research evaluation
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2022 ◽  
Vol 14 (10) ◽  
pp. 5187-5189
Author(s):  
Noor Ali ◽  
Ibrahim S. Al-Jobouri ◽  
Widad M K Al-Ani

Evaluation of Iraqi medicinal plants is very crucial to help people avoid the use of herbs without prior knowledge which results in many side effects and sometimes even leads to death. The plant constituents vary according to season, weather and type of soil, therefore it is necessary to evaluate the chemical constituents and determine the time of collection of medicinal plants. In this research evaluation of the medicinal plant Calendula officinal grown in Iraq was performed by measuring the quantity of hyperoside found in the plant together with macroscopical and microscopical evaluation of the plant.


2022 ◽  
Vol 54 (8) ◽  
pp. 1-36
Author(s):  
Maxime Lamothe ◽  
Yann-Gaël Guéhéneuc ◽  
Weiyi Shang

Recent software advances have led to an expansion of the development and usage of application programming interfaces (APIs). From millions of Android packages (APKs) available on Google Store to millions of open-source packages available in Maven, PyPI, and npm, APIs have become an integral part of software development. Like any software artifact, software APIs evolve and suffer from this evolution. Prior research has uncovered many challenges to the development, usage, and evolution of APIs. While some challenges have been studied and solved, many remain. These challenges are scattered in the literature, which hides advances and cloaks the remaining challenges. In this systematic literature review on APIs and API evolution, we uncover and describe publication trends and trending topics. We compile common research goals, evaluation methods, metrics, and subjects. We summarize the current state-of-the-art and outline known existing challenges as well as new challenges uncovered during this review. We conclude that the main remaining challenges related to APIs and API evolution are (1) automatically identifying and leveraging factors that drive API changes, (2) creating and using uniform benchmarks for research evaluation, and (3) understanding the impact of API evolution on API developers and users with respect to various programming languages.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rishabh Shrivastava ◽  
Preeti Mahajan

Purpose The first purpose of the present study is to investigate the coverage of journal articles in Physics in various sources of altmetrics. Secondly, the study investigates the relationship between altmetrics and citations. Finally, the study also investigates whether the relationship between citations and altmetrics was stronger or weaker for those articles that had been mentioned at least once in the sources of altmetrics. Design/methodology/approach The journal articles in Physics having at least one author from an Indian Institution and published during 2014–2018 in sources of altmetrics have been investigated. Altmetric.com was used for collecting altmetrics data. Spearman’s rank correlation coefficient (ρ) has been used as the data found to be skewed. Findings The highest coverage was found on Twitter (22.68%), followed by Facebook (3.62%) and blogs (2.18%). The coverage in the rest of the sources was less than 1%. The average Twitter mentions for journal articles tweeted at least once was found to be 4 (3.99) and for Facebook mentions, it was found to be 1.48. Correlations between Twitter mentions–citations and Facebook mentions–citation were found to be statistically significant but low to weak positive. Research limitations/implications The study concludes that due to the low coverage of journal articles, altmetrics should be used cautiously for research evaluation keeping in mind the disciplinary differences. The study also suggests that altmetrics can function as complementary to citation-based metrics. Originality/value The study is one of the first large scale altmetrics studies dealing with research in Physics. Also, Indian research has not been attended to in the altmetrics literature and the present study shall fill that void.


2022 ◽  
Author(s):  
Gunnar Sivertsen

The paper is focused on practical advice for the use of bibliometrics in research assessment in the social sciences. Guidelines are presented from three official sources of advice with a particular focus on individual-level assessments of applications for positions, promotions, and external funding. General problems with applying bibliometrics in evaluations of the social sciences are also discussed, as well as the specific problems with using the Journal Impact Factor and the H-Index. The conclusion is not that bibliometrics should be avoided in research assessment of social scientists. Used with care and competence, bibliometrics can be a valuable extra source of information, but not replace judgement in research evaluation.


