This paper describes a unique two-step methodology used to construct six linked bibliometric datasets covering the sequencing of Saccharomyces cerevisiae, Homo sapiens, and Sus scrofa genomes. First, we retrieved all sequence submission data from the European Nucleotide Archive (ENA), including accession numbers associated with each species. Second, we used these accession numbers to construct queries to retrieve peer-reviewed scientific publications that first linked to these sequence lengths in the scientific literature. For each species, this resulted in two associated datasets: 1) A .csv file documenting the PMID of each article describing new sequences, all paper authors, all institutional affiliations of each author, countries of institution, year of first submission to the ENA, and the year of article publication, and 2) A .csv file documenting all institutions submitting to the ENA, number of nucleotides sequenced, number of submissions per institution in a given year, and years of submission to the database. In several upcoming publications, we utilise these datasets to understand how institutional collaboration shaped sequencing efforts, and to systematically identify important institutions and changes in network structures over time. This paper, therefore, should aid researchers who would like to use these data for future analyses by making the methodology that underpins it transparent. Further, by detailing our methodology, researchers may be able to utilise our approach to construct similar datasets in the future.
For full-text https://f1000research.com/articles/8-1200
Author(s): Mark Wong, Rhodri Leng
Organization(s): University of Glasgow, University of Edinburgh
In the last 40 years, the aeronautical industry has managed to move from a specialized sector to a worldwide leading industry. Companies, governments and associations all over the world acknowledge the importance of the aviation industry in supporting global development and the economy. However, aviation will be facing new challenges related to sustainability and performance in a technological environment in evolution. To succeed, the aeronautical industry must keep innovation as one of its main assets. It must master a wide range of technologies and then collaborate to integrate them into an aircraft design and development program. A collaborative approach to innovation is key to achieve these goals. The main purpose of this paper is to analyze the structure of technological innovation networks in the aviation industry and to characterize the
map of the “Aviation Technology Space”. Two different approaches and methods are used. In one approach, we performed a bibliometric network analysis of aviation research scientific publications using a keyword co-occurrence analysis method to map the aerospace collaboration structures. Complementarily, we performed a patent analysis to evaluate the innovation capacity of the aviation industry in the cutting-edge technologies previously identified. From the results of this analysis, the paper provides recommendations for future innovation and research policies to allow the sector to fulfill the demanding goals by the year 2050.
For FULL-TEXT click here
Author(s): Rosa Maria Arnaldo Valdés, Serhat Burmaoglu, Vincenzo Tucci, Luiz Manuel Braga da Costa Campos, Lucia Mattera, Víctor Fernando Gomez Comendador
Organization(s): Universidad Politécnica de Madrid, Katip Celebi University
South-south collaboration on health and development research is a critical mechanism for social and economic progress. It allows sharing and replicating experiences to find a “southern solution” to meet shared health challenges, such as access to adequate HIV/AIDS prevention and treatment. This study aimed to generate evidence on the dynamics of south-south collaboration in HIV/AIDS research, which could ultimately inform stakeholders on the progress and nature of collaboration towards increased research capacities in low- and middle-income countries (LMIC).
METHODS: Bibliometric and social network analysis methods were used to assess the 10-year (2006-2015) scientific contribution of LMIC, through the analysis of scientific publications on HIV/AIDS prevention and/or treatment. Five dimensions oriented the study: knowledge production, co-authorship analysis, research themes mapping, research types classification and funding sources.
RESULTS: Publications involving LMIC have substantially increased overtime, despite small expression of south-south collaboration. Research themes mapping revealed that publication focus varied according to collaborating countries’ income categories, from diagnosis, opportunistic infections and laboratory-based research (LMIC single or LMIC-LMIC) to human behavior and healthcare, drug therapy and mother to child transmission (LMIC-HIC). The analysis of research types showed that south-south collaborations frequently targeted social sciences issues. Funding agencies acknowledged in south-south collaboration also showed diverse focus: LMIC-based funders tended to support basic biomedical research whereas international/HIC-based funders seem to cover predominantly social sciences-oriented research.
