data …

Multivariate Statistic And Time Series Analyses Of Grain-Size Data In Quaternary Sediments Of Lake El'gygytgyn, Ne Russia, Alexander Francke, V Wennrich, M A. Sauerbrey, O Juschus, Martin Melles, J Brigham-Grette

Faculty of Science, Medicine and Health - Papers: part A

Lake El'gygytgyn, located in the Far East Rus- sian Arctic, was formed by a meteorite impact about 3.58 Ma ago. In 2009, the International Continental Scientific Drilling Program (ICDP) at Lake El'gygytgyn obtained a continu- ous sediment sequence of the lacustrine deposits and the up- per part of the impact breccia. Here, we present grain-size data of the past 2.6 Ma. General downcore grain-size varia- tions yield coarser sediments during warm periods and finer ones during cold periods. According to principal component analysis (PCA), the climate-dependent variations in grain- size distributions mainly occur in the coarse silt and very fine …

Towards Minimizing Cost For Composite Data-Intensive Services, Lijuan Wang, Changyan Di, Yan Li, Jun Shen, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part A

Service-oriented architecture provides a scalable and flexible framework to implement loosely-coupled, standardsbased, and protocol-independent distribute computing. One of its goals is to make use of the distributed services with different functions to build powerful composite services. Service composition is an active research area in service computing. Existing research is endeavoring to achieve desirable quality levels of composite services and improve customer satisfaction. The service-oriented approach using Web services is also of great interest for the implementation of data-intensive processes such as data mining, image processing and so on. The applications based on data-intensive services have become the most challenging type …

Economical Data-Intensive Service Provision Supported With A Modified Genetic Algorithm, Lijuan Wang, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

The explosion of digital data and the dependence on data-intensive services have been recognized as the most significant characteristics of the decade. Providing efficient mechanisms for optimized data-intensive services will become critical to meet the expected growing demand. In order to create a cost minimizing data-intensive service composition solution, we design two steps and two negotiation processes over the lifetime of a data-intensive service composition. The solution for the first step is presented in this paper. The proposed service selection algorithm is based on a modified genetic algorithm, which some modifications of crossover and mutation operators are adopted in order …

Influence Of Initial Severity Of Depression On Effectiveness Of Low Intensity Interventions: Meta-Analysis Of Individual Patient Data, Peter Bower, Evangelos Kontopantelis, Alex Sutton, Tony Kendrick, David A. Richards, Simon Gilbody, Sarah Knowles, Pim Cuijpers, Gerhard Andersson, Helen Christensen, Bjorn Meyer, Marcus Huibers, Filip Smit, Annemieke Van Straten, Lisanne Warmerdam, Michael Barkham, Linda Bilich, Karina Lovell, Emily Tsung-Hsueh Liu

Faculty of Social Sciences - Papers (Archive)

Objective To assess how initial severity of depression affects the benefit derived from low intensity interventions for depression. Design Meta-analysis of individual patient data from 16 datasets comparing low intensity interventions with usual care. Setting Primary care and community settings. Participants 2470 patients with depression. Interventions Low intensity interventions for depression (such as guided self help by means of written materials and limited professional support, and internet delivered interventions). Main outcome measures Depression outcomes (measured with the Beck Depression Inventory or Center for Epidemiologic Studies Depression Scale), and the effect of initial depression severity on the effects of low intensity …

The Vicious Cycle: Fundraising And Perceived Viability In U.S. Presidential Primaries, Cameron A. Shelton, James J. Feigenbaum

CMC Faculty Publications and Research

Scholars of presidential primaries have long posited a dynamic positive feedback loop between fundraising and electoral success. Yet existing work on both directions of this feedback remains inconclusive and is often explicitly cross-sectional, ignoring the dynamic aspect of the hypothesis. Pairing high-frequency FEC data on contributions and expenditures with Iowa Electronic Markets data on perceived probability of victory, we examine the bidirectional feedback between contributions and viability. We find robust, significant positive feedback in both directions. This might suggest multiple equilibria: a candidate initially anointed as the front-runner able to sustain such status solely by the fundraising advantage conferred despite …

Der-Nsw Evaluation: Conclusions From The 2013 Data Collection, Sarah Howard, Adrian Mozejko

Faculty of Social Sciences - Papers (Archive)

The following report considers final results of the evaluation of the Australian Commonwealth Government's Digital Education Revolution in New South Wales (DERNSW) one-to-one laptop program, in relation to student and teachers' developing engagement and use of ICTs.

