Information Management Technology
Information Management Technology
Laboratory informatics has a much broader application area-scientific
research from drug discovery to production.
Information science or "informatics" is the science
of information. It is often studied as a branch of computer science and
information technology and is related to database, ontology and software
engineering.
Informatics is primarily concerned with:
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Creating and structuring data
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Management, storage and retrieval of data
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Distribution and transfer of information
Informatics is about the transformation of information by
computation or communication; by machines or people. It is the intersection of
artificial intelligence, cognitive science, computing science and related
fields. Informatics focuses on understanding business or scientific research
challenges and applying information technology as the solution-tackling the
problem first rather than technology first. It combines software applications,
search technology, database storage and tools for digitally-enabled
collaboration.
Laboratory informatics
Laboratory informatics is the specialized application of
information technology to maximize laboratory operations, particularly in
analytical, production and research and development. Laboratory informatics
encompasses data acquisition, data processing, data analysis and long-term
archiving, electronic laboratory notebooks, laboratory information management,
laboratory automation, scientific data management, document authorship, review
and approval.
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What are common areas of informatics?
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Bioinformatics-Informatics in biology,
especially genomics
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Cheminformatics-Informatics in chemistry and
drug discovery
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Ecoinformatics-Informatics in ecology and
environmental science
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Legal informatics-Informatics in the legal
field
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Library and information science-Informatics in
libraries
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Medical informatics-Informatics in medicine and
healthcare
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Knowledge management-Informatics and knowledge
- Laboratory informatics-Informatics in the laboratory environment
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Is there a difference between bioinformatics, cheminformatics
and laboratory informatics? Bioinformatics and cheminformatics are terms that
describe specific areas of information management.
While bioinformatics refers to the use of computing methods
to create, organize, retrieve and analyze databases of biological information,
such as the nucleic acid sequence data contained within a genomic database.
Cheminformatics focuses on the collection, storage and
analysis of chemical structures and syntheses, pharmacological studies and
combinatorial chemistry to facilitate drug discovery and development.
These areas of informatics are called vertical informatics
domains since they deal just with a subset of applications.
Laboratory informatics has a much broader application area;
it touches all areas of scientific research from drug discovery to production.
Therefore it is called a horizontal domain.
Horizontal informatics solutions
A horizontal informatics solution provides more benefits to
an organization, because it addresses broad-scale issues such as compliance,
data archiving, collaboration and sharing information, and capturing knowledge.
Horizontal applications are generic by nature. Laboratory
informatics solutions can be implemented in a lab, in a department or throughout
an enterprise-as well as in the vertical domains of bioinformatics,
cheminformatics or other scientific environments.
Companies derive the most value from intellectual property
rather than physical assets. To derive the most value from a company's
intellectual assets, knowledge must be shared among a company's strategic
decision-makers, though leaders, scientists, and other research team members,
serving as the foundation for collaboration.
There is no universal definition of knowledge management
(KM). A simple definition: knowledge management is the process through which
organizations generate value from their intellectual and knowledge-based assets.
Generating value from such assets involves sharing them among
employees, departments and even with other companies in an effort to devise best
practices.
But what constitutes intellectual or knowledge-based assets?
There are two categories, explicit (tangible) and tacit (intangible). The
examples of explicit knowledge include patents, raw data, reports, results,
pictures, drawings, publications, and ideas. The explicit knowledge consists of
anything that can be documented, archived, and codified. Tacit knowledge- or
know-how-is contained in people's heads.
The challenge inherent in tacit knowledge is figuring out how
to recognize, generate, share and manage it. Even simply identifying tacit
knowledge is a major hurdle for most organizations.
How can laboratory informatics help to manage knowledge in
labs? Each laboratory has basic needs it must manage such as furniture,
supplies, waters, gas, power and glassware.
Scientists can easily identify these requirements if you ask
them, but what about information? Do they have to sift through numerous paper
archives, databases and applications to find information? Are you they able to
work in a consistent application environment? Are they concerned about the
company's ability to manage data compliance and intellectual property on a
global scale?
All laboratories share a basic need to capture both explicit
and tacit knowledge. And there are solutions available like for instance Waters
offers powerful solutions for capturing and managing both explicit and tacit
knowledge through Waters NuGenesis Scientific Data Management System (SDMS),
eLab Notebook Software.
Extract from "A Guide to Information Management
Technology" of Waters Laboratory Informatics.
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