This is the common abbreviation for what is known in the scientific community as a lab information management system. A LIMS might also be called a lab information system, or a lab management system, abbreviated as LIS and LMS respectively. Although there are some differences between these, they are all basically the same thing.
These information systems are types of software that are used in all modern laboratories around the world. In order to manage all of the data and information that these sophisticated and complex facilities go through on a daily basis, these systems play a crucial role. The job of software like this is to support all of the many different operations that the lab undergoes, making higher levels of research not only possible but also much easier.
Workflow is a big task that these programs are expected to take care of. There is also an incredible amount of data that goes into them which is used in a number of different ways. Depending on the type of lab, there are many other tasks that software like this might be used for.
Management systems have been around in many different forms over the years, but as science has become more advanced, so too have these systems. In the beginning, they were just used to track samples and not much else. Nowadays, the systems are used as highly advanced programs that can put huge amounts of data together at speeds people of yesteryear could only dream of.
It is necessary to get to know any given laboratory and the workers there to know what they really mean when they refer to a laboratory information management system. This is often dependent on what kind of studies they are doing in their labs. Knowing this is a big help in understanding why they think of these systems in the way that they do.
While many scientists like to make clear the distinctions between the various type of specialty management systems, they are all basically there for the same reasons. Some, however, do have special tools that help them deal with particular areas of research to help the lab. These can include anything from commercial, research, forensic, and clinical analyses.
Scientific studies have been growing more advanced ever since they were first performed, and so the software that researchers use to record their data has become more advanced with the studies themselves. This is necessary for the systems' functions to be able to keep up with the researchers' needs, and so that they can bring together the core pillars of science. As their uses have grown, the different kinds of software have become more similar in nature.
When things had to be entered manually in a lab, there were many things that could go wrong. A single error in the transcription of data could be disastrous. This is why having things automatically recorded removes the potential for a huge amount of errors to be made.
These information systems are types of software that are used in all modern laboratories around the world. In order to manage all of the data and information that these sophisticated and complex facilities go through on a daily basis, these systems play a crucial role. The job of software like this is to support all of the many different operations that the lab undergoes, making higher levels of research not only possible but also much easier.
Workflow is a big task that these programs are expected to take care of. There is also an incredible amount of data that goes into them which is used in a number of different ways. Depending on the type of lab, there are many other tasks that software like this might be used for.
Management systems have been around in many different forms over the years, but as science has become more advanced, so too have these systems. In the beginning, they were just used to track samples and not much else. Nowadays, the systems are used as highly advanced programs that can put huge amounts of data together at speeds people of yesteryear could only dream of.
It is necessary to get to know any given laboratory and the workers there to know what they really mean when they refer to a laboratory information management system. This is often dependent on what kind of studies they are doing in their labs. Knowing this is a big help in understanding why they think of these systems in the way that they do.
While many scientists like to make clear the distinctions between the various type of specialty management systems, they are all basically there for the same reasons. Some, however, do have special tools that help them deal with particular areas of research to help the lab. These can include anything from commercial, research, forensic, and clinical analyses.
Scientific studies have been growing more advanced ever since they were first performed, and so the software that researchers use to record their data has become more advanced with the studies themselves. This is necessary for the systems' functions to be able to keep up with the researchers' needs, and so that they can bring together the core pillars of science. As their uses have grown, the different kinds of software have become more similar in nature.
When things had to be entered manually in a lab, there were many things that could go wrong. A single error in the transcription of data could be disastrous. This is why having things automatically recorded removes the potential for a huge amount of errors to be made.
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