Research assistance

Publications database (lists, reports)

LSU staff and students connect to the eLABa PDB database in the same way as to the university computers and Information System.

  • Registration of publications in the library

LSU scientific publications are registered at the Acquisition and cataloging group (Library, 2nd floor, room 202) or by e-mail ina.zerina@lsu.lt.

For more information, please e-mail ina.zerina@lsu.lt or phone +370 690 09933.

Open Access

Open Access (OA) is free and unrestricted online access to scientific publications, research data, and other published and unpublished high-quality peer-reviewed research material, which can be freely read, copied, and subjected to automated content analysis by any user, without infringing copyright.

The implementation of Open Access ensures the dissemination of research results and scientific knowledge, promotes greater collaboration between researchers, reduces the number of potentially identical and uncoordinated studies, increases the reliability of research results, the transparent generation and maintenance of data, fosters academic ethics, facilitates interaction between science and business, science and policy makers, and social partners, and creates conditions for greater socio-economic returns from research results.

Lithuanian Sports University supports the European Union’s policy of Open Access to the results of scientific research obtained with public funds and the possibility for users to obtain them without any financial, technical or legal restrictions. The Lithuanian Sports University Guidelines on Open Access to Scientific Publications and Data (available in Lithuanian) are based on the Research Council of Lithuania.

The Open Access Guidelines of the Lithuanian Sports University were registered in November 2020 in ROARMAP, a Registry of Open Access Repository Mandates and Policies for universities, research institutes, and funding institutions from around the world.

Article Processing Charge (APC) discounts and waivers

When publishing in Open Access journals, authors may be subject to an Article Processing Charge (APC). However, researchers at the Lithuanian Sports University who wish to publish in an OA journal can take advantage of APC discounts and waivers coordinated by the Electronic Information for Libraries (EIFL) organisation, who partners with the Lithuanian Research Library Consortium. A complete list of publishers with whom EIFL has signed offers on waived or discounted APCs can be found by clicking on this link. For more information about the EIFL-coordinated waived or discounted APCs for publishing in OA journals, please read this article. A list of journals that do not apply APCs or offer APC discounts can be downloaded here. You can also download the updated (01.12.2026) list of Taylor & Francis Gold Open Access journals, publishing in which Lithuanian researchers can receive a 50% discount on APCs.

To take advantage of Taylor & Francis APC discounts, adhere to the following instructions for authors:

  1. Select an appropriate journal from the list of eligible journals and submit the article through the journal’s Online Submission System, following the relevant Instructions for Authors.
  2. During the submission process, the author should select the option “I have another waiver to request or a discount code” and enter the code “EIFL”.
  3. Authors must apply for the waiver or discount during the first submission of the article. This option will not be available when submitting a revised manuscript.
  4. Authors will receive confirmation of their discount or waiver request, and the paper will proceed through the standard peer review process. Once the article is accepted for publication, the approved waiver or discount will be applied to the APC.

Discounted Article Processing Charges for Lithuanian researchers to publish in SAGE

Researcher profiles (Orcid ID and etc.)

Researcher profiles are electronic accounts or identifiers that help to clearly attribute publications to a specific author, collect information about their scientific activities and see citation indicators. They are important in order to avoid confusion between authors and ensure the visibility of scientific activities.

  • ORCID iD – An international unique persistent identifier that links a researcher’s works, projects, and achievements in various databases. It is designed to clearly distinguish the scientific works of one author from those of others. An ORCID iD looks like a 16-digit number (e.g., 0000-0002-1825-0097) and is often used in conjunction with the author’s name in academic publications. You can create your free ORCID iD account at https://orcid.org/register.
  • ResearcherID – A researcher’s identifier in Web of Science database that helps link publications, citations, and h-index. It typically appears as a combination of letters and numbers (e.g. A-1234-2020). You can create a ResearcherID even if you do not have a Web of Science subscription (see Registration and Sign-in). This identifier can be synchronised with ORCID.
  • Scopus Author ID – A unique identifier automatically assigned to each author whose publications are included in the Scopus database. It helps to link a researcher’s publications, citations, h-index, and other data in one place.

Bibliographic information management tools (ProQuest RefWorks, etc.)

