# secdr/research-method

论文写作与资料分享

Repository: https://github.com/secdr/research-method
Canonical: https://ross.abutalabs.com/products/research-method
License Family: other
Topics: sci, paper, research
Last push: 2022-08-07T01:51:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4068, "days_push": 1488, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3305, forks 649 (observed 2026-08-28T04:07:55.847117+00:00)

## What it is
A curated collection of documents, guides, and templates on academic paper writing, literature search, journal submission, rebuttal, and conference presentations. It is a shared resource repository for researchers rather than software.

## Use cases
- learn how to write a scientific paper
- find tips for submitting to academic journals
- get cover letter and response letter templates
- advice on doing PhD research and finding research ideas
- prepare a conference oral or spotlight presentation
- learn how to respond to reviewer comments

## When to choose
- you are a graduate student or researcher writing your first academic paper
- you need practical templates for journal submission and rebuttal letters
- you want curated Chinese and English advice on research methodology

## When to avoid
- you need software tooling rather than reading material
- you want an actively updated resource (last release 2022)
- you need peer-reviewed or formally licensed content

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials, developer-tools
- platform: cross-platform
- tags: academic-writing, research-methods, paper-publishing, phd, sci-papers, chinese-language

## Member repositories
- secdr/research-method (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:55.847117+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:42:39.497076+00:00, confidence not recorded.
  - readme: https://github.com/secdr/research-method (fetched 2026-08-28T04:07:55.847117+00:00, sha a0aa0e4ae373)
- Data as of 2026-08-30T08:39:29.467469+00:00.