Data Information Literacy: Multiple Paths To A Single Goal, Jake Carlson, Sarah Wright, Brian Westra, Jon Jeffryes

Libraries Faculty and Staff Presentations

The Institute of Museum and Library Services funded a two-year project for five teams (each made up of two librarians, one of whom specialized in data services, and a faculty researcher) from four institutions (Purdue University, University of Oregon, University of Minnesota, and Cornell University) to examine the data information literacy needs of graduate student researchers. After identifying the needs of their audience each team developed a tailored approach to bring instruction to their respective graduate students. The involvement of a faculty researcher in each team and pre-instruction interviews of graduate students ensured that the program developed was indeed relevant …

A Random Effect Block Bootstrap For Clustered Data, Raymond L. Chambers, Hukum Chandra

Faculty of Engineering and Information Sciences - Papers: Part A

Random effects models for hierarchically dependent data, e.g. clustered data, are widely used. A popular bootstrap method for such data is the parametric bootstrap based on the same random effects model as that used in inference. However, it is hard to justify this type of bootstrap when this model is known to be an approximation. In this paper we describe a random effect block bootstrap approach for clustered data that is simple to implement, free of both the distribution and the dependence assumptions of the parametric bootstrap and is consistent when the mixed model assumptions are valid. Results based on …

An Extension Of The Wilcoxon-Mann-Whitney Test For Analyzing Rt-Qpcr Data, Jan De Neve, Olivier Thas, Jean-Pierre Ottoy, Lieven Clement

Faculty of Engineering and Information Sciences - Papers: Part A

Classical approaches for analyzing reverse transcription quantitative polymerase chain reaction (RT-qPCR) data commonly require normalization before assessing differential expression (DE). Normalization often has a substantial effect on the interpretation and validity of the subsequent analysis steps, but at the same time it causes a reduction in variance and introduces dependence among the normalized outcomes. These effects can be substantial, however, they are typically ignored. Most normalization techniques and methods for DE focus on mean expression and are sensitive to outliers. Moreover, in cancer studies, for example, oncogenes are often only expressed in a subsample of the populations during sampling. This …

A Personalized Hybrid Recommendation System Oriented To E-Commerce Mass Data In The Cloud, Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

Personalized recommendation technology in Ecommerce is widespread to solve the problem of product information overload. However, with the further growth of the number of E-commerce users and products, the original recommendation algorithms and systems will face several new challenges: (1) to model user’s interests more accurately; (2) to provide more diverse recommendation modes; and (3) to support large-scale expansion. To address these challenges, from the actual demands of E-commerce applications (as Made-in-China website), a personalized hybrid recommendation system, which can support massive data set, is designed and implemented in this paper by using Cloud technology. Hereinto, the recommendation algorithms are …

Parameter Identification Study Of Frequency Response Data For A Trilayer Conjugated Polymer Actuator Displacement Model, Emmanuel D. Blanchard, Mitchell J. Smith, Chuc H. Nguyen

Faculty of Engineering and Information Sciences - Papers: Part A

This article investigates the effect of three uncertain parameters on a model of conjugated polymer actuators. These uncertain parameters are the diffusion coefficient (D), the resistance (R), and the double-layer WKLFNQHVV / 7KH PRGHO VHQVLWLvity to these parameters is analyzed and a parameter estimation study is performed using artificially generated data as well as laboratory yielded experimental measurements. The parameter estimation method used in this article is based on a Bayesian cost function, and gives us an insight on how much the estimation can be trusted, which is useful information for the design of controllers. Results indicate that for stochastic …

Choosing An Optimal Model For Failure Data Analysis By Graphical Approach, Tieling Zhang, Richard Dwight

Faculty of Engineering and Information Sciences - Papers: Part A

Many models involving combination of multiple Weibull distributions, modification of Weibull distribution or extension of its modified ones, etc. have been developed to model a given set of failure data. The application of these models to modeling a given data set can be based on plotting the data on Weibull probability paper (WPP). Of them, two or more models are appropriate to model one typical shape of the fitting plot, whereas a specific model may be fit for analyzing different shapes of the plots. Hence, a problem arises, that is how to choose an optimal model for a given data …