# The 2026 Journal Submission Checklist > Your guide to the new essentials of manuscript submission in 2026. Learn how to write an AI disclosure and a data availability statement that meets journal. Source: https://www.alfredscholar.com/blog/the-2026-journal-submission-checklist/ Published: 2026-10-13 Author: Alfred Scholar Team ## Your Manuscript is Written. But is it Ready to Submit? You've spent months, maybe years, on your research. The experiments are done, the data is analyzed, and the final sentence is written. It’s a huge milestone. But in 2026, finishing the manuscript is only half the battle. The administrative gauntlet of journal submission has become more complex, and a new set of requirements can lead to an immediate desk rejection before your science is even reviewed. Gone are the days when you could simply upload a PDF and hope for the best. Today, editors and publishers expect a higher standard of transparency and reproducibility. The two biggest changes that trip up researchers now are the mandatory **AI disclosure statement** and the non-negotiable **data availability statement**. This guide is your final pre-flight check. We'll walk through the new essentials of a journal submission checklist for 2026, focusing on how to write the statements that journals now demand. ## The New Core: AI Disclosure Statements Just a few years ago, the idea of declaring AI use was unheard of. Now, it's a matter of research integrity. Publishers need to know how AI tools contributed to the manuscript to ensure that the core intellectual work and accountability remain with the human authors. ### When Do You Need to Disclose AI Use? The consensus among major publishers like Nature, Elsevier, and Wiley is that you must disclose the use of any generative AI tool that assisted in a substantive way. This goes beyond basic spell checkers. Disclosure is required if you used an AI tool for: * **Literature Search and Summarization:** Using an AI research assistant to find, screen, or summarize papers. * **Drafting or Editing:** Generating or significantly rewriting text for any section of your manuscript, from the abstract to the discussion. * **Data Analysis and Visualization:** Employing AI to analyze data, generate code for analysis, or create figures and tables. * **Idea Generation:** Brainstorming research questions or outlining your paper with an AI's help. The principle is simple: if an AI tool contributed to the intellectual content of the paper, you must disclose it. ### How to Write an AI Disclosure Statement Clarity and honesty are key. Your goal is to be transparent, not to write a lengthy essay. Most journals ask for this statement in the Methods section or in the Acknowledgements. A good disclosure statement includes three elements: 1. **The Tool:** Name the specific AI tool(s) used (e.g., ChatGPT 4.0, Claude 3, Alfred Scholar's AI Chat). 2. **The Task:** Describe precisely what you used it for (e.g., "for editing the manuscript for grammar and clarity," "to generate Python code for data visualization," "to summarize preliminary literature during the initial research phase"). 3. **The Oversight:** Crucially, you must state that you, the human author, reviewed, edited, and take full responsibility for the final content. **Example Disclosure Statement:** > "During the preparation of this work, the authors used ChatGPT 4.0 (OpenAI) to edit for language and clarity. All AI-generated text was reviewed and revised by the authors, who take full responsibility for the final content of the publication." Never list an AI as a co-author. Authorship implies accountability, which an AI cannot hold. For more on this, our guide on [ethical AI for academic writing](/blog/ethical-ai-for-academic-writing/) provides a deeper dive. ## Non-Negotiable: The Data Availability Statement For years, the phrase "data available upon reasonable request" was a common sight in research papers. Today, that phrase is a red flag for many editors. The push for reproducible research has made formal data sharing a standard practice. Your manuscript must include a Data Availability Statement (DAS) that explains where and how readers can access the data that supports your findings. ### Why Vague Statements No Longer Work The shift away from "available upon request" comes from studies showing that it often didn't work. Researchers who requested data were frequently met with silence, lost files, or refusals. To combat this and improve [research reproducibility](/blog/how-to-create-a-reproducible-research-package-that-journals-love/), journals now align with the FAIR Data Principles. The data supporting your paper should be: * **Findable:** Assigned a persistent identifier (like a DOI). * **Accessible:** Available online through a standard protocol. * **Interoperable:** In a format that can be used with common tools. * **Reusable:** Licensed for reuse with clear documentation. The easiest way to achieve this is by depositing your data in a public repository. ### Writing a Data Availability Statement That Editors Love Your DAS should be direct and specific. It tells the reader exactly what to expect. There are a few standard formats depending on your situation. **Template 1: Data in a Public Repository (The Gold Standard)** > "The data that support the findings of this study are openly available in Zenodo at http://doi.org/10.5281/zenodo.1234567." **Template 2: Data Included in the Article** > "All data generated or analyzed during this study are included in this published article and its supplementary information files." **Template 3: Data with Restricted Access (for sensitive data)** > "The data for this study contain sensitive patient information and are not publicly available due to privacy restrictions. De-identified data may be made available to qualified researchers upon reasonable request to the [Name of Your Institution's Data Access Committee]." **Template 4: No New Data Created** > "Data sharing is not applicable to this article as no new datasets were generated or analyzed during the current study." The key is to deposit your data *before* you write the statement. You need the DOI or accession number to include in the manuscript. Trying to do it after acceptance is a recipe for stress and delays. ## The Complete Pre-Submission Checklist for 2026 Beyond the two major new requirements, the fundamentals of a clean submission still matter. An editor at a mid-tier journal recently noted that nearly a third of manuscripts are desk-rejected for administrative reasons alone. Don't let that be you. Run through this final checklist before you click "submit." ### Content and Formatting - [ ] **Target Journal Scope:** Does your research question genuinely fit the journal's aims and scope? (This is the #1 reason for desk rejection). - [ ] **Author Guidelines:** Have you read and followed them *exactly*? Check word counts, section formatting (IMRaD), and abstract structure. - [ ] **Figures and Tables:** Are they high-resolution (300 DPI or more)? Do the file formats (TIFF, EPS) match journal requirements? Is every figure cited in the text? - [ ] **References:** Is every in-text citation in the reference list? Is every entry in the reference list cited in the text? Does the formatting precisely match the journal's style? ### Required Statements - [ ] **AI Disclosure Statement:** Included and written clearly. - [ ] **Data Availability Statement:** Included, specific, and accurate. - [ ] **Conflict of Interest Statement:** All potential conflicts declared. - [ ] **Funding Statement:** All funding sources acknowledged correctly. - [ ] **Author Contributions:** Each author's role is clearly defined (many journals now use the CRediT taxonomy). - [ ] **Ethics Approval:** IRB or ethics committee approval number is included for human or animal research. ### Final Polish - [ ] **Cover Letter:** Is it brief, professional, and tailored to the journal? It should explain why your paper is a good fit, not just summarize it. - [ ] **Anonymization:** If submitting for double-blind peer review, have you removed all identifying information from the manuscript file and file properties? - [ ] **Proofreading:** Has the manuscript been proofread by a colleague or a professional service? Small typos and grammatical errors create a poor first impression. Submitting a manuscript in 2026 requires more than just great science; it requires meticulous preparation. By treating your submission package with the same rigor as your research, you give your work the best possible chance of being seen, reviewed, and published.