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Academic integrity and plagiarism: The new regulations in India

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Abstract

no
Dishonesty in research and publication, be
intentional or not, goes much beyond an act
of delinquency. The consequences can be dire
and far‑reaching. Regardless of economic and academic
progression, plagiarism remains to be aglobal concern.
The publishing houses, editors and authors are bound
by the publication ethics, yet effective retributive tools
remain scattered and unable to curtail the epidemic.
To comprehend ‘what constitutes plagiarism’ is a major
obfuscation among young researchers, resulting in
unintentional plagiarism. Recently, the Government of
India notified new regulations“Promotion of Academic
Integrity and Prevention of Plagiarism in Higher Educational
Institutions”which were adopted by the University Grant
Commission (UGC).[1] The document published in The
Gazette of India on July 31, 2018, defines plagiarism
and the means to deal with it. According to the new
regulations, plagiarism is “the practice of taking someone
else’s work or idea and passing them as one’s own.”
The regulation further explains “(i) all quoted work
reproduced with all necessary permissions and/or
attribution, (ii) all references, bibliography, table of
content, preface and acknowledgements, (iii) all generic
terms, laws, standard symbols and standard equations”
are not considered plagiarism. Submitted manuscripts
are routinely screened for the similarity index employing
the software such as iThenticate®, Turnitin® and so
on. This screening identifies similar texts from already
published material and summates the total percentage.
The present regulation relies on this percentage to
quantify the plagiarism and to decide on the quantum
of penalty.
However, there are drawbacks in this scrutiny; not all
percentage of similarity is necessarily plagiarism.[2]
The report needs to be interpreted carefully. The text
describing similar methodology or common clinical
terms is likely to be similar. Further, manual intervention
is needed by the assessor to exclude quotations and
bibliography. Thus, to arbitrate on the “acceptable
percentage of similarity” for a manuscript needs critical
analysis. Under the new guidelines up to 10% similarity is
acceptable and terms it as minor or Level 0. The drawback
is, this minor similarity could be a significant plagiarism
if taken from a single source. The guidelines further
quantify the degree of plagiarism as Level 1: Similarities
above 10% to 40%, Level 2: Similarities above 40% to 60%,
Level 3: Similarities above 60%.
Based upon the level, students or researchers submitting
their script face penalty. The penalty ranges from
re‑submitting revised script for Level‑1, debarring for
one year for Level‑2 and to cancellation of students’
registration from the enrolled program in Level‑3 offense.
For the faculty, plagiarism beyond 10% similarities
mandates withdrawal of manuscript. At 40‑60% level they
are debarred from supervising a master’s program for
two years and lose an increment for one year. If it exceeds
60%, loss of increment for two years and not allowed as
supervisor for 3 years is the penalty.
What do these guidelines mean to the publishing
houses and the journal? Plagiarism in any form or
any percentage is unacceptable and non‑negotiable.
A plagiarized manuscript which cannot be rectified
faces inevitable rejection. Further, if already published,
retraction is obligatory. The appropriate action that
needs to be initiated against the authors are yet to
be addressed satisfactorily. Debarring the author does
not restrain from future submission and it is practically
impossible to screen a submission as co‑author.
Several journals demand authors’ scientific profile and
have made mandatory to share ORCID or Researchgate
IDs. ORCID provides a unique 16‑digitID, which is a
digital profile and affiliation of the researcher. Thus,
with some checks in place, authors are prevented from
creating duplicate profiles. With the new regulations,
the publisher can notify the author’s affiliated
institution and bring them under the purview of the
law of the land and regulations. The mechanism to
Academic integrity and plagiarism: The new regulations in
India
Editorial
© 2018 Indian Journal of Plastic Surgery | Published by Wolters Kluwer - Medknow 109
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Editorial
address any such complaint is elaborated and falls
under the purview of Institutional Academic Integrity
Panel (IAIP).
