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Distinction - BTEC Applied Science Unit 4 LA D Learning aim D: Understand how scientific information may be stored and communicated in a workplace laboratory.$13.85
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Unit 4 - Laboratory Techniques and their Application
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Distinction - BTEC Applied Science Unit 4 LA D Learning aim D: Understand how scientific information may be stored and communicated in a workplace laboratory.
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Unit 4 - Laboratory Techniques and their Application
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PEARSON (PEARSON)
Learning aim D: Understand how scientific information may be stored and
communicated in a workplace laboratory.
Unit 4 - Laboratory Techniques and their Application
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Unit 4 LA D name
In this report, I will assess the issues in storing and communicating the range of data documented
and processed within the laboratory, comparing the systems in the development laboratory to
those in the company's manufacturing department, as a laboratory technician working in the
development department of a pharmaceutical company that develops and manufactures new
drugs.
In a laboratory, data management is critical. Data that is inadequately gathered and saved might
be lost prior examination, documented erroneously, prevent work from being validated, and even
obstruct research and procedures that rely on the data. Users can use good record keeping to
trace down problems or refine an experiment. Records can be used to monitor a laboratory or
verify the authenticity of the information. There are a number of ways to acquire and record data
while using a laboratory balance (Equipment, 2019).
How scientific information is collected from large data sets:
Quantitative research techniques (the collection and analysis of numerical data) are used to obtain
valuable information (e.g., height, distance, weight, numbers, graphs, spreadsheets and tables). It
may be used to look at trends and standards, predict outcomes, examine causal linkages, and
extrapolate results to larger groups. And to comprehend concepts, views, or experiences,
qualitative research entails gathering and analysing non-numerical data (e.g., video recordings,
photographs, documents, audio recordings and descriptions). Interviews and surveys filled up by
participants complete and submit are examples of two methods of scientific data collection. Large
data sets of scientific data may provide a wealth of information on the general public's health and
well-being, as well as speed up drug development. Nevertheless, due to response bias, a generic
term describing a wide variety of inclinations for participants to reply erroneously or falsely to
questions, employing surveys may cause social desirability concerns. When scientists deal with
huge data sets, they need to control as many extraneous factors as possible to avoid researcher
bias during interviews. P7
Benefits and the issues involved in sharing scientific information:
One of the big benefits is collaboration. Data sharing enables academics to interact and
collaborate more, which can lead to significant new discoveries in the area. Data sharing is more
efficient in a period of limited monetary investment in science and research since it allows
researchers to share resources. Efficient information sharing is a critical component of scientific
research teams' ongoing innovation and long-term progress. This study might lay a solid
foundation for a better understanding of the interaction mechanism of information concealing
behaviour and how it affects knowledge sharing. Pooling may increase transparency by allowing
researchers to better understand the outcomes of individual clinical trials, including what happened
to the participants, and it can also help researchers uncover new things that were not discovered in
the individual studies. But sharing scientific information also has its negatives. The danger that the
original writers will not be able to fully harness the value of the data they gathered, probable
failures in patient privacy protection, technological impediments such as the absence of standard
formats, and data misinterpretation are all expected drawbacks (Sardanelli et al., 2018).
To suit the demands of the client and to assure traceability, scientific data is
captured and processed in the following ways:
Data must be managed and preserved correctly in laboratories. Laboratories commonly use a data
management system that allows them to keep track of many sorts of scientific data and update it
on a regular basis. It is possible to record and regulate everything in a proper manner by having
1
, Unit 4 LA D name
several layers of information storage. To minimise any confusion or even potential harm, the chief
technician would be responsible for ensuring that everyone else followed the procedures put in
place.
P7
How the data is collected and the type of data that is collected:
● Laboratory Information Management System (LIMS):
It is a software that helps increase lab efficiency by allowing users to manage samples, test results,
and related data (Autoscribe Informatics, 2022). A LIMS aids in the standardisation of workflows, testing, and
procedures while also providing reliable process controls (Autoscribe Informatics, 2022). Instruments can be
integrated into the LIMS to automate the collection of test data while also ensuring that they are
properly calibrated and only operated by trained personnel (Autoscribe Informatics, 2022). It also serves as a
single store for all of that data, making it more accessible and allowing data and outcomes to be
transferred to other systems (Equipment, 2019). LIMS may connect to a variety of devices, including lab
balances, and some can even plan analyses, monitor instruments, transmit data, and more
(Equipment, 2019). LIMS can monitor not only sample information, but also who processed which
samples, when, when, and how, as well as what occurred to the sample during the process
(Equipment, 2019).
P7
Figure 01: How LIMