Bibliographic Information

Title

 Journal of Livestock Science and Technologies

Title abbreviation

 J. Livest. Sci. Technol.

ISSN

 Print ISSN: 2322-3553

 Online ISSN: 2322-374X

Coverage

Scopus Subject Area and Category: Agricultural and Biological Sciences: Animal Science and Zoology | Veterinary: Veterinary (miscellaneous)

 Web of Science Clarivate Analytics Categories: Agriculture, Dairy & Animal Science | Animal Sciences | Plant & Animal Science

Language

 English

Start Year

 2013

Frequency

 Biannual

Director-in-Charge

 Omid Dayani, Professor

Editor-in-Chief

 Mohammad Javad Zamiri, Professor

Place of Publication

 Iran

Publisher

 Shahid Bahonar University of Kerman and Iranian Society of Animal Science

Status

 Active

Refereed

 Yes

URL

 https://lst.uk.ac.ir/

Type of Access

 Open Access (OA)

 OA polices: SHERPA/RoMEO

Type of License

 CC- BY-NC

Plagiarism Detection Software

 All manuscripts must be free from plagiarism contents. Manuscripts submitted to Journal of Livestock Science and Technologies will be screened for plagiarism using Similarity Check / iThenticate plagiarism detection tools. All authors are suggested to use plagiarism detection software to do the similarity checking before submitting their manuscript to the journal. Editors check the plagiarism detection of manuscripts in this journal by using Grammarly detection software (www.grammarly.com) and using iThenticatesince September 2019. The journal will immediately reject papers leading to plagiarism or self-plagiarism.

Type of Publication (Processing Charges and Publication Charges)

 Publication fee ($10 as a fee for the review process (without guarantee of publication) and $20 for publication. Publication charges for Iranian authors is 2,000,000 Iranian Rials.

 Full text access: Open Access

Revenue Sources

 Institutional support, Donations

Type of Material

 Serial (Periodical)

Description

 It is an international open-access peer-reviewed journal in English devoted to the fields of the livestock science and animal biology; and serves as a forum for discussion and experimentation. It serves as a forum for new research in  animal breeding, genetics and genomics, animal nutrition, feed quality, and nutritional value,  animal physiology and reproduction, livestock farming systems, sustainability, and natural resource management, meat science and consumer acceptability, behavior, health, and welfare.

Copyright owner / Copyright holder

 Authors retain copyright to their work without restrictions. The author has full control over the work (e.g. retains the right to reuse, distribute, republish etc.).

Authorship

 The consent of all authors, as well as related authorities/institutions has been received prior to the submission of the manuscript. The order of the authors (as to be reflected on the published article) has been established. The adding or deleting of authors once the manuscript has been accepted for publication would have to be accompanied by a signed statement of consent of all authors. All authors have contributed significantly to the research. Authors are obligated to participate in the peer review process, providing retractions/ corrections/ amendments when necessary. All conflicts of interest/financial support have been declared.

Open Access Statement

 This journal is a fully open-access journal, which means that all articles are available on the Internet to all users immediately upon publication. Non-commercial and commercial use and distribution in any medium is permitted, provided the author and the journal are properly credited. Benefits of open access for authors, include:

- Authors retain copyright to their work.

- Free access for all users worldwide.

- Increased visibility and readership.

- No spatial constraints.

- Rapid publication.

Digital Archiving Policy

 Journal of Livestock Science and Technologies works with some organizations as Islamic World Science Citation Database (ISC), National Digital Archives of Iranian Scholarly Journals, and own server of Shahid Bahonar University of Kerman for maintaining our own digital archive. This makes it possible the permanent availability and preservation of scholarly research and to ensure accessibility by converting and upgrading digital file formats to comply with new technology standards.

Data Citation

 Data should be cited in the same way as article, book, and web citations and authors are required to include data citations as part of their reference list. Data citation is appropriate for data held within institutional, subject focused, or more general data repositories. It is not intended to take the place of community standards such as in-line citation of GenBank accession codes. When citing or making claims based on data, authors must refer to the data at the relevant place in the manuscript text and in addition provide a formal citation in the reference list. Journal of Livestock Science and Technologies follows the format proposed by the Joint Declaration of Data Citation Principles:
Authors; Year; Dataset title; Data repository or archive; Version (if any); Persistent identifier (e.g. DOI)”.

