Ontology highlight
ABSTRACT: Background
Biology, biomedicine and healthcare have become data-driven enterprises, where scientists and clinicians need to generate, access, validate, interpret and integrate different kinds of experimental and patient-related data. Thus, recording and reporting of data in a systematic and unambiguous fashion is crucial to allow aggregation and re-use of data. This paper reviews the benefits of existing biomedical data standards and focuses on key elements to record experiments for therapy development. Specifically, we describe the experiments performed in molecular, cellular, animal and clinical models. We also provide an example set of elements for a therapy tested in a phase I clinical trial.Findings
We introduce the Guidelines for Information About Therapy Experiments
SUBMITTER: Gonzalez-Beltran AN
PROVIDER: S-EPMC3285520 | biostudies-literature | 2012 Jan
REPOSITORIES: biostudies-literature