Automated Data Management for research datasets

ADAM is a storage system for heterogeneous research data that performs dynamic, automated indexing to provide powerful search, discovery and collaboration features without the restrictions of a structured repository. It is intended for anyone who collates working data as part of their research - including articles, spreadsheets, images and datasets.

Features

• Automatic metadata extraction handlers
  • Articles from numerous journals, including citation retrieval
  • Office documents: Word, Excel, PowerPoint (and OpenOffice equivalents)
  • Images: PNG, JPEG, GIF, LSM, CXD, LIF
  • Microarray data: CEL
  • Mass spectrometry data: Waters
  • NMR data: Bruker
  • Scripts: Python, MATLAB, R
• Network drive (SMB) access
• Faceted browsing with previews
• Language detection and entity extraction for uploaded documents
• Full-text search
• Analytics for uploaded data
• Online file upload, browsing and download
• Dataset sharing with named users or groups, or publishing
• Online real-time and optional email notification of new uploads and sharing
• Automated tagging using MeSH terms and suggestions for similar articles
• Optional manual tagging
• QR code generation for mobile access to uploaded documents