Open Science GuideSAFE

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The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: open-science-guide
description: "Pre-registration, open data, and FAIR principles for research"
metadata:
  openclaw:
    emoji: "🔓"
    category: "research"
    subcategory: "funding"
    keywords: ["pre-registration", "registered report", "open science framework", "FAIR data principles", "open data"]
    source: "wentor-research-plugins"
---

# Open Science Guide

Implement open science practices including study pre-registration, open data sharing, registered reports, and FAIR data principles to increase research transparency and reproducibility.

## Why Open Science?

Open science practices address the replication crisis and increase trust in research findings:

| Practice | Problem It Addresses |
|----------|---------------------|
| Pre-registration | Prevents HARKing (hypothesizing after results are known) and p-hacking |
| Open data | Enables verification, reanalysis, and meta-analyses |
| Open materials | Allows exact replication of studies |
| Open access | Removes paywalls that limit access to knowledge |
| Registered reports | Eliminates publication bias (acceptance before results are known) |
| Open code | Enables computational reproducibility |

## Pre-Registration

### What to Pre-Register

Pre-registration commits you to your research plan before seeing the data:

```markdown
Pre-registration template (standard fields):

1. HYPOTHESES
   - H1: [Specific, directional hypothesis]
   - H2: [Another hypothesis]

2. DESIGN
   - Study type: [Experiment / Survey / Observational]
   - Between/within subjects design: [Details]
   - Conditions: [List experimental conditions]

3. SAMPLING PLAN
   - Sample size: [N = X, justified by power analysis]
   - Stopping rule: [When will data collection stop?]
   - Inclusion/exclusion criteria: [List]

4. VARIABLES
   - Independent variables: [List with levels]
   - Dependent variables: [List with measurement details]
   - Covariates: [List any control variables]

5. ANALYSIS PLAN
   - Primary analysis: [Exact statistical test, e.g., "2x3 mixed ANOVA"]
   - Secondary analyses: [Additional planned analyses]
   - Inference criteria: [alpha level, correction for multiple comparisons]
   - Exclusion criteria: [How will outliers or failed attention checks be handled?]
   - Missing data: [How will missing data be handled?]

6. OTHER
   - Exploratory analyses: [Analyses not tied to specific hypotheses]
```

### Where to Pre-Register

| Platform | URL | Disciplines | Features |
|----------|-----|-------------|----------|
| OSF Registries | osf.io/registries | All | Free, flexible templates, versioned |
| AsPredicted | aspredicted.org | Social sciences, psychology | Simple 9-question form, private until shared |
| ClinicalTrials.gov | clinicaltrials.gov | Clinical research | Required for clinical trials (FDA) |
| PROSPERO | crd.york.ac.uk/prospero | Systematic reviews | Health-related reviews only |
| AEA RCT Registry | socialscienceregistry.org | Economics | RCTs in social sciences |

### Pre-Registration Workflow

```
1. Design your study
2. Write the pre-registration document
3. Have a colleague review it
4. Submit to a registration platform
5. Receive a time-stamped registration (URL + DOI)
6. Collect and analyze data following the pre-registered plan
7. Report results transparently:
   - Confirmatory analyses (pre-registered)
   - Exploratory analyses (clearly labeled as exploratory)
8. Link the pre-registration in your manuscript
```

## Registered Reports

Registered Reports are a publication format where peer review occurs before data collection:

```
Stage 1 (Before Data Collection):
  - Submit introduction, methods, and analysis plan
  - Peer review evaluates the research question and methodology
  - If accepted: "In-Principle Acceptance" (IPA)
  - Paper will be published regardless of results

Stage 2 (After Data Collection):
  - Collect data following the approved protocol
  - Analyze and report results
  - Add discussion section
  - Final peer review checks adherence to protocol
  - Publication
```

Over 300 journals now accept Registered Reports. Check the registry at cos.io/rr.

### Benefits of Registered Reports

- Eliminates publication bias (null results are published)
- Ensures methodological rigor is reviewed before sunk costs
- Prevents post-hoc changes to hypotheses or analyses
- Provides certainty of publication to researchers

## FAIR Data Principles

FAIR principles ensure research data is **F**indable, **A**ccessible, **I**nteroperable, and **R**eusable:

### Findable

```markdown
- F1: Data are assigned a globally unique, persistent identifier (DOI)
- F2: Data are described with rich metadata
- F3: Metadata include the identifier of the data
- F4: Data are registered or indexed in a searchable resource

Actions:
- Deposit data in a repository that assigns DOIs
- Write a comprehensive README and data dictionary
- Use standard metadata schemas (Dublin Core, DataCite)
```

### Accessible

```markdown
- A1: Data are retrievable by their identifier using open protocols (HTTP)
- A2: Metadata remain accessible even if data are no longer available

Actions:
- Use established repositories (not personal websites)
- Specify access conditions clearly (open, restricted, embargoed)
- Even if data cannot be shared, publish metadata describing them
```

### Interoperable

```markdown
- I1: Data use a formal, accessible, shared language (e.g., CSV, JSON, RDF)
- I2: Data use vocabularies that follow FAIR principles
- I3: Data include qualified references to other data

Actions:
- Use standard file formats (CSV, not proprietary Excel)
- Use standard variable names and coding schemes
- Link to related datasets using DOIs
```

### Reusable

```markdown
- R1: Data are richly described with provenance information
- R2: Data are released with a clear, accessible data usage license
- R3: Data meet domain-relevant community standards

Actions:
- Include a data dictionary with variable descriptions
- Apply a license (CC-BY 4.0 recommended)
- D

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

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none-observed

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none-observed

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Gates applied: no_behavioural_pass.