Data Science and Management Template
Get your Data Science and Management paper right the first time: a ready-made structure with the right abstract and citations, so editors see your science, not formatting slips.
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How to Use the Data Science and Management Template | A Step-by-Step Guide
Authored by Sumalatha Gangadhar | Published on 10 August, 2026
Submitting to Data Science and Management goes smoothly when your draft already matches the journal's own rules. Editors screen new manuscripts against the Data Science and Management guide for authors before peer review, so formatting, structure, and required statements should be right on the first draft rather than repaired during upload. This template sets that structure up for you.
What is the Data Science and Management Template?
It is a manuscript shell aligned to Data Science and Management. It covers front matter, the abstract the journal expects, a body organized to the journal's article types, and a reference list in the journal's required style. Confirm current scope and article types on the Data Science and Management journal page before you draft.
What's actually in a Data Sci Manag submission:
Prepare the title, authors, affiliations, and ORCID iDs. Write the abstract to the journal's rule and word limit, organize the body to the article type, and apply the required reference style from the first citation. Complete every declaration (ethics, competing interests, funding, data availability) the Data Science and Management guide for authors lists, and cite figures and tables in order.
What separates a clean submission from one that gets kicked back:
The common failure modes are formatting or reference style that does not match the guide for authors, missing required statements, and an incomplete portal checklist. Clear all three against the Data Science and Management guide for authors before you submit.
What does this Data Science and Management Template include?
The shell mirrors what editorial staff check first: article-type fit, the abstract rules, required declarations, and the journal's reference style. For more detail see the author resources. When your draft is ready, upload it through Editorial Manager.
Steps to Use This Template with SciSpace Agent
- Click Start Writing on this page. The SciSpace Agent prompt screen opens with the template loaded.
- Use the loaded template, or upload a version your group already uses for Data Sci Manag.
- Edit the prompt with your topic and article type, and note any requirement from the Data Science and Management guide for authors.
- Run the prompt. The agent drafts into the correct structure and reference style.
- Use View Outputs to verify required statements and formatting are present.
- Export and submit through Editorial Manager.
Data Science and Management Template Structure at a Glance
| Element | Data Sci Manag requirement |
|---|---|
| Abstract | Unstructured abstract required. The abstract should be concise and factual, stating briefly the purpose of the research, the principal results and major conclusions. Must be able to stand alone. No explicit word limit stated in the guide, but authors are generally encouraged to be succinct. References should be avoided (cite author(s) and year(s) only if essential). Non-standard abbreviations should be avoided or defined at first mention. No different requirements stated for different article types |
| Main text | Research Papers are not limited in size, but authors are strongly recommended to be as succinct as possible. No specific word or page limits stated for any article type. Reviews, Short Communications, Editorials, Case Reports, Discussions, and Commentaries are accepted with general descriptions but no explicit length limits provided in the guide |
| Declarations | Ethics approval/consent as applicable; competing interests; funding; data availability |
| Figures/tables | Publication-ready; cited in order |
| Supplemental | Upload separately when used |
| Keywords | Maximum of 6 keywords required. Use American spelling and avoid general and plural terms and multiple concepts (avoid 'and', 'of'). Be sparing with abbreviations: only firmly established abbreviations may be eligible. Keywords will be used for indexing purposes |
| References | Author-date style (Harvard-type). In text: single author name + year; two authors: both names + year; three or more: first author + 'et al.' + year. Reference list arranged alphabetically, then chronologically if needed. Examples show standard format: Author(s), Year. Title. Journal abbreviated name volume, pages. Book format: Author(s), Year. Title, edition. Publisher, City |
| Peer review | Double-blind review. All contributions are sent to a minimum of two independent expert reviewers. Manuscripts are first reviewed by editorial office for basic standards; papers that pass are assigned to Editor-in-Chief who invites reviewers (or assigns an associate editor/editorial board member to invite reviewers). Final decision is made by Editor-in-Chief (or assigned editor) after at least 2 reviews |
| Submission | www.editorialmanager.com/DSM/default.aspx |
Quick Tips for Using the Data Science and Management Template
Read the Data Science and Management guide for authors once before drafting and once before upload. Draft the abstract after results are stable. Set the reference style before adding citations. Keep a cover letter that states your contribution and fit to Data Science and Management in under a page.
Best Practices
Skim two or three recent Data Sci Manag papers to calibrate depth and figure style. Make the novelty clear in the first two pages. Deposit data and code when the policy on the Data Science and Management journal page requires it. Disclose any preprint or conference version with identifiers in the cover letter.
Before You Submit: Final Check
Do one focused pass against the Data Science and Management guide for authors: scope, length, reference style, required declarations, and figure quality. Then submit through Editorial Manager.
