{"id":12423,"date":"2026-02-02T21:28:32","date_gmt":"2026-02-02T18:28:32","guid":{"rendered":"https:\/\/biointerfaceresearch.com\/?page_id=12423"},"modified":"2026-02-03T17:20:19","modified_gmt":"2026-02-03T14:20:19","slug":"data-integrity-and-reproducibility","status":"publish","type":"page","link":"https:\/\/biointerfaceresearch.com\/?page_id=12423","title":{"rendered":"Data Integrity and Reproducibility"},"content":{"rendered":"<p>The journal is committed to upholding high standards of data integrity, transparency, and reproducibility in published research. Authors are expected to ensure that the data underlying their findings are accurate and reliable, and to present them in a manner that allows independent verification of results, where reasonably possible.<\/p>\n<h3><strong>Data Integrity<\/strong><\/h3>\n<p>Authors must ensure that all data reported in their manuscripts are collected, analyzed, and presented honestly and without inappropriate manipulation. This includes, but is not limited to:<\/p>\n<ul>\n<li>accurate reporting of experimental methods, materials, and procedures;<\/li>\n<li>appropriate handling and processing of raw data;<\/li>\n<li>clear distinction between original (raw) data, processed data, and derived results;<\/li>\n<li>avoidance of fabrication, falsification, selective reporting, or inappropriate data exclusion.<\/li>\n<\/ul>\n<p>Authors are expected to document data processing steps in a manner that ensures the traceability of results from raw data to final reported outcomes. Any reuse of previously published or third-party data must be clearly identified, appropriately cited, and distinguished from newly generated data.<\/p>\n<p>Raw data generated directly by analytical instruments or acquisition software should be appropriately processed and interpreted before inclusion in the manuscript. Images, graphs, or figures submitted in their original, unprocessed output format from instrument software, without scientific processing or contextual analysis, are not considered sufficient to support reproducible research.<\/p>\n<p>All authors share collective responsibility for the integrity of the data presented in the manuscript. The corresponding author is responsible for ensuring that data handling and presentation comply with the journal\u2019s editorial policies and that all co-authors are aware of and agree with the reported data.<\/p>\n<p>Any image-based data (e.g., microscopy images, gels, blots, spectra, chromatograms, or similar materials) must not be inappropriately altered. Adjustments such as brightness, contrast, or scaling may be applied only if they are applied uniformly, do not obscure or eliminate relevant features, and are clearly described in the Methods section where applicable. Data presented in figures, tables, and the main text must be internally consistent and supported by the underlying data.<\/p>\n<h3><strong>Reproducibility of Research<\/strong><\/h3>\n<p>Authors should provide sufficient methodological detail to enable other researchers to reproduce the study or to critically evaluate the validity of the findings, where reasonably possible. This includes:<\/p>\n<ul>\n<li>clear and complete descriptions of experimental design and analytical methods;<\/li>\n<li>transparent reporting of data processing steps and analytical workflows;<\/li>\n<li>appropriate and justified reporting of statistical analyses and relevant parameters, including information necessary to assess the robustness of the results;<\/li>\n<li>identification of key materials, instruments, software, and software versions used;<\/li>\n<li>disclosure of any deviations from standard or previously published methods.<\/li>\n<\/ul>\n<p>Reproducibility does not necessarily require exact replication of all experiments but should allow for independent evaluation of the study\u2019s design, analysis, and conclusions. Authors should clearly describe any methodological or practical limitations that may affect the reproducibility of the study.<\/p>\n<p>Where analytical code, scripts, or custom software are used, authors should provide sufficient detail to enable understanding of the analytical approach, even when the code itself cannot be made publicly available. Relevant parameters, settings, and assumptions should be described where applicable.<\/p>\n<p>Editors or reviewers may request additional methodological details, data processing information, or clarifications during the peer-review process to support the assessment of reproducibility. Failure to provide reasonable clarification may result in requests for revision.<\/p>\n<p>Where applicable, authors are encouraged to make underlying data, processed datasets, protocols, and analytical code available through public repositories or as supplementary materials, in accordance with the journal\u2019s Data Availability and Data Sharing policies.<\/p>\n<h3><strong>Availability of Underlying Data<\/strong><\/h3>\n<p>The data supporting the conclusions of a manuscript should be retained by the authors for a reasonable period following publication and made available upon reasonable request, unless legal, ethical, or confidentiality constraints apply. Any such restrictions must be clearly stated in the Data Availability Statement.<\/p>\n<p>Underlying data may include raw data, processed datasets, relevant subsets of data, and associated metadata or documentation necessary to understand and evaluate the reported results. Where access to data is restricted, authors should make reasonable efforts to provide access through appropriate safeguards, such as anonymization, controlled access, or data use agreements, where feasible.<\/p>\n<p>The corresponding author is responsible for coordinating responses to data requests and for ensuring that data are provided in a manner consistent with ethical approvals, legal requirements, and the journal\u2019s editorial policies.<\/p>\n<p>Editors or reviewers may request access to underlying data during the peer-review or post-publication process to support the evaluation of the manuscript and the reproducibility of the findings. Failure to provide requested data without a reasonable justification may result in delays in the review process, rejection of the manuscript, or post-publication editorial action.<\/p>\n<h3><strong>Corrections and Post-Publication Issues<\/strong><\/h3>\n<p>If errors affecting data integrity or reproducibility are identified after publication, authors are expected to cooperate fully with the editorial office to correct the scholarly record in a transparent and timely manner.<\/p>\n<p>Post-publication issues may be identified by authors, editors, reviewers, or readers. All reported concerns are subject to editorial assessment to determine their nature, scope, and potential impact on the validity of the published work. Authors will be given an opportunity to respond and provide relevant information or clarification.<\/p>\n<p>Depending on the nature and severity of the issue, and following editorial evaluation, appropriate actions may include:<\/p>\n<ul>\n<li>publication of a correction, where errors are minor and do not affect the overall conclusions of the work;<\/li>\n<li>publication of an expression of concern, where there are unresolved issues or insufficient information to reach a final conclusion;<\/li>\n<li>retraction of the article, where errors or data integrity issues significantly compromise the reliability of the findings.<\/li>\n<\/ul>\n<p>Honest errors identified post-publication will be addressed in a manner proportional to their impact on the scientific record. In cases where underlying data cannot be verified, are unavailable without reasonable justification, or where serious concerns regarding data integrity arise, editorial action may be taken to ensure transparency and protect the integrity of the literature.<\/p>\n<p>All post-publication actions are conducted in accordance with established editorial and ethical guidelines.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The journal is committed to upholding high standards of data integrity, transparency, and reproducibility in published research. Authors are expected to ensure that the data underlying their findings are accurate and reliable, and to present them in a manner that allows independent verification of results, where reasonably possible. Data Integrity &hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":12333,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-12423","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=\/wp\/v2\/pages\/12423","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12423"}],"version-history":[{"count":2,"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=\/wp\/v2\/pages\/12423\/revisions"}],"predecessor-version":[{"id":12559,"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=\/wp\/v2\/pages\/12423\/revisions\/12559"}],"up":[{"embeddable":true,"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=\/wp\/v2\/pages\/12333"}],"wp:attachment":[{"href":"https:\/\/biointerfaceresearch.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12423"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}