Consulting assistance | Training and Professional Development

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Consulting Assistance

Data management lifecycles range from knowledge elicitation to sophisticated data analyses, going through secured storage and refined information retrieval. Domains of Life Sciences superimpose their own complexity to data management problems; for example, Knowledge Engineering in Translational Biology is very challenging: scientific knowledge in basic research has to be shaped towards potential new treatments for disease by gathering and aggregating heterogeneous data from many different fields.
These questions have become engrained into integrative approaches, which are the corner stones in Life Sciences Data Management today, and do require cross-disciplinary skills and expert assistance.
The differentiating and innovative options we do offer lie on interoperability and standardization, which are the tools you need to maximize interoperability.

Multi-dimensional interoperability

Interoperability (IOP) concerns the capability of computer systems of working together. Various IOP types have been characterized according to the reference frameworks that were developped to define what has to be standardized (by listing the topics that should be coordinated) and to classify the available standards.

  • Our options: We attach a great deal of importance to the three levels (technical/semantic/organizational) classification by the European Interoperability Framework (EIF) even though we splitted the technical level to distinguish between pure technical aspects and syntactical specificities of the language(s), which are used.
  • Our differentiating approach:We put models as first class entities for designing and developping Information Systems. We place Model-Driven based approaches at the centre (see important points on Model-Driven Engineering (MDE) and Model-Driven Interoperability)

Accordingly, information systems (IS) are analyzed with respect to IOP types to provide recommandations and input to the IS strategic direction and plans.

Domain Standards

Because there are so many standards wathever the business and/or the scientific domain, there is a strong need for prioritizing options to choose the right ones for the task at hand. Unfortunatly, this requires sharp expertise with knowledge and capabilities that may not be readily available internally to your field of interest, not directly related to standardization.

  • Our solutions: we are continuously watching and actively monitoring the development and approval of common standards in the area of Life Sciences. In the maze of Healthcare standards, we bring our attention to all the details of organisations who are developping standards, specially CDISC, SNOMED, DICOM, etc., even if Health Level Seven(HL7) is most widespread over the world.

This active monitoring combined with our longstanding cross-disciplinary expertise, allow us to offer customized solutions for almost all applications. Based on modeling to suit all specific needs and requirements, we tailor integration and implementation scenarios that lead to differentiating and innovative solutions.

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Training and Professional Development

Seminars and Training Courses on Managing Complex Data

Training and professional development are critical parts to increase job efficiency, productivity and, at the same time, to decrease internal costs. It facilitates harmonization between individual skills and company objectives. This is particularly true with regard to the evolving needs of Life Sciences Data management: scientists, biologists, physicians, other healthcare personnel, etc., are more and more involved in data collection and information management; in addition, they must further cooperate with curators, data analysts and so on, to produce new insights leading to future applications.

Good practices for data collectors and data providers are often considered as tedious and time-consuming and difficult to be accepted unless suitable training activities are provided. Seminars, panel discussions and breifings may be held to that end; in addition, these training courses should greatly assist cross-disciplinary teams to find a common language in which to set shared objectives

Who should attend?

Seminars and training courses are designed to help attendees to increase their efficiency with regard to data management in the value creating process.
Scientists and Technicians involved at any stage of the data management process should attend.
Our innovative scheme will train attendees to broaden their knowledge on interoperability and standards issues in Life Sciences and realize the importance of their contribution to the entire process. Through the project, special attention is being given to the management team.

Training schemes

Training schemes provide specific information about program elements.

Main topics

  • Scientific and Technical Watch: objectives and expected results
  • Interoperability: principles and application
  • Reporting Guidelines and Standards in Life Sciences
  • Data and Metadata Modeling: methods and tools
  • Ontologies vs. Controlled Vocabularies: similarities and differences, utilization

Training Packages

Half-day seminar

The basics training is a half-day seminar dedicated to the management team. It allows in a short time to present the domain highlights and the principal needs and references that are capable of reorienting the management.

One-day (7.5 hours) and two-day (15 hours) seminars

These packages are designed for operational staff and support services. Presentation of the topics listed in the training scheme are customized, from the most general to highly technical, in response to participants' interests and needs. In relation to available time, interactive class could be experienced with hands-on exercises.

More...

Other programs can be arranged to target information and services to be provided to the audience