Using bibliographic information management tools (such as ProQuest RefWorks, EndNote, Mendeley, Zotero), it is possible to collect and store bibliographic descriptions of information sources, as well as full-text documents or references to them. For scientists, researchers, and students these tools are useful to write scientific papers, insert cited sources into the text, automatically create reference lists based on the necessary citation style. In addition, using these tools, it is possible to organise sources by subject or other characteristics, and exchange accumulated information with colleagues or students.

ProQuest RefWorks and EndNote are paid tools.

Mendeley and Zotero are Open Access tools.

LSU subscribes to the ProQuest RefWorks bibliographic information management tool. To use this tool, you must create a user account using your LSU institutional email address.

LSU guidelines for the Use of Generative Artificial Intelligence (GenAI) Tools

LSU Guidelines for the Use of Generative Artificial Intelligence (GenAI) Tools

Generative artificial intelligence (GenAI) is an artificial intelligence technology that automatically generates new content in response to user queries in natural language.

Generated content can be presented in various formats: texts (written in natural language), images (including photos, pictures, etc.), videos, audio recordings (including music), and software codes. GenAI uses data from websites, social media conversations, and other online resources. There are various GenAI tools and platforms available today (e.g. ChatGPT, GPT-4, Duet AI, Synthesia, Claude, Dall-E2, Bard, Scribe, AlphaCode, Microsoft Copilot, etc.), and it is expected that their number and accessibility will increase in the future.

LSU Guidelines for the Use of Generative Artificial Intelligence (GenAI) Tools (in Lithuanian language) are intended for the Lithuanian Sports University community, i.e. students of all degrees, researchers, lecturers, administrative and technical staff.

The Guidelines provide general guidance (basic principles) on how GenAI should be used in the study process, scientific research, and other activities carried out by the University.

A GenAI tool cannot assume responsibility for the authorship of a work. The author who used the GenAI tool is responsible for the work’s compliance with all legal and ethical principles. Any use of GenAI tools must be transparently disclosed in the work, based on the Guidelines.

The Guidelines aim to ensure that the use of this technology at the University complies with European, Lithuanian, and University’s academic values and ethical principles.

Consultations on how to properly cite content generated by GenAI in academic works are available by phone at +370 690 09939 or by e-mail at ieva.bliaviene@lsu.lt (Editor). Additionally, see tips proposed by the American Psychological Association.

Plagiarism prevention and text similarity check using Turnitin tool

What is plagiarism?

When using information from different sources in studies and scientific works, it must be paraphrased in your own words or quoted exactly in quotation marks, and an in-text citation must be provided next to the quoted or paraphrased text. References of the sources used must be provided in the list of references as well.

Plagiarism is identified when sources of information are used improperly in academic and scientific works, as well as when another author’s ideas are presented as your own, verbatim translations of texts from other languages are provided, illustrative material (images, tables, figures), data, or content generated by generative artificial intelligence (e.g. ChatGPT, GPT-4, Microsoft Copilot, etc.) are used without citing the source. For information on how to properly cite and reference information sources in your studies and academic papers, see reference examples and in-text citation examples provided by the American Psychological Association.

Plagiarism can be identified by the author of the work himself noticing the improper use of the source or parts thereof, by comparing the work with other works, or by checking the work with plagiarism detection software that provides results in the form of a similarity report.

Plagiarism prevention and similarity check at the University

Lithuanian Sports University applies the principles of Academic Ethics, seeks to foster responsibility and academic literacy among the University’s community, and uses plagiarism prevention measures in its study and research activities.

Based on the approved Procedure for Using the Turnitin Plagiarism Detection Tool (in Lithuanian), from the spring semester of 2025/2026, university checks text similarities in written work and final theses using the Turnitin tool in the university’s Online Learning System.

Similarity check for written work

The University checks for text similarity in written work using the Turnitin tool in the Online Learning System.

The Turnitin Plagiarism Detection Tool automatically checks for similarity in all written works uploaded to the University’s Online Learning System. To activate the checking function, the lecturer and student must perform the following steps:

Lecturer:

  • in the Online Learning System, create a task with the Turnitin Plagiarism Detection Tool function activated in your module;
  • assign students whose written work shall be checked to the created task;
  • determine by selecting the appropriate option whether or not the students shall be able to see the results of the similarity check;
  • inform the students about the assignment, its deadlines, and the rights regarding the similarity check granted;
  • when reviewing the similarity report, the lecturer shall provide their comments for the students using the ‘Comment’ function

Turnitin instructions for lecturers (for written work). 