2022 ◽  
Author(s):  
Gunnar Sivertsen

The paper describes the full range of publishing and its purposes in the social sciences – from scholarly publishing via professional communication to societal interaction in public media – and how it is represented in five different contexts for research evaluation and funding. The five contexts are: applications for external project funding, applications for positions or promotions, indicator-based institutional funding systems, summative organizational evaluation systems, and formative organizational evaluation systems. The chapter provides a critical discussion of how publications from the social sciences may be filtered out or placed in predetermined hierarchies in these evaluation and funding contexts, and also of how the evaluation and funding procedures can be improved to appropriately represent social science research and publishing.


2022 ◽  
Author(s):  
Marc Vanholsbeeck

Literature shows that, facing the neo-liberal definition of academic excellence, early career investigators (ECIs) in the social sciences and the humanities (SSH) have developed particular professional identities and behaviours towards the requirements of the academic career. Specificities of the SSH make the compliance to the assessment procedures of the “neo-liberal university” particularly challenging. Furthermore ECIs in the SSH are caught in an unprecedented “triple bind”. While pursuing their post-doctoral career in the context of the neo-liberal university, they are still academically trained in the disciplinary and collegial values of the “traditional university”. Although most career rewards and evaluation criteria are bound to the neo-liberal university, researchers now in the early stages of their career also constitute the first generation of academics to be exposed to the new requirements of the “open university”, through the Open Science policies and the Impact Agenda. In such context of uncertainty and conflicting rationalities, more efficient “early career building information ecosystems” should be put in place within academia. We also recommend to better integrate ECIs in the design and implementation of research evaluation principles and processes.


2022 ◽  
Vol 36 (1) ◽  
pp. S33-S39
Author(s):  
Anthony R. Carlini ◽  
Susan C. Collins ◽  
Elena D. Staguhn ◽  
Katherine P. Frey ◽  
Robert V. O'Toole ◽  
...  

2021 ◽  
Vol 5 (2) ◽  
pp. 141-142
Author(s):  
Patrícia Krásná ◽  
Stanislav Mihálik ◽  
Veronika Marková

An international scientific conference organized by the Academy of the Police Force in Bratislava entitled: “THE EFFICIENCY OF PRE-TRIAL PROCEEDINGS – RESEARCH, EVALUATION, CRITERIA AND INFLUENCE OF LEGISLATIVE CHANGES” was held on 04th and 5th November 2021 at the Academy of the Police Force in Bratislava, within the project APVV-19-0102 “The efficiency of pre-trial proceedings – research, evaluation, criteria and influence of legislative changes” under the auspices of Dr. h. c. prof. JUDr. Lucia Kurilovská, PhD., the Rector of the Academy of the Police Force in Bratislava and prof. JUDr. Jozef Čentéš, PhD., Head of the Department of Criminal Law, Criminology and Criminalistics, Comenius University in Bratislava, Faculty of Law.


2021 ◽  
Vol 4 (3) ◽  
pp. 80-89
Author(s):  
Erin Flowriza ◽  
Rahmiati Rahmiati

Quantitative data analysis carried out included data descriptions and respondent's level of achievement in 4 (four) components, namely: context (context), input (input), product (process), output (result). Based on the results of the research that has been done, all incoming data meet the requirements for processing and analysis. Quantitative data were collected through a questionnaire consisting of 27 questions that had been tested for validity and reliability. Furthermore, the questionnaire was given to 104 students of the Faculty of Tourism and Hospitality in the Department of Makeup and Beauty in 2018 which were filled in online via google form to answer the questions given about the evaluation of the implementation of practical learning during the Covid-19 pandemic, the make-up and beauty study program. . statistical data of research evaluation of the implementation of practical learning during the Covid-19 pandemic, Makeup and Beauty Education Study Program. The table above shows that the number of data (N) is 104, mean 106.66, median 107, mode 109, standard deviation 6.99, variance 48.86 range 33, minimum value 91, maximum value 124, and total Overall score of 11093. To complement the research data collected through questionnaires, the researcher also collected data by conducting interviews with several respondents, namely 4 lecturers of makeup and beauty at UNP. When conducting interviews, data were recorded and important points were recorded from the contents of the interview. Interview data were collected by researchers related to components in the evaluation of practical learning during the Covid-19 pandemic of make-up and beauty education study programs, namely components of context (context), input (input), process (process), and product (result).


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