Unit 4: Laboratory Techniques and their Application
Assignment D: Understand how scientific information may be
stored and communicated in a workplace laboratory.
When scientific information is obtained from large data sets it
makes it easy to draw new conclusions, recognise patterns and
predict future trends. One of the biggest opportunities when
obtaining data from large data sets is the possibility of reusing
existing data for new studies, this means that time and
resources can be saved. The collection, processing and
preservation of data is a huge investment of resources, so by
reusing existing data it can ensure that resources are saved. By
adding to the findings of previous research, there can be a
dramatic acceleration of work, this means a lot of time is saved
which helps dramatically in research projects as it makes the
work more efficient and therefore more productive (RDS, 2020).
If the data is well described and the data access method is
quite flexible, the user can establish correlations between data
items, therefore leading to propitious discoveries.
However, there are several challenges associated with using
large data sets for clinical research, this includes issues
surrounding access and information security; it may also lead
to poor data quality and the inconsistency of data within and
across organisations (ncbi,2015).
It is important that records of all work that is carried out is kept
in an organisation. Organisations have their own policies on
how these records are kept. In recent times most records are
kept on a computer, although in some cases, for example,
laboratory notes may still be hand-written records, which are
more often transferred to computer systems in order to keep
them secure and safe. Usually, research papers are stored in
PDF or word format; it is important to store any scientific data
Assignment D: Understand how scientific information may be
stored and communicated in a workplace laboratory.
When scientific information is obtained from large data sets it
makes it easy to draw new conclusions, recognise patterns and
predict future trends. One of the biggest opportunities when
obtaining data from large data sets is the possibility of reusing
existing data for new studies, this means that time and
resources can be saved. The collection, processing and
preservation of data is a huge investment of resources, so by
reusing existing data it can ensure that resources are saved. By
adding to the findings of previous research, there can be a
dramatic acceleration of work, this means a lot of time is saved
which helps dramatically in research projects as it makes the
work more efficient and therefore more productive (RDS, 2020).
If the data is well described and the data access method is
quite flexible, the user can establish correlations between data
items, therefore leading to propitious discoveries.
However, there are several challenges associated with using
large data sets for clinical research, this includes issues
surrounding access and information security; it may also lead
to poor data quality and the inconsistency of data within and
across organisations (ncbi,2015).
It is important that records of all work that is carried out is kept
in an organisation. Organisations have their own policies on
how these records are kept. In recent times most records are
kept on a computer, although in some cases, for example,
laboratory notes may still be hand-written records, which are
more often transferred to computer systems in order to keep
them secure and safe. Usually, research papers are stored in
PDF or word format; it is important to store any scientific data
