ISSN 2989-4034 online

Scifood welcomes submissions of high-quality original research articles and review papers within the scope of the journal.
All manuscripts undergo an initial editorial assessment to evaluate scope relevance, originality, scientific quality, and compliance with ethical standards. Manuscripts that meet these criteria proceed to peer review.
Authors are responsible for ensuring that:
Manuscripts that do not meet the journal’s minimum scientific, ethical, or formal requirements may be rejected without external peer review (desk rejection).
Article Processing Charge (APC)
Scifood is a fully open access journal. No submission fee is charged.
An Article Processing Charge (APC) is requested only after the manuscript has successfully passed the initial editorial assessment (scope relevance, originality, and basic scientific and ethical evaluation). The peer-review process is initiated only after confirmation of APC payment.
Payment of the APC has no influence on editorial decisions, peer-review outcomes, or acceptance or rejection of the manuscript. Editorial decisions are based exclusively on scientific quality, originality, and relevance.
Authors may request an APC waiver or discount during the submission process by providing a justified request in the designated comments field. Waiver requests are evaluated independently of editorial decisions.
Detailed information on APC amounts, waivers, refunds, formatting, structure, and submission requirements is provided in the Instructions for Authors and the mandatory Article Template, which must be followed for all submissions.
By submitting a manuscript to Scifood, the authors confirm that:
Authors retain copyright of their work.
By submitting a manuscript, authors agree that:
Full details are provided in the License to Publish.
Scifood is committed to protecting the personal data of its users in accordance with applicable data protection legislation, including Regulation (EU) 2016/679 (General Data Protection Regulation – GDPR) and Act No. 18/2018 Coll. of the Slovak Republic on the Protection of Personal Data, as amended.
Data Controller
The data controller is:
HACCP Consulting s.r.o.
Slivková 12, 951 01 Nitrianske Hrnčiarovce, Slovakia
Company ID (IČO): 55118771
VAT ID: SK2121871257
Registered in the Commercial Register of the District Court of Nitra, Slovakia, Section Sro, Insert No. 59185/N
Official journal website: https://scifood.eu
Publisher website: https://www.haccp.sk
Personal Data Collected
The journal collects and processes personal data provided voluntarily by users, including authors, reviewers, and editors, such as:
Purpose of Data Processing
Personal data are processed exclusively for legitimate journal-related purposes, including:
Personal data will not be used for commercial marketing purposes and will not be shared with third parties for purposes unrelated to scholarly publishing.
Legal Basis for Processing
Personal data are processed on the basis of:
By registering with the journal and submitting a manuscript, users acknowledge and agree to the processing of their personal data for these purposes.
Data Sharing and Indexing
Published articles and associated metadata (including author names, affiliations, and contact information as required by publishing standards) may be shared with:
Such sharing is limited to what is necessary for scholarly communication and is carried out in accordance with the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
Data Retention
Personal data related to submitted and published articles are retained for the duration necessary to fulfil publication, archiving, and indexing obligations.
Due to the nature of scholarly publishing, personal data included in published articles, metadata, and external indexing databases cannot be fully deleted after publication.
Rights of Data Subjects
In accordance with GDPR, users have the right to:
Requests concerning personal data protection may be submitted in writing to the data controller.
Data Security
The journal implements appropriate technical and organizational measures to protect personal data against unauthorized access, loss, or misuse.
ISSN 2989-4034 online