Though the regulation is a welcome step it has
limitations and drawbacks. It appears to address
only the “copy‑paste” act by relying heavily on the
similarity index, ignoring various forms of dishonesty
which include self‑plagiarism, wrong citation, data
manipulation, photo plagiarism and so on. An innovative
idea or publication when reproduced by paraphrasing
without citing the source can escape similarity check
and authenticates the publication. Percentage below
10% need not be ignored. Further, plagiarism in any
form or level should be discouraged in absolute terms.
Grading them is not a good idea and gives a sense of
impunity to the perpetrators.
Plagiarism is considered immoral act and not perceived
as a crime. Though there is no separate Plagiarism Act in
India, it is governed by the section 57,63 and 63 (a) of the
Copyright Act. Copyright violation is using the authors’
work without permission, whereas in plagiarism, it is used
without attribution. Under these sections, plagiarism can
attract imprisonment from 6months to 3 years.[3]
Tens of thousands of research work are submitted
every year to HEI from postgraduates as a thesis or
dissertation. Creating awareness and education on
scripting a good manuscript are imperative. Institutions
and authors should have an easy access to good
screening software for manuscripts. The responsibility
of submitting an unblemished manuscript rests with
the authors, researchers and guides. Senior authors
cannot absolve themselves from the responsibilities. The
final manuscript must be checked by senior author and
figure out any change in language style which is possibly
not author’sown. It is essential that all co‑authors
must contribute and go through the manuscript, and
thus rectify all possible issues. Any complacence from
authors over a negligent manuscript may have serious
consequences on reputation, academic integrity and
career, which is entirely avoidable.
Dinesh Kadam
Editor IJPS, Professor and Head, Department of Plastic and
Reconstructive Surgery, A J Institute of Medical Sciences
and A J Hospital and Research Centre, Mangalore,
Karnataka, India
E-mail: drkadam@yahoo.co.in
REFERENCES
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2. CrossCheck Plagiarism Screening: Understanding the Similarity
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3. Pandey A. Laws Relating to Plagiarism in India; 11 June, 2017.
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india/. [Last accessed on 2018 Aug 24].
How to cite this article: Kadam D. Academic integrity and plagiarism:
The new regulations in India. Indian J Plast Surg 2018;51:109-10.
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Indian Journal of Plastic Surgery Volume 51 Issue 2 May‑August 2018 110
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... Considering the increasingly prevalent academic dishonesty in the education sector, school and college administrations, along with the government, are actively seeking strategies to address this issue (Khoury et. al., McCabe et al., 2006;Kadam, 2018). Recently, the Indian government has been implementing many initiatives to reduce academic dishonesty, particularly in the form of scientific plagiarism and cheating during tests. ...
... Recently, the Indian government has been implementing many initiatives to reduce academic dishonesty, particularly in the form of scientific plagiarism and cheating during tests. These initiatives encompass implementing mandatory plagiarism checks for research theses, reinforcing regulations in public and competitive examinations, and improving the calibre of academ ic publications (BBC News, 2016;Kadam, 2018;Pannett, 2021;Pti, 2023Pti, , W eeks, 1999Alahmad, 2013;Alabi, 2014;Chahar, 2019;Press Trust of India, 2017). Nevertheless, the prevalence of academic dishonesty in the educational sector surpasses the effectiveness of the measures implemented to mitigate it (eg., Khandekar, 2022). ...
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The rising prevalence of academic dishonesty in educational institutions necessitates school and college administrations, as well as the government, to seek effective measures to address this issue. Nevertheless, the extent of academic dishonesty surpasses the implemented safeguards. The study aims to construct a measurement scale that assesses the various factors that contribute to academic dishonesty, including as motivation towards academics, parental, peer and societal influence, neutralization attitude, and perceived academic achievement. In addition, the scale incorporates a dimension that quantifies the extent of academic dishonesty. The data was obtained from a sample of 327 students who were selected from a private engineering institution using a survey methodology. The data were gathered using a 5 point scale and all the items were validated by the experts. The EFA analysis revealed that 78 out of the 79 items were maintained. The reliability of the scale is evaluated through the use of Cronbach alpha, while the validity of the scale is determined by examining the correlation coefficient between the dimensions of the scale.