CONCLUSIONS: Although the global environment has fostered an increasing participation of LMIC in collaborative learning models, south-south collaboration on HIV/AIDS prevention and/or treatment research seemed to be lower than expected, stressing the need for strategies to foster these partnerships. The evidence presented in this study can be used to strengthen a knowledge platform to inform future policy, planning and funding decisions, contributing to the development of enhanced collaboration and a priority research agenda for LMICs.
Link to FULL-TEXT https://www.ncbi.nlm.nih.gov/pubmed/29490665
Author(s): Bruna Fonseca, Priscila Albuquerque, Ed Noyons, Fabio Zicker
Organization(s): Center for Technological Development in Health (CDTS) at Oswaldo Cruz Foundation (Fiocruz), Leiden University
Source: Global Health
Understanding how a technology is introduced and shared in a society has a strategic value for the planning of technological development and assessing new market opportunities. Among other technologies, microscopy has had a significant role in advancing different fields of science. In Brazil, its use spans from biomedical to engineering areas. Here, we used social network analysis (SNA) to map and quantify the flow of interaction between Brazilian researchers involved in microscopy techniques. The analysis examines co-occurrence of thematic networks and scientific co-authorship in articles published in a ten years window, as retrieved from Scopus database. The results showed an increasing volume of publications using microscopy in Brazil. The two major areas of interest are material and life sciences, which present significant intra-regional interaction. USA, Spain, Germany, Portugal and the United Kingdom are the main partner countries for international scientific collaborations. The share of Brazilian publications applying microscopy follows the global trends, with a slight predominance in health and life sciences. Our results provide a context of the strengths and gaps of the field in Brazil and may help to inform researchers and policy makers for further advancing the field.
Author(s): Priscila C. Albuquerque, Brunade Paula Fonseca e Fonseca, Wendell Girard-Dias, Fabio Zicker, Wanderley de Souza, Kildare Miranda
Organization(s): Fundação Oswaldo Cruz, Universidade Federal do Rio de Janeiro
Global academic exchange and cooperation have become an increasing trend in both academia and industry, but how to quickly and effectively identify potential partners is becoming an urgent problem. This paper proposes a link prediction-based model to help researchers identify partners from a large collection of academic articles in a given technological area. We initially construct a co-authorship network, and take a series of indices based on network and similarity of researchers into consideration. A fitting model of link prediction is then established, in which logistic regression analysis is involved. An empirical study on four journals of informetrics is conducted to demonstrate the reliability of the proposed method.
Author(s): Lu Huang, Yihe Zhu, Yi Zhang, Xiao Zhou, Xiang Jia
Organization(s): Beijing Institute of Technology
Source: 2018 Portland International Conference on Management of Engineering and Technology (PICMET)
In this study, research collaboration in the context of South African Information and Communication for Development (ICT4D) researchers was investigated using a mixed methods approach. South Africa, a country with stark development challenges and on the other hand a well-established ICT infrastructure, provides an appropriate context for ICT4D research. Firstly, a quantitative analysis of South African research collaboration between 2003 and 2016 was conducted to determine the existing research collaboration patterns of South African ICT4D researchers. This is based on the publications in three top ICT4D journals namely the Electronic Journal of Information Systems in Developing Countries (EJISDC), Information Technologies & International Development (ITID), and Information Technology for Development (ITD). The results show that most co-authored papers were intra-institutional collaborations, with limited inter-institutional collaboration between South African authors or between South African and other African authors. Secondly, interviews were conducted with South African researchers who emerged as inter- and intra-institutional collaborators to gain insight into the technology, drivers and barriers affecting South African research collaboration. We report our findings and discuss the implications for employing research collaboration as a mechanism for addressing inequality and supporting inclusion.
