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Key benefits for academic researchers

  • Capture and organize fragmented data from different locations and sources.
  • Keep pace with high-throughput experiments so data sets don't pile up unanalyzed.
  • Maintain research continuity despite constant turnover of graduate students and post-docs. Easily access your students' data at any time.
  • Ensure data integrity and availability by archiving to CDD's safe and secure repository.
  • Easily set-up and manage collaborations with other research groups.
  • Collaborate securely and controllably, without the risks of distributing Excel files that could end up anywhere.
  • Avoid performing redundant research work.
  • Exploit sophisticated cheminformatics and bioinformatics tools without the need for specialized informatics training.
  • Mine your own data together with Public Access data through a single, intuitive interface.
  • Integrate dispersed efforts: test Group A's compounds with Group B's models against Group C's new target.
  • Control your data: keep your data completely private, exchange some data confidentially with colleagues you specify, or share openly with the scientific community; specify which data sets to share, with whom to share them, and when they can be shared.
  • Quickly train new graduate students and post-docs to use the database.
  • No need to purchase and maintain hardware and software, avoid the need to pay an IT specialist to support users, and avoid the need to worry about the security and integrity of your research data.
  • Exploit state-of-the-art database software and support at an affordable price.
  • Protect the commercial value inherent in your research data, so promising approaches can be patented and commercialized, while also selectively sharing with others.
  • View CDD's customers and read their testimonials »
  • Additional benefits by specialty or specific need

    Key benefits for chemists »

    Key benefits for biologists »

    Key benefits for neglected disease researchers »

    I am screening libraries and need a more robust repository for my data than reams of Excel spreadsheets »

    I am in a collaboration and want to see my colleagues' data in real time »

    I already have an in-house database from another vendor, but it's too expensive and too hard to use »

Case #1: Renowned academic biochemistry laboratory

  • Challenge: Generating significant, publishable results was taking too long.
  • Specific Problems: Student and post-doc turnover disrupted data curation and project continuity. Many data sets could not be processed meaningfully because of data format issues. The group needed to assay compounds against quinone-resistant cell lines and compare results with malaria data stored in archaic formats from old Army medical research archives.
  • CDD's database solved these problems: Archiving data into a central repository eliminated the continuity issues. Mining the data through a web-based interface enhanced their value. Collaboration features enabled the challenging comparison.

Case #2: Leading academic medicinal chemistry group

  • Challenge: Backlog of unscreened synthesized compounds just kept growing.
  • Specific Problems: Manual data entry takes too long. Tracking all the compounds was difficult. Associated spectra and biodata are stored in PDF, JPEG, and Excel formats. Existing tools could not support the data work flow that the group needed. Research involves multiple two-way and three-way collaborations between chemist, biologists and computational chemists across separate groups.
  • CDD's database solved these problems: CDD easily customized the flexible database structure to support the group's needs, enabling it to catch up on the back log. The industrial strength software easily handles the thousands of experimental data sets. Collaboration features enable the group and its partners to enter data for current experiments simultaneously and keep them synchronized.

Case #3: Leading academic biology group

  • Challenge: The urgency of the health crisis in the developing world demands faster solutions.
  • Specific Problems: Group is generating data faster than anyone can analyze them, let alone publish. The professor wants to share the data openly with the world and hopes that new collaborative research relationships will emerge. The group needed a way to archive and mine the data and efficiently share data bidirectionally and multilaterally with over twenty other groups spread across the globe.
  • CDD's database solved these problems: The database allows the group to store all of its data in a unified repository, selectively share certain results with specific collaborators, share other results openly with the community, and keep other data private depending on the project and its current status.