1,721,103 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
CC*DNI DIBBS: Merging Science and Cyberinfrastructure Pathways: The Whole Tale (Lightning Talk)
No full textWhole-Tale Lightning Talk for NSF CSSI PI Meeting, February 13-14, 2020, Seattle, Washington.PI: Bertram Ludäscher. Co-Pis: Victoria Stodden, Matthew Turk, Niall Gaffney, Kyle Chard, Matt Jones, Jaroslaw Nabrzyski</div
Whole-Tale: A Platform for Reproducible Research
No full textWhole-Tale Poster for NSF CSSI PI Meeting, February 13-14, 2020, Seattle, Washington.PI: Bertram LudäscherCo-Pis: Victoria Stodden, Matthew Turk, Niall Gaffney, Kyle Chard, Matt Jones, Jaroslaw Nabrzyski</div
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Globus Automate: A Distributed Research Automation Platform
No full textExponential increases in data volumes and velocities are overwhelming finite human capabilities.
Continued progress in science and engineering demands that we automate a broad spectrum of
currently manual research data manipulation tasks, from transfer and sharing to acquisition,
publication, indexing, analysis, and inference. To address these needs we are developing a fullfeatured distributed research automation platform, Globus Automate. Globus Automate is designed
to increase productivity and research quality across many science disciplines by allowing scientists
to offload the management of a broad range of data acquisition, manipulation, and analysis tasks to
a cloud-hosted distributed research automation platform. Globus Automate fills an important and previously un-met need in research cyberinfrastructure (CI).
It addresses the problem of securely and reliably automating, for many thousands of scientists,
sequences of data management tasks that may span locations, storage systems, administrative
domains, and timescales, and integrate both mechanical and human inputs. This is a different
problem to that of programming parallel workflows, as handled by HTCondor [1], Parsl [2], and
Pegasus [3], or building integrated data management systems, as handled by iRODS [4], Rucio [5],
and business rules engines [6]. IFTTT is more similar, being simple, SaaS, and extensible to new
events and actions, but it does not integrate with CI security or resources, or handle sequences of
actions. Our Automate implementation leverages Amazon Web Services. It uses Step Functions for flow
automation, Simple Queue Service for event delivery, Reliable Database Service for persisting
state, and Lambda for managing action executions. These mature, cloud- hosted services simplify
delivery of a reliable, scalable service, allowing us to provide advanced capabilities to many
scientists at modest cost. The Automate service enables the detection of events at
Globus endpoints and other sources; the execution by the cloud-hosted Globus Automate engine of
user-supplied automation flows either manually or as a result of data events; and the invocation of
actions from those automation flows, including actions provided by Globus endpoints and services.
The service is easily extensible by anyone via the definition of new events and actions to meet the
needs of specific communities.We have deployed Globus Automate to simplify and accelerate research for a diverse collection of
scientific domains, from Materials Science to Cosmology, and scientific instruments, including light
source synchrotrons and scanning electron microscopes. In this talk will present Globus Automate,
its architecture and prototype implementation. We will frame this talk in the context of a real-world
neurocartography use case in which Globus Automate is used to perform a complex image
reconstruction and analysis pipeline using data obtained from Argonne National Laboratory's
Advanced Light Source. This flow involves a complex, distributed, analysis and publication process
to perform data-driven analyses of large unsectioned brain volumes, generated at > 20GB per
minute, using HPC resources.References[1] Michael J Litzkow, Miron Livny, and Matt W Mutka. Condor–a hunter of idle workstations. In 8th
International Conference on Distributed Computing Systems, pages 104–111. IEEE, 1988. [2] Yadu Babuji, Alison Brizius, Kyle Chard, Ian Foster, Daniel S. Katz, Michael Wilde, and Justin
Wozniak. Introducing Parsl: A Python Parallel Scripting Library, August 2017. [3] E. Deelman, K. Vahi, G. Juve, M. Rynge, S. Callaghan, P.J. Maechling, R. Mayani, W. Chen,
R.F. da Silva, M. Livny, et al. Pegasus, a workflow management system for science automation.
Future Generation Computer Systems, 46:17–35, 2015. [4] Arcot Rajasekar, Reagan Moore, Chien-yi Hou, Christopher A Lee, Richard Marciano, Antoine
de Torcy, Michael Wan, Wayne Schroeder, Sheau-Yen Chen, Lucas Gilbert, Paul Tooby, and Bing
Zhu. iRODS Primer: Integrated rule-oriented data system. Synthesis Lectures on Information
Concepts, Retrieval, and Services, 2(1):1–143, 2010. [5] Vincent Garonne, R Vigne, G Stewart, M Barisits, M Lassnig, C Serfon, L Goossens, A Nairz,
Atlas Collaboration, et al. Rucio–The next generation of large scale distributed system for ATLAS
data management. In Journal of Physics: Conference Series, volume 513, page 042021. IOP
Publishing, 2014. [6] Ayman Meidan, Julián Alberto Garcıá -Garcıá
, MJ Escalona, and I Ramos. A survey on business
processes management suites. Computer Standards & Interfaces, 51:71–86, 2017.ABOUT THE AUTHORS Ryan Chard joined Argonne National Laboratory in 2016 where he was awarded a Maria Goeppert
Mayer Fellowship. His research focuses on the development of cyberinfrastructure to enable
scientific research. He is particularly interested in automation platforms and applying scientific
applications at scale on the cloud. He has a Ph.D. in Computer Science from Victoria University of
Wellington, New Zealand and a Masters of Science from the same university. His research
interests include high performance computing, scientific computing, cloud computing, cloud
economics, and network inference. Kyle Chard is a Senior Researcher and Fellow in the Computation Institute at the University of
Chicago and Argonne National Laboratory. He received his Ph.D. in computer science from Victoria
University of Wellington. His research interests include distributed meta-scheduling, cloud
computing, economic resource allocation, social computing, and services computing. Ian Foster is an Argonne Senior Scientist and Distinguished Fellow and the Arthur Holly Compton
Distinguished Service Professor of Computer Science. Ian received a BSc (Hons I) degree from the
University of Canterbury, New Zealand, and a PhD from Imperial College, United Kingdom, both in
computer science. His research deals with distributed, parallel, and data-intensive computing
technologies, and innovative applications of those technologies to scientific problems in such
domains as climate change and biomedicine. Methods and software developed under his
leadership underpin many large national and international cyberinfrastructures. Ian is a fellow of the
American Association for the Advancement of Science, the Association for Computing Machinery,
and the British Computer Society. His awards include the Global Information Infrastructure (GII)
Next Generation award, the British Computer Society's Lovelace Medal, R&D Magazine's Innovator
of the Year, and an honorary doctorate from the University of Canterbury, New Zealand. He was a
co-founder of Univa UD, Inc., a company established to deliver grid and cloud computing solutions.</div
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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