... Bretag (2013) outlined challenges in addressing plagiarism, including inconsistencies in institutional responses. Kadam (2018) examined academic integrity regulations in India, discussing new policies to curb plagiarism. Yavich and Davidovitch (2024) analysed plagiarism trends in higher education, calling for more vigorous enforcement of academic integrity guidelines. ...
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The relationship between education and societal similarity is crucial in understanding global academic and cultural trends. This study aims to examine the correlation between the Education Index (a subindex of the Human Development Index) and the Similarity Percentage across countries, assessing whether higher education levels influence similarity patterns. A quantitative research approach was employed, utilising descriptive statistics, correlation analyses (Spearman, Kendall, and Distance Correlation), and regression models (polynomial and Generalized Additive Models - GAM) based on data from 142 countries. The findings indicate a weak but statistically significant negative correlation between the Education Index and Similarity Percentage, suggesting that higher education levels are slightly associated with lower similarity. However, the Distance Correlation test (dCor = 0.24) implies a more complex, non-linear relationship between the variables. Regression models failed to significantly improve the justification of results, highlighting that the Education index alone does not strongly predict similarity percentages. These results suggest that other socio-economic, cultural, and geopolitical factors play a more substantial role in determining similarity patterns between nations.
... Higher similarity indices may prompt further scrutiny of the work, as they indicate more extensive textual matches, which can be grounds for suspicion of plagiarism. However, the threshold for acceptable similarity varies among journal editors; while some may accept a similarity up to 5%, others might require stricter standards, with similarities above 10% potentially leading to manuscript rejection [21]- [24]. In light of this, it is essential for scholarly journals to clearly articulate their plagiarism policies in author guidelines and on their websites to ensure transparency and fairness in the submission process [25]. ...
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p>Intellectual property plagiarism is increasingly prominent in contemporary society, involving the unethical practice of claiming someone else's ideas, words, or creative works without proper acknowledgment. This study aimed to compare the performance of iThenticate and Ouriginal plagiarism detection software by analyzing their similarity index. Twenty original manuscripts (N=20) were examined for content similarity, with each manuscript analyzed first with Ouriginal and then with iThenticate. The focus was on comparing the two tools based on matched sources, word matches, and overall similarity index percentage. Data analysis using SPSS v26 included descriptive statistics, an independent t-test, correlation, and ranking of the similarity percentages, with significance set at p<0.05. The results indicated no significant differences in matching sources, matching words, or similarity index (p>0.05) between iThenticate and Ouriginal. A strong positive correlation (r=.758, p<.000) was observed between the similarity indices of the two software programs. The analysis of the low similarity range (≤10%) also revealed no statistical significant difference (p>.05). However, the mean similarity percentage detected by iThenticate was higher at 11.40%, compared to 6.85% for Ouriginal. Based on the findings, both iThenticate and Ouriginal demonstrated comparable effectiveness in detecting plagiarism, highlighting their importance in curbing academic dishonesty and protecting intellectual property rights.</p
... [13][14][15][16][17] These editorials, I trust, have been timely and relevant, serving as a valuable resource for our readers. [18][19][20][21][22][23][24] Thematic Issues ...
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... As indicated by the aforementioned observations. Indian scholars have never stopped researching and discussing academic misconduct [8,9,10,11,12,13]. In this section the author would like discuss three parts, the first is on authors' article itself, the second is publishing house, and the third is about forensics. ...
... Generally, under 10% similarity is often acceptable (Garg & Nagpal, 2023), while some editors only allow up to 5% (Peh & Arokiasamy, 2008), and over 20% might prompt additional scrutiny (Swaan, 2010). Sometimes over 10% can lead to manuscript rejection by journal editors and academic institutions (Mahian et al., 2017;Kadam, 2018). ...
