# DoneSCI - AI Research Workspace

> DoneSCI is a unified multilingual AI research workspace for biomedical researchers, clinicians, laboratories, and academic institutions. It bridges clinical & funding intelligence, scholarly literature discovery, local-first experimental data analysis, publication-grade scientific figure design, and evidence-grounded academic writing in one continuous research workflow.

Canonical URL: https://donesci.com/
Full documentation: https://donesci.com/llms-full.txt
Sitemap: https://donesci.com/sitemap.xml
Supported Languages: English (en-US), Simplified Chinese (zh-CN), Traditional Chinese (zh-TW), Japanese (ja-JP), Korean (ko-KR), German (de-DE).

## Core Capabilities & Workspaces

### 1. Research Intelligence
- Overview URL: https://donesci.com/intelligence
- Clinical R&D: https://donesci.com/intelligence/clinical
- Funding Opportunities: https://donesci.com/intelligence/funding
- Data Authorities: ClinicalTrials.gov (480,000+ public clinical trial records with official NCT IDs) and Grants.gov (US federal grant opportunities with CFDA/Opportunity IDs).
- Key Operations: Structured multi-field filtering, phase/status comparison, competitive pipeline scanning, sponsor benchmarking, funding fit evaluation, and AI-driven synthesis while strictly preserving primary official links.

### 2. Multi-Source Literature Discovery
- Overview URL: https://donesci.com/literature
- Providers: PubMed, Europe PMC, OpenAlex, Google Scholar, DataCite.
- Preserved Identifiers: DOI, PMID, PMCID, arXiv ID, DataCite DOI.
- Key Operations: Evidence aggregation, structured metadata extraction, abstract analysis, BibTeX export, and seamless passing of references to downstream writing workflows.

### 3. Local-First Experiment Data Analysis
- Overview URL: https://donesci.com/analysis
- Experiment Tool: https://donesci.com/analysis/experiment
- Privacy Guarantee: In-browser CSV parsing and descriptive statistics (mean, median, standard deviation, quartiles, missingness profiling). Raw row-level experimental data never leaves the client browser. Only aggregate descriptive statistics and user-supplied experiment hypotheses are submitted for optional AI interpretation.

### 4. Publication-Grade Scientific Figures
- Overview URL: https://donesci.com/plot
- Figure Types: Graphical Abstracts, TOC Figures, molecular & cellular mechanisms, signaling pathways, experimental workflows, clinical CONSORT flowcharts, technical roadmaps, and bioinformatics visualizations (Volcano, Heatmap, UMAP, Kaplan-Meier curves).
- Journal Standards: 300+ DPI high-resolution export, RGB/CMYK compliance, and lossless vector editing via an integrated Draw.io XML workflow.

#### Public Figure Discovery & High-Intent Task Pages
- Scientific Figure Gallery: https://donesci.com/scientific-figure-gallery
- Scientific Figure Generator: https://donesci.com/scientific-figure-generator
- Graphical Abstract Generator: https://donesci.com/graphical-abstract-generator
- Methods to Figure: https://donesci.com/methods-to-figure
- CRISPR Workflow Diagram: https://donesci.com/crispr-workflow-diagram
- PRISMA Flow Diagram: https://donesci.com/prisma-flow-diagram
- Clinical Trial Flowchart: https://donesci.com/clinical-trial-flowchart
- Bioinformatics Workflow Diagram: https://donesci.com/bioinformatics-workflow-diagram
- Localization: every public discovery page is available under /en-US, /zh-CN, /zh-TW, /ja-JP, /ko-KR and /de-DE with self-canonical URLs and reciprocal hreflang annotations.
- Machine-readable markup: high-intent task pages expose WebPage/CollectionPage, BreadcrumbList, FAQPage, HowTo and SoftwareApplication JSON-LD where applicable.

### 5. Evidence-Grounded AI Research Writing
- Overview URL: https://donesci.com/write
- Academic Genres: Literature Reviews (https://donesci.com/write/review), Grant Proposals (https://donesci.com/write/grant), Journal Articles (https://donesci.com/write/journal), Theoretical Treatises (https://donesci.com/write/treatise), and Theses/Dissertations (https://donesci.com/write/thesis).
- Anti-Hallucination Core: Structured multi-stage drafting (Topic Scope -> Research Outline -> Reference Verification -> Sectional Drafting -> Academic Polishing). Outlines and citations must bind to verified DOI/PMID literature records.

## Platform Trust & Boundaries
- Human-in-the-loop: AI interpretations and synthesis serve as exploratory and drafting aids. Clinical, regulatory, funding, and publication decisions must be verified by qualified scientists against primary cited sources.
- Commercial & Pricing: Transparent compute-credit model. Pricing overview: https://donesci.com/pricing
- Legal & Compliance: Terms of Service (https://donesci.com/legal/terms), Privacy Policy (https://donesci.com/legal/privacy).