File Sharing for Researchers

Your collaborator at another university needs the dataset. It is 400 MB of CSV files. Your institutional email caps at 25 MB. Your lab does not have a shared cloud drive. They need it before the submission deadline.

Why Researchers Struggle with File Sharing

Research involves sharing large datasets, analysis scripts, supplementary materials and draft manuscripts between collaborators who are often at different institutions. Each institution has its own IT policies, firewall restrictions and cloud storage systems that do not interoperate.

Common pain points include: email attachment limits that reject datasets, institutional cloud drives that require VPN access for external collaborators, version confusion when papers bounce between co-authors and size limits on journal submission portals for supplementary materials.

How EasySend Works for Researchers

1. Upload your dataset, code and papers as one bundle
2. Share the link with collaborators at any institution
3. No institutional IT approval needed: works in any browser
4. Track downloads to confirm collaborators received the files

Sharing Research Data

Research datasets come in many formats: CSV, Excel, SQL dumps, HDF5, FITS, MATLAB files and custom binary formats. EasySend accepts all file types with no format restrictions. Upload your data, share the link and your collaborator downloads the exact files you sent.

Supplementary Materials for Journal Submissions

Many journals have strict file size limits for supplementary materials. Upload your full supplementary package to EasySend, include the link in your manuscript and reviewers can access everything without hitting the journal portal limits. The link works for anyone with no login required.

Sharing Pre-Prints and Manuscripts

When circulating draft manuscripts for feedback, bundle the manuscript with figures, tables and supplementary data in one upload. Each reviewer gets the same link with the complete package. Version your files clearly (Manuscript_v3_20260329.pdf) so reviewers know which version they are reading.

Data Security for Sensitive Research

For research involving human subjects data, proprietary datasets or pre-publication results, enable end-to-end encryption. The data is encrypted in your browser before upload and can only be decrypted by someone with the password. This meets the data protection requirements of most institutional review boards.

Using the API for Automated Workflows

Researchers who generate data programmatically can use the EasySend API to upload results automatically. After a simulation completes, a Python script can upload the output files and email the share link to collaborators. No manual uploading needed. Python upload tutorial.