Visual overviews for discovering key papers and influences across research fronts

Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts , is an increasingly common task due to the growing amount of interdisciplinary collaboration. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across subdisciplines. This article applies a novel network-visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. To demonstrate the value of two-dimensional layouts with multiple regions and user control of link visibility, we conducted a design-oriented, preliminary case study with 6 domain experts over a 4-month period. The main benefits were being able (a) to easily identify key papers and see the increasing number of papers within a research front, and (b) to quickly see the strength and direction of influence across related research fronts.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/64320/1/21160_ftp.pd

Do peers see more in a paper than its authors?

Recent years have shown a gradual shift in the content of biomedical publications that is freely accessible, from titles and abstracts to full text. This has enabled new forms of automatic text analysis and has given rise to some interesting questions: How informative is the abstract compared to the full-text? What important information in the full-text is not present in the abstract? What should a good summary contain that is not already in the abstract? Do authors and peers see an article differently? We answer these questions by comparing the information content of the abstract to that in citances-sentences containing citations to that article. We contrast the important points of an article as judged by its authors versus as seen by peers. Focusing on the area of molecular interactions, we perform manual and automatic analysis, and we find that the set of all citances to a target article not only covers most information (entities, functions, experimental methods, and other biological concepts) found in its abstract, but also contains 20% more concepts. We further present a detailed summary of the differences across information types, and we examine the effects other citations and time have on the content of citances

Scottish Archaeological Research Framework: Future Thinking on Carved Stones

No abstract available

Disentangling the corporate entrepreneurship construct: conceptualizing through co-words

This study defines the conceptual structure of corporate entrepreneurship (CE) by looking at the terms scholars have used over the last 26 years of research. With the use of a co-word analysis, five distinctive dimensions of CE and the evolution of related key terms are identified: sustained regeneration, competitive advantage, external entrepreneurship, organizational rejuvenation, and domain redefinition. Over time scholars’ attention has shifted from strategy to entrepreneurship by highlighting the relevance of the terms ‘intrapreneurship’ and ‘entrepreneurial orientation’. Surprisingly, concepts related to strategic entrepreneurship and strategic renewal are less relevant than expected. Besides laying the ground for a shared conceptualization of CE, this study highlights how bibliomeitrics can contribute to decreasing conceptual ambiguity in emergent research fields, such as entrepreneurship. Implications for managers on how to strategically create and develop CE within different organizational settings are also discussed

Predicting Water Availability in the Antarctic Dry Valleys using Geographic Information Systems and Remote Sensing

Water is one of the most important ingredients for life on Earth. The presence or absence of biologically available water determines whether or not life will exist. Antarctica is an environment where abiotic constraints, particularly water, strongly influence the distribution and diversity of biota. As Antarctic biology is relatively simple when compared to more temperate climates, it is a prime location for researching constraints on biodiversity, and what may be the impacts of changes to these constraints resulting from climate change and human disturbance. This research uses Geographic Information Systems (GIS) and remote sensing to develop a relative water availability index of three Dry Valleys in Southern Victoria Land, Antarctica. This study area is being used for the IPY Terrestrial Biocomplexity project, an international collaboration researching the distribution, diversity and complexity of biology in the Dry Valleys. The development of a predictive water availability model will contribute greatly to their research goals. This thesis describes the sources of biologically available water in the Dry Valleys and its interaction with biota. Remotely sensed data of these sources is gathered and various methods of analysing the data are explored. This includes creating a mean snow cover distribution model from MODIS data over 4 summer seasons, and Landsat7 ETM+ surface temperature data. These data sets, combined with a high resolution LIDAR Digital Elevation Model and glacier and lake locations, are then analysed with GIS to produce a Compound Topographic Index (CTI), a model showing the likely accumulation and dispersal of liquid water given the spatial distribution of water sources and the flow of water over the terrain according to the influence of gravity. Visualisation techniques are used to validate the resulting model, including the use of 3D visualisation and comparison of drainage patterns using overlays of a high resolution ALOS image. This research concludes that GIS and remote sensing are valuable tools for predicting water distribution in Antarctica. Although cloud cover, varied illumination and differing spatial resolutions can create limitations, remote sensing's cost effective and environmentally sound method of data capture and the computational and spatial modelling capabilities of GIS make their use well suited to the Antarctic environment

