Research Collaboration Platform

King Arthur &
SMAL Lab at K-State

A collaborative research platform for King Arthur and the SMAL Lab at Kansas State University. Upload, explore, analyze, and visualize research datasets — securely and together.

Secure shared workspace · CSV, XLSX & DOCX support · Statistical analysis tools

Three steps to research insight

From raw research data to shareable findings — streamlined for the whole team.

01

Upload & Preview

Drag and drop CSV, Excel, or DOCX research files up to 100 MB. Preview the full file content before uploading, then select the destination folder in the team workspace. All uploads are instantly accessible to collaborators.

02

Browse & Explore

Navigate the shared folder structure to locate any research file. Click to open CSV and Excel files in a rich inline viewer — complete with sheet tabs and full table scrolling — without leaving the page.

03

Analyze & Share

Select any CSV or Excel file and run statistical tests, prepare data with normalization and filtering, then create visualizations. Share charts with collaborators — complete with a name and message — for collaborative research review.

Built for Research Collaboration

Every feature designed to support the King Arthur & SMAL Lab research workflow — from raw data to shared insights.

Team Upload

Shared File Workspace

Upload CSV, Excel, and DOCX research files to an organized team folder structure. Preview each file in full before uploading to confirm you have the right data. Every upload is instantly visible to all collaborators — with file name, size, uploader, and timestamp tracked in a central file registry.

Upload Files
Data Viewer

In-Page File Explorer

Browse the shared folder hierarchy and open any research file directly in the page. CSV files render as paginated tables. Excel files support switching between worksheets. Word documents are rendered as formatted HTML — no downloads needed to view your data.

Browse Data
Analysis & Viz

Statistical Analysis Engine

Select any CSV or Excel dataset and run statistical tests — t-tests, ANOVA, correlation, chi-square, and more. Prepare data with normalization, filtering, and encoding. Create comparative visualizations and share charts with collaborators, complete with a message describing the findings.

Run Analysis
Data Ingestion

Upload Files

Select files, review them, choose a destination folder, then upload. Supports .xlsx, .csv, and .docx — up to 100 MB each.

1

Select Files

Drag & drop or click to browse — multiple files allowed

Drop files here or browse

XLSX CSV DOCX

Max 100 MB per file

2

Staged Files

Click a file name to preview its contents below. Remove any files you don't want to upload.

No files staged yet. Drop files above.
2b

File Preview

Full content of the selected staged file is shown here for review

Stage a file to see its full content preview here.
3

Choose Destination

Navigate to the folder where files should be stored

Uploaded Files

File Name Folder Type Size Uploaded by Date Status

No files yet

Upload your first file using the panel above.

Data Repository

Data Explorer

Navigate folders, browse files, and view their contents inline. Select any CSV, XLSX, or DOCX file to open it directly in the page.

Browse Storage

Navigate folders and click a file to view it inline below

Select a file from the browser to view its contents here.

File Name Folder Type Size Uploaded by Date Status

No files found

Upload files to see them here.

Analytics Engine

Analyze & Visualize

Select a CSV or XLSX file, prepare the data, run statistical tests, and create visualizations to share with the collaboration.

1

Select a File to Analyse

Navigate team storage and click a file to load it for analysis

Shared Research Visuals

Shared Visualizations

Browse all charts and visualizations shared by the collaboration. Search, sort, and filter to find relevant findings. Each visualization includes the creator's name, description, and timestamp.

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Get In Touch

Contact Us

Have a question about the research collaboration or the platform? Reach out to the King Arthur or SMAL Lab team — we'll respond as soon as possible.

Send Us a Message

Email

research@ka-smal.com

support@ka-smal.com

Location

SMAL Lab, Kansas State University

Manhattan, KS 66506

Hours

Mon–Fri, 9 AM – 5 PM CST

Kansas State University

Response Time

Within 1 business day

Priority support available

SMAL Lab · Kansas State University · Manhattan, KS

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