| Conceptualization |
Framing the overall research idea or question, defining the main objectives and deciding which problems the study should address. |
| Methodology |
Designing the overall approach, including study design, experimental procedures, measurement strategies or analytic frameworks. |
| Investigation |
Carrying out the practical work of the study, such as recruiting participants, performing experiments or collecting primary data. |
| Data curation |
Organizing, cleaning, documenting and preserving datasets (and associated code) so they remain understandable and usable over time. |
| Formal analysis |
Applying statistical, computational or other analytic techniques to examine data and produce the results reported in the article. |
| Software |
Developing, testing or adapting software, code or pipelines that are essential for data collection, analysis or visualization. |
| Validation |
Checking the robustness and reproducibility of data, methods, tools or models, for example by re-running analyses or performing sensitivity checks. |
| Resources |
Providing critical materials, patients, samples, infrastructure, instrumentation, data sources or other assets that make the work possible. |
| Visualization |
Designing and producing figures, graphs and other visual elements that accurately communicate the results. |
| Writing: original draft |
Preparing the initial version of the manuscript or substantial sections of it, such as methods, results or discussion. |
| Writing: review & editing |
Revising the manuscript at later stages, integrating feedback, restructuring content and improving clarity and coherence. |
| Supervision |
Providing overall scientific leadership, oversight and mentorship for the project. |
| Project administration |
Coordinating day-to-day project activities, timelines, documentation and compliance with protocols. |
| Funding acquisition |
Securing financial support that directly underpins the work reported in the article (for example, grants or contracts). |