Study on open science: The general state of the play in Open Science principles and practices at European life sciences institutes

Nowadays, open science is a hot topic on all levels and also is one of the priorities of the European Research Area. Components that are commonly associated with open science are open access, open data, open methodology, open source, open peer review, open science policies and citizen science. Open science may a great potential to connect and influence the practices of researchers, funding institutions and the public. In this paper, we evaluate the level of openness based on public surveys at four European life sciences institute

Understanding Lists: Umberto Eco\u27s Rhetoric of Communication and Signification

This project, Understanding Lists: Umberto Eco’s Rhetoric of Communication and Signification, begins and ends with an observation and warning suggested throughout Eco’s work: lists are the origin of culture and the Internet as the Mother of All Lists threatens to end culture. To understand this warning, I turn to Eco’s work on lists, contextualized within a 2009 exhibition at the Musée du Louvre and in an illustrated collection, The Infinity of Lists. This project offers an analysis of Eco’s understanding of lists concurrent to his commentary on the social and cultural implications of the algorithmic-obsessed Internet age. To understand his argument, this project collects hints of insight through his corpus. In Eco’s cultural aesthetics, he celebrates the notion of openness that invites and encourages audience participation in the interpretation of texts with multiple possibilities. With his interpretive semiotics, Eco offers a theory of culture grounded in signification and communication. Signification consists of the codes of culture that make meaning and interpretive response possible. Communication is the labor of sign production and interpretation. Throughout his literary praxis, Eco implements these theoretical notions into story-form, and with his fifth novel, The Mysterious Flame of Queen Loana, affirms the mutual necessity of communication and signification. Ultimately, Eco urges us to list as a response to the threats of algorithmic processing of big data that displaces and replaces the human interpreter. For Eco, listing a form of communication that requires the labor to wade through information, activate codes of signification, and interpret cultural meaning

Geovisualization of knowledge diffusion: Visualization of bibliographic data 1995-2009

Bibliometrics are an important research area within information and library science, which provides valuable insights about relationships between authors, publications, and knowledge domains. This study examined the geographic aspects of literature involving the visualization of bibliographic data published by authors residing in the contiguous United States. It determined where visualization of bibliometric research occurred and explored the spatial relationships among its contributors via institutional affiliation. The study involved five aspects: (1) cited publications, (2) citing publications, (3) cited-citing publication networks, (4) co-author networks and distances, and (5) hypothesis testing of average co-author distances over time. Using 102 publications identified from Thomson Reuters’ Web of Science in the field of visualization of bibliographic data, it demonstrated that spatial aspects of bibliographic data can be represented in ArcGIS as both points (institutions) and networks (cited-citing pairs). The study examined clustering of the bibliographic data based institutional affiliation (i.e., ZIP code) using a nearest neighbor analysis. A Visual Basic for Applications (VBA) script was used to create polylines for cited-citing publication and co-author networks. The networks were mapped using small multiples and animation. Average co-author distances were calculated for the co-author networks and temporal changes were explored formally using a nonparametric hypothesis test. The average nearest neighbor analysis found that both cited and citing publications involving visualization of bibliographic data were clustered. Visual inspection of the thematic maps showed clustering of both cited and citing maps concentrated in the following cities: Philadelphia, PA, Bloomington, IN, Sandia, NM, Stillwater, OK, and Tucson, AZ. Despite a statistically significant increase in the number co-authored publications on visualization of bibliographic data, there was no change in the average co-author distances from 2001-2009