Student:

  • upload your work to the task created for text similarity check in the relevant module in the Online Learning System;
  • review the lecturer’s comments and notes;
  • if permitted, edit, correct, and re-upload the work.

Turnitin instructions for students (for written work).

In the text similarity report, Turnitin provides the percentage of text similarity and highlights (colours) the parts of the text that match other sources, i.e. previously published works by the same author or other authors. Additionally, it provides links to the matched sources, as well as information about paraphrasing and inappropriate citation.

Important: The Plagiarism Detection Tool only identifies parts of the text that match other sources, but does not analyse the content of the work. The quality of students’ work is assessed and possible plagiarism is determined by lecturers who are familiar with the results of the similarity report.

Important: There may be similarities detected in the works that are not considered a case of plagiarism, but there must be no instances of plagiarism in the works. A high percentage of similarities may indicate that the work was not done independently.

Text similarity checkers only check for similarity in text, but cannot detect matches in non-text information (e.g. images, photos, drawings, etc.).

As mentioned above, some text similarities are not considered plagiarism, e.g.: individual words or sentences of general nature; general knowledge (facts) that does not need to be cited; reference lists, source descriptions, in-text citations; terms and names; quotations (exact excerpts provided in quotation marks, with source indicated, no longer than a paragraph, or a block quotation if consisting of 40 words or more) etc.

About Turnitin

If you have any questions regarding Turnitin procedures, please contact us at dziuljeta.griskute@lsu.lt.

Similarity check for final theses

The text similarity check of final theses at the University is performed using the Turnitin tool in three stages:

  • during the preparation of the work;
  • for attestation/approbation;
  • for defense.

Final thesis text similarity check while writing a paper

To perform a text similarity check, the thesis supervisor and the student perform the following actions:

The thesis supervisor:

  • creates an assignment in the e-learning environment module for the preparation of the final thesis, selecting the Turnitin resource of the text similarity check tool (Turnitin Assignment 2);
  • reviews and confirms the mandatory assignment parameters in the opened Turnitin assignment, provides a description (summary) of the assignment and sets the text similarity checking rights (for example, whether the work can be submitted multiple times), the assessment scale (optional), the start, end and publication dates;
  • informs the student about the Turnitin assignment, the deadlines for submitting the work and the granted rights;
  • reviews the uploaded work and provides his assessment and comments to the student in the generated match report, using the comment function;
  • must not save submitted work to repository during the preparation of the final thesis.

Turnitin instructions for supervisors (during the preparation of the final thesis)

The student:

  • in accordance with the established deadlines, uploads his/her final thesis (in whole or in part) to the assignment created for text similarity check in the E-learning environment module for the preparation of the final thesis;
  • reviews the automatically generated text matching report, received supervisor notes, comments;
  • if allowed, edits (corrects) the work and uploads it again to the same assignment created for text similarity check.

Turnitin instructions for students (for final theses)

Final thesis verification for attestation / approval / defense

The reviewer and attestation / approval / defense commission:

  • in the e-learning environment module, in the task created for text similarity check (attestation / approval / defense), the reviewer checks the students’ work using the text matching tool Turnitin;
  • cannot change the parameters of the created Turnitin task;
  • after reviewing the text matching report, they provide comments to the student.

Turnitin instructions for reviewers / commissions (attestation / approval / defense)

The student:

  • in accordance with the established deadlines, uploads his/her final thesis to the task created for text similarity check (attestation / approval or defense) in the e-learning environment module;
  • reviews the automatically generated text matching report, received notes, comments;
  • if allowed, edits (corrects) the work and uploads it again to the same task created for text matching.

Turnitin instructions for students (for final theses)

Similarity check for scientific articles and manuscripts

Researchers who wish to check the manuscripts of their publications (articles, books) using the text similarity checker are kindly requested to contact the Head of the Library, Tel. +370 690 09930, e-mail asta.zarauskiene@lsu.lt.

In accordance with the LSU publishing process, the Library and the Editorial Boards (Editorial Committees) of scientific publications strive to check all manuscripts submitted for publication using available text similarity detection tools.

Publication guidelines and recommendations | Useful links