A Focus on the First 1000 Days: Research, Collaboration, and Reflection

2020 ◽  
Vol 7 (3) ◽  
pp. 1-3
Author(s):  
Daniel W O'Neill

none

2004 ◽  
Author(s):  
Shane Jimerson ◽  
Amanda VanDerHeyden ◽  
Jessica Blom-Hoffman ◽  
Matt Burns ◽  
Dan Reschly

Mousaion ◽  
2017 ◽  
Vol 34 (3) ◽  
pp. 36-59 ◽  
Author(s):  
Jan R. Maluleka ◽  
Omwoyo B. Onyancha

This study sought to assess the extent of research collaboration in Library and Information Science (LIS) schools in South Africa between 1991 and 2012. Informetric research techniques were used to obtain relevant data for the study. The data was extracted from two EBSCO-hosted databases, namely, Library and Information Science Source (LISS) and Library, Information Science and Technology Abstracts (LISTA). The search was limited to scholarly peer reviewed articles published between 1991 and 2012. The data was analysed using Microsoft Excel ©2010 and UCINET for Windows ©2002 software packages. The findings revealed that research collaboration in LIS schools in South Africa has increased over the past two decades and mainly occurred between colleagues from the same department and institution; there were also collaborative activities at other levels, such as inter-institutional and inter-country, although to a limited extent; differences were noticeable when ranking authors according to different computations of their collaborative contributions; and educator-practitioner collaboration was rare. Several conclusions and recommendations based on the findings are offered in the article.


1995 ◽  
Vol 24 (2) ◽  
pp. 155-160 ◽  
Author(s):  
John Ryan ◽  
Luis A. Materon ◽  
Scott Christiansen

Impact ◽  
2019 ◽  
Vol 2019 (6) ◽  
pp. 4-5
Author(s):  
Beverley Damonse

2017 ◽  
Author(s):  
Alton C. Dooley ◽  
◽  
Kathlyn M. Smith ◽  
Brittney Stoneburg ◽  
Darla Radford ◽  
...  

2020 ◽  
Vol 12 (17) ◽  
pp. 6846
Author(s):  
Jinyuan Ma ◽  
Fan Jiang ◽  
Liujian Gu ◽  
Xiang Zheng ◽  
Xiao Lin ◽  
...  

This study analyzes the patterns of university co-authorship networks in the Guangdong-Hong Kong-Macau Greater Bay Area. It also examines the quality and subject distribution of co-authored articles within these networks. Social network analysis is used to outline the structure and evolution of the networks that have produced co-authored articles at universities in the Greater Bay Area from 2014 to 2018, at both regional and institutional levels. Field-weighted citation impact (FWCI) is used to analyze the quality and citation impact of co-authored articles in different subject fields. The findings of the study reveal that university co-authorship networks in the Greater Bay Area are still dispersed, and their disciplinary development is unbalanced. The study also finds that, while the research areas covered by high-quality co-authored articles fit the strategic needs of technological innovation and industrial distribution in the Greater Bay Area, high-quality research collaboration in the humanities and social sciences is insufficient.


2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.


2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Waleed M. Sweileh

Abstract Background Antimicrobial resistance (AMR) is a global challenge that requires a “One Health” approach to achieve better public health outcomes for people, animals, and the environment. Numerous bibliometric studies were published on AMR in humans. However, none was published in food-producing animals. The current study aimed at assessing and analyzing scientific publications on AMR in food-producing animals. Method A validated search query was developed and entered in Scopus advanced search function to retrieve and quantitatively analyze relevant documents. Bibliometric indicators and mapping were presented. The study period was from 2000 to 2019. Results The search query retrieved 2852 documents. During the period from 2015 to 2019, approximately 48% of the retrieved documents were published. The article about the discovery of plasmid-mediated colistin resistance in pigs received the highest number of citations (n = 1970). The Journal of Food Protection (n = 123; 4.3%) ranked first in the number of publications while the Applied and Environmental Microbiology journal ranked first in the number of citations per document. The USA led with 576 (20.2%) documents followed by China (n = 375; 13.1%). When the number of publications was standardized by income and population size, India (n = 51.5) ranked first followed by China (n = 38.3) and Brazil (n = 13.4). The growth of publications from China exceeded that of the USA in the last 3 years of the study period. Research collaboration in this field was inadequate. Mapping author keywords showed that E. coli, Salmonella, poultry, Campylobacter, chicken, cattle, and resistant genes were most frequent. The retrieved documents existed in five research themes. The largest research theme was about AMR in Salmonella in food-producing animals. The most recent research theme was about the dissemination and molecular transfer of AMR genes into the environment and among different bacterial strains. Conclusion Hot spots of research on AMR in food-producing animals match the world regions of reported hot spots of AMR in animals. Research collaboration in this field is of great importance, especially with low- and middle-income countries. Data on AMR need to be collected nationally and internationally to implement the “One Health” approach in the fight against AMR.


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