Ai.Study is designed to enable researchers to design their experiments, plan the experiments setting times and frequencies of procedures, schedule the related work and then execute the study by capturing the experimental results – all in one, online, secure database system.
Studies can be drafted as part of the protocol review and approval process, giving Ethics Committee / IACUC members the opportunity to review the study design in advance of approving the Protocol.
As the preclinical research sector moves towards improved standards for reproducibility and rigour in experimental design, Ai.Study enables your organisation to quickly, painlessly and cost effectively adopt and implement emerging best practices being expounded by leading funding groups, such as the NIH, EMA and NHMRC; industry publisher, such as Nature, Cell and PLOS; as well as leading industry researchers and commentators.
Once created, approved and activated, experimental results are captured and associated to specific animals, and the reference information about that animal is available to the researcher when analysing results.
Supporting the expectations of leading funding and publishing groups, as well as the ARRIVE Guidelines, studies provide a complete audit trail of methods and results, which can be shared both on and offline.
Results data can be shared online by providing online, read only access to your specific study or offline via exported CSV files.
Studies enables researchers to control who can view the study information and who can update the results data in the system. This enables you to outsource experiments and data collection to external groups, such as CROs, and yet remain in control of the conduct of the study with full, real time oversight of the data collection process, methods and quality.
Studies can be drafted and made available for review online to peers and Ethics / IACUC members. Studies must be associated with an approved Protocol and cannot be activated and ready to use until the associated Protocol is approved.
More information on Protocols can be found in our Using Protocols in your Ai.Study help section.