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In the current information technology era, plagiarism is a significant and critical issue in research. Plagiarism detection tools are essential in identifying instances of plagiarism. This study compared the similarity index generated by three leading plagiarism detection software platforms: iThenticate, Ouriginal, and Turnitin. Ten original documents (N = 10) were selected for analysis across the three software programs. The process involved first analyzing all documents with Ouriginal, then checking the same documents, followed by iThenticate, and Turnitin. These software programs generated originality reports detailing the number of matching sources, similar word counts, and an overall similarity index as a percentage. To detect notable differences within the dataset, a one-way ANOVA and a Tukey (HSD) post-hoc analysis were conducted. The threshold for statistical significance was established at p<0.05. Statistical analysis revealed that while there was a significant variance in the similarity index across the tools iThenticate, Ouriginal, and Turnitin (F (2, 27) = 5.436, p = .010), there were no notable differences in the sources they matched (F (2, 27) = 1.289, p = .292). This suggests that the plagiarism detection capabilities may vary significantly among these tools, but the sources they identify as matches are largely consistent. However, the average values indicated that Turnitin had the highest mean similarity detection followed by iThenticate, and then Ouriginal. In this study, evaluating the similarity index can help verify the effectiveness of anti-plagiarism tools and safeguard researchers against committing plagiarism.
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Background Misconduct in research refers to unethical behavior in the conduct of research which includes fabrication, falsification, plagiarism, and other practices that violate the integrity of the research process. Perceptions and attitudes toward research misconduct differ across individuals and educational systems. Methods In this facility-based cross-sectional study, 103 faculty and 57 postgraduates of Kasturba Medical College, Mangalore, were assessed regarding their attitude toward research misconduct using the attitude toward plagiarism (ATP) questionnaire. Institutional Ethics Committee approval was obtained before the commencement of the study. Independent t -test was applied to assess the difference in mean perception and attitude scores between the faculty and postgraduates and P < 0.05 was considered to be statistically significant. Results The mean age of the faculty and the postgraduate was 38.3 ± 9.3 years and 26.1 ± 2.9 years. The positive attitude ATP scores for the faculty and postgraduates were 31.2 ± 7.9 and 36.6 ± 8.1, respectively, which reflects a moderate approval toward plagiarism. The negative attitude and general perception ATP scores of 21.9 ± 3.8 and 23.8 ± 6.4 depicted a moderate level of disapproval toward plagiarism among the faculty. Postgraduates had a mean negative attitude ATP score of 22.1 ± 3.1 and 28.1 ± 7.0 for subjective norms, also suggesting an overall moderate tolerance toward plagiarism. Overall, the faculty and postgraduates had a low tolerance toward various aspects of research misconduct. Conclusion Attitudes and perceptions toward plagiarism are complex and context dependent. Promoting awareness of academic integrity and the value of original work is essential to foster a culture that discourages plagiarism and encourages proper citation and acknowledgment of sources.
Laws Relating to Plagiarism in India
  • A Pandey
Pandey A. Laws Relating to Plagiarism in India; 11 June, 2017. Available from: https://www.blog.ipleaders.in/plagiarism-lawindia/. [Last accessed on 2018 Aug 24].
How to cite this article: Kadam D. Academic integrity and plagiarism: The new regulations in India
How to cite this article: Kadam D. Academic integrity and plagiarism: The new regulations in India. Indian J Plast Surg 2018;51:109-10.
CrossCheck Plagiarism Screening: Understanding the Similarity Score
CrossCheck Plagiarism Screening: Understanding the Similarity Score; 11 Aug, 2011. Available from: http://www.ithenticate. com/plagiarism-detection-blog/bid/63534/CrossCheck-Plagiarism-Screening-Understanding-the-Similarity-Score#. W80IoGgzbIU. [Last accessed on 2018 Aug 24].