Data Sharing Policy

 The Journal of Livestock Science and Technologies uses the Basic Data Sharing Policy. The journal is committed to a more open research landscape, facilitating faster and more effective research discovery by enabling reproducibility and verification of data, methodology and reporting standards. The Journal of Livestock Science and Technologies encourages authors to cite and share their research data including, but not limited to: raw data, processed data, software, algorithms, protocols, methods, materials. Authors are encouraged to share or make open the data supporting the results or analyses presented in their article where this does not violate the protection of human subjects or other valid privacy or security concerns.

The Journal of Livestock Science and Technologies encourages authors to share the data and other artifacts supporting the results in the article by archiving it in an appropriate public repository. Authors should include a Data Accessibility Statement, including a link to the repository they have used, in order that this statement can be published alongside their paper.

The Journal of Livestock Science and Technologies requires authors of Original Investigation, Case Report, and Special Paper articles to (1) place the de-identified data associated with the manuscript in a repository; and (2) include a Data Availability Statement in the manuscript describing where and how the data can be accessed.

The Journal defines data as the digital materials underlying the results described in the manuscript, including but not limited to spreadsheets, text files, interview recordings or transcripts, images, videos, output from statistical software, and computer code or scripts. Authors are expected to deposit at least the minimum amount of data needed to reproduce the results described in the manuscript.

Data can be placed in any repository that makes data publicly available and provides a unique persistent identifier, including institutional repositories, general repositories (e.g., Figshare, Open Science Framework, Zenodo, Dryad, Harvard Dataverse, OpenICPSR), or discipline-specific repositories.

The Data Availability Statement should be placed in the manuscript at the end of the main text before the references. This statement must include (1) an indication of the location of the data; (2) a unique identifier, such as a digital object identifier (DOI), accession number, or persistent uniform resource locator (URL); and (3) any instructions for accessing the data, if applicable.

At the point of submission, you will be asked if there is a data set associated with the paper. If you reply yes, you will be asked to provide the DOI, pre-registered DOI, hyperlink, or other persistent identifier associated with the data set(s). If you have selected to provide a pre-registered DOI, please be prepared to share the reviewer URL associated with your data deposit, upon request by reviewers.

Where one or multiple data sets are associated with a manuscript, these are not formally peer reviewed as a part of the journal submission process. It is the author’s responsibility to ensure the soundness of data. Any errors in the data rest solely with the producers of the data set(s).

Please note: As you are submitting your manuscript to the Journal where submissions are double-blind peer reviewed, the main text file should not include any information that might identify the authors (i.e., Author Name, Address, Conflict of Interest and fund related information). As a data availability statement could reveal your identity, we recommend that you remove this from the anonymized version of the manuscript.

Exceptions to this policy will be made in rare cases in which de-identified data cannot be shared due to their proprietary nature or participant privacy concerns. Exceptions to policy and restrictions on data availability are granted for reasons associated with the protection of human privacy, issues such as biosafety, and/or to respect terms of use for data obtained under license from third parties. Confidential data, e.g., human subject or patient data, should always be anonymized, or permission to share should be obtained in advance. If in doubt, authors should seek counsel from their institution’s ethics committee.

Authors should include a data accessibility statement, including a link to the repository they have used, in order that this statement can be published alongside their paper. Below a few examples:

Data Availability Statement:

1. Data associated with this article are available in the Open Science Framework at .

2. The data that support the findings of this study are openly available in [repository name] at http://doi.org/[doi], reference number [reference number].

3. The data that support the findings of this study are openly available in [repository name] at [URL], reference number [reference number].

4. The data that support the findings of this study are available in [repository name] at [URL/DOI], reference number [reference number]. These data were derived from the following resources available in the public domain: [list resources and URLs]