Informatics databases
The science of processing data for storage and retrieval is called informatics. The data is collected
and classified which allows or large amounts of complex data to be shared easily.
Science data can be stored in large databases. This can be useful in:
DNA sequences
Healthcare records
Data relating to population surveys(humans/animals/plants)
Fingerprints
It is also useful in these particular fields because a very large amount of data is produced. It is
important that the data can be organised and so easily accessed. It can be made available to a
variety of research organisations that may use the same data in different ways, making the
organisation of the data very important.
All of this data means that computers are an essential part of informatics. They will store
information on records and communication systems.
Informatics are particularly important in healthcare because so much clinical research is carried out
in medicine. Research into disease and drugs is carried out in thousands of laboratories across the
world so masses of data are generated each day. This can mean that there is too much information
to deal with.
Benefits of having large sets of data
This data can be secured and only available for people who need to access them files
They are only available for specific individuals
The data is more detailed and descriptive
When carrying out research, you have access to a larger data set so you can be more certain
about your conclusions.
Doctors will be able to use the experience of other medical professionals if they come across
an illness that they have not seen before, they can treat the patient effectively.
You can use secondary research in order to support or compare them to your own findings.
Negatives of having large data sets
An individual could forget their password for the system. This could cause issues as the
person will not be able to access the needed files
If the communication goes down and the system fails then no-one can access the
information.
Pooling and sharing
Pooling and sharing is the process of sharing data. One of the advantages of this is that it can save
time in an organisation as information can be accessed immediately as time will be saved having to
find different sets of data. It will allow employees to help each other when an individual is stuck as
another staff member can resolve the issue by sharing their information with them to solve their
query. Due to this, this process can benefit everyone in the organisation.
Ethical and bioethical consideration