Author(s): Judy van Biljon, Filistea Naude
Organization(s): University of South Africa
Source: This Changes Everything – ICT and Climate Change: What Can We Do? (IFIP International Conference on Human Choice and Computers 2018)
In recent decades, there has been a notable shift toward R&D that crosses disciplines and organizational boundaries. One reason is because of the complexity and scope of the problems that society is currently facing (e.g., global warming, emerging infectious diseases, and loss of natural resources). These problems require innovative solutions that integrate knowledge from different disciplines. The concept of networking R&D is therefore increasingly important. However, the main challenge in initiating any cross discipline development is how to identify the potential groups of experts for collaboration and which areas of expertise they specialize in. One common expert identification method is based on social connections, i.e., ask people and follow referrals until finding someone with appropriate expertise. However, this could be a time-consuming and biased task. Fortunately with the availability and accessibility of research literature and the advancement in information retrieval, natural language processing, and machine learning, potential experts can be identified automatically from such information sources.
This study aims to apply bibliometric analysis of research publications to discover potential research collaboration among key researchers. To address this challenge, two research questions are needed to be answered: (1) who are the key researchers/practitioners in the specified field? and (2) are there any forms of collaboration or linkages among these experts in the field?
The analysis can identify experts whose relationships have already been established as well as for those who never know each other, yet seem to share similar research interests. The latter case can be considered as a hidden network in which the collaboration among those experts can also be initiated.
Author(s): Nathasit Gerdsri, Alisa Kongthon
Organization(s): National Electronics and Computer Technology Center, Mahidol University
Source: International Journal of Business
Splitting countries into two groups—rich and poor; developed (the “North”) and developing (the “South”); leaders and followers—appears to us to be progressively more simplistic, unrealistic and a heritage from colonial times. Triggered by the first wave of globalization, the share of world income going to today’s wealthy nations soared from twenty to almost seventy percent between 1820 and 1990, a fact that supported and strengthened this dichotomic vision; however, the new globalization driven by information technology has propelled the rapid industrialization of several developing nations and simultaneous deindustrialization of developed nations, a phenomenon that has not yet been fully understood nor reflected in traditional economic indexes and analyses. In this article we revisit the 2005 concept of Innovative Developing Countries (IDCs) that points to the underrepresentation of IDCs in well-known innovation indexes and country ranks. Our analysis clearly shows a prominent role for IDCs in health innovation, research and development on NTDs and in epidemics preparedness, prevention and control.
Author(s): Alexandre Guimarães Vasconcellos, Bruna de Paula Fonseca e Fonseca, Carlos Medicis Morel
Organization(s): National Institute of Industrial Property (INPI), Oswaldo Cruz Foundation (Fiocruz)
Source: PLoS Neglected Tropical Diseases
This article looks at the creation of a network of researchers of social issues in nanotechnology and the role of the Center for Nanotechnology in Society at Arizona State University (CNS-ASU) in the creation of this network. The extent to which CNS-ASU is associated with the development of a research network around the study of social issues in nanotechnology is examined through geographic mapping of co-authors and citations of center publications, network analysis of co-authors of papers on social issues in nanotechnology, and a disciplinary analysis of these papers. The results indicate that there is an extensive network of co-authorships among researchers studying social issues in nanotechnology with CNS-ASU at the center of this network. In addition, papers written by center members and affiliates integrate a diverse range of disciplines. Qualitative data are used to interpret some of the ways that citation occurs.
Author(s): Jan Youtie, Philip Shapira, Michael Reinsborough, Erik Fisher
Organization(s): Georgia Institute of Technology, Arizona State University
Source: Science and Public Policy
This study aims at identifying potential industry-university-research collaboration (IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.
Design/methodology/approach: The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.
Findings: Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations: In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.
Practical implications: Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.
Originality/value: Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.
Author(s): Haiyun Xu, Chao Wang, Kun Dong, Rui Luo, Zenghui Yue, Hongshen Pang
Source: Journal of Data and Information Science