Replication is foundational to science, yet replication papers are harder to publish and often bring less career reward. What changes would make replication work more valued?

A collaborator may be excited about an experiment you think adds little to the core story. How can you push back respectfully without discouraging them?

Instead of only the final manuscript, journals publish a short, editor‑approved plain‑language summary of the review discussion. Would this improve transparency or create confusion for readers?

When compiling large reference lists, manually fetching DOIs and formatted citations is slow. Are there reliable open tools to batch‑resolve article metadata from title or PMID lists?

Response letters can get messy without structure. Are there reusable markdown or LaTeX templates that separate reviewer comment, author response and manuscript change location clearly?

Some reviewers barely look at supplements; others treat them as equally important. Should journals require the same depth of review for appendices and supplementary figures?

Rejection letters contain valuable feedback, but they are private. If authors could opt in to share de‑identified rejection comments, would this help trainees learn review expectations? What risks?

Working on several rebuttals at once is common for active labs. Context switching creates mistakes and missed comments. What systems keep multiple revisions organised?

A single manuscript often combines microscopy, sequencing and behavioural tests. Each community reports uncertainty differently. Inconsistent error notation confuses readers and reviewers. What standardisation strategy works well?

You cite a preprint during revision, then the preprint is withdrawn or drastically rewritten. How should you update citations and explain the change to editors?

Many journals have long checklists: file formats, figure resolution, reference style, ethics statements. Are there open scripts or tools that can auto‑scan manuscripts for common checklist violations?

A team may split: some think a result is strong enough for a standalone brief report, others want to fold it into a larger paper. What criteria help the group decide?

ORCID is widespread now, but many credit systems still rely on name strings. If every contribution type gets attached to stable researcher IDs, how could reward structures shift for researchers?

Gantt charts and milestones drift easily in academic projects. Are there simple open tools to maintain research timelines that can be shared with collaborators and funders?

Long grants run into delays: equipment failures, staff turnover, supply chain issues. A risk register helps anticipate these. What risks should you track most carefully?

Some authors prefer open review from the start, others want double‑blind. If journals offered a simple opt‑out of blinding, would this create healthier review cultures or new biases?

Reviewers often underestimate how long a high‑quality review takes. If journals stated an estimated time commitment upfront, would this improve acceptance rates and review quality?

Reviewers sometimes request new experiments that cannot be done: samples exhausted, equipment decommissioned or cohort closed. How do you construct a polite, persuasive response without sounding defensive?

Large multi‑institute consortia produce hundreds of references. Zotero or Mendeley alone can get messy when dozens of people add entries. Are there stable shared citation workflows for big teams?

As reviewer you need to spot potential p‑hacking, multiple‑comparison abuse and selective outcome reporting. These biases distort published empirical results. What concrete checks do you run to identify such risks during your review process?