1,025,111 research outputs found
Presentations Digital Science Showcase Philadelphia
No full text<p>Presentations from the recent Digital Science Showcase events that took place in the US in June 2015.</p
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Presentations Digital Science Showcase LA 2015
No full text<p>Presentations from the Digital Science Showcase Event in Los Angeles which took place in June 2015.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Research Transformation: Change in the era of AI, open and impact: voices from the academic community
No full textA Digital Science Report on research transformation, 2024.The way we interact with information can amplify our ability to make connections, and in doing so transforms how we understand the world. Supercharged by the AI moment that we are in, the steady march of digital transformation in society over the last three decades is primed for rapid evolution. What is true for society, is also doubly so for research. Alongside ground-breaking research and discoveries is the constant invitation to adapt to new knowledge and abilities. Combine the general imperative within the research sector to innovate with the rapidly evolving capabilities of generative AI and it is safe to say that expectations are high. Taking effective advantage of new possibilities as they arise however, requires successful coordination within society and systems. At Digital Science, we have always sought to be an integral part of research transformation, aiming to provide products that enable the research sector to evolve research practice – from collaboration and discovery through to analytics and administration. Our ability to serve clients from research institutions to funders, publishers, and industry has placed us in a unique position to facilitate change across the sector, not simply within silos, but between them.MM202
Digital Science Portfolio Lightning Talks - Altmetric, Dimensions, Figshare & Symplectic
No full textDigital Science Portfolio Lightning Talks - Altmetric, Dimensions, Figshare & Symplectic</p
Presentations from the Digital Science User Meeting 2019 - North America
No full textThese are the presentation slides presented at the Digital Science User Meeting in Chicago 1st and 2nd of October 201
Digital Science and AI
No full textPresentation given at the Figshare and Symplectic APAC User Conference in Sydney, 19-20 of February 2024 on Digital Science and AI.</p
Digital Science Workshop Report
No full text<p>The Digital Science Workshop series represents a unique opportunity to partner with academic, private and public institutes as well as fellow commercial enterprises to achieve the greater common good of identifying inefficiencies and spotlighting best practices across all facets of the research landscape.</p>
<p>A key mechanism we employ in our workshops is to create panels of experts derived from diverse perspectives. For we know well that improved efficiencies in research extend beyond the researcher’s office or laboratory. Research is powerfully shaped by the scholarly publisher, the private and public research funding agency and the academic administrator as much as by principal investigators, postdoctoral scholars and graduate students -- each a domain expert with valuable insights to share.</p
A Connectionist and Multivariate Approach to Science Maps: Som, Clustering and Mds Applied to Library & Information Science Research.
No full textThe visualization of scientific field structures is a classic of scientometric studies. This paper presents a domain analysis of the library and information science discipline based on author co-citation analysis (ACA) and journal cocitation analysis (JCA). The techniques used for map construction are the self-organizing map (SOM) neural
algorithm, Ward’s clustering method and multidimensional
scaling (MDS). The results of this study are compared with
similar research developed by Howard White and Katherine
McCain [1]. The methodologies used allow us to confirm that
the subject domains identified in this paper are, as well,
present in our study for the corresponding period. The appearance of studies pertaining to library science reveals
the relationship of this realm with information science.
Especially significant is the presence of the management on the journal maps. From a methodological standpoint, meanwhile, we would agree with those authors who consider
MDS, the SOM and clustering as complementary methods
that provide representations of the same reality from different analytical points of view. Even so, the MDS representation is the one offering greater possibilities for the structural representation of the clusters in a set of variables
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