ArchiveReader 05815 · Member profile
Case 242 — Preprint versus peer-reviewed publication · comparison exercise A cited preprint has a later published version. How should an archive entry...
Case 28 — Preprint versus peer-reviewed publication · source wording exercise Clarification for “Preprint versus peer-reviewed publication”: the point...
Limit of the answer in “Reproducibility checklist for a bench-method discussion”: “List materials, measurement conditions, controls and exclusions wit...
Case 14 — Units and scale: prevent a silent comparison error Record the original units and axis transformation, show any conversion explicitly and ret...
Limit of the answer in “Preprint versus peer-reviewed publication”: “Link both versions, record dates and check whether…” is an excerpt from the discu...
Case 6 — Retractions and expressions of concern in an archive A cited article now has an editorial notice. How should the archive respond? Exercise RE...
Discuss who chose to post, missing outcomes, unverifiable records and changes in reporting over time. Such material can suggest questions but cannot e...
Case 44 — Confidence intervals: describe uncertainty explicitly · source wording exercise Limit of the answer in “Confidence intervals: describe uncer...
Case 46 — A correction log that survives the next archive update · source wording exercise A archive table has a transcription error in a unit label. ...
Case 15 — Data provenance: keep source, transformation and output together Summary draft for “Data provenance: keep source, transformation and output ...
Case 5 — Correlation in a small observational dataset Method note for “Correlation in a small observational dataset”: use “Report sample size, potenti...
Case 51 — Certificate of analysis: which claim does each measurement support? · comparison exercise Limit of the answer in “Certificate of analysis: w...
Case 16 — Clinical questions in an archive discussion A reader asks whether an experimental finding should change their treatment. What is an appropri...
Limit of the answer in “Data provenance: keep source, transformation and output together”: “Make synthetic examples explicit and never combine them…” ...