Data entry
Data integration
Data analysis
Focus on: risk assessment, ontology, regulation, safety assessment, drugs, chemicals, CLP, REACH
Chemical data
The chemical industry is one of the largest manufacturing sectors. The collection of data on chemicals is of pivotal importance for the R&D, the coordination between policies and the enactment of new national and international regulations. Different area of chemistry such as pharmaceuticals, detergents, commodity chemicals, fertilizers, agricultural chemicals, flavors and food ingredients are involved in massive data collection
We provide professional service for the management and organization of physicochemical, toxicological and biological data in structured format
Focus on: systematic search, scientific appraisal, marketing search, prior art search, crtitical assessment, scientific summary
Scientific literature and patent data
The retrieval of scientific data from the literature is of great importance to achieve different goals including the collection of marketing information and those required for regulatory purposes. Considering the unceasing increase in the number and pace of published documents, the collection, collation and summing-up of key information is nowadays a more and more challenging and time-consuming task
We specialize in the retrieval, organization and the summing-up of scientific data from literature to provide focused answer to specific questions
Focus on: drug discoververy, drug repurposing, molecular design, omics, computational techniques, data mining, data analysis
Biological, pharmacological and omics data
The progress in the study of biological systems and the advent of high-throughput techniques have generated large data sets that are increasingy difficult to manage including, biological, bioactivity, pharmacological and omics data. Nevertheless, these data sets constitute a valuable source of knowledge and one of the major challenge nowadays is to extract, report and organize these data in structured formats
We specialize in the retrieval of unstructured data and report them in structured databases so as they can be used to generate new knowledge with data mining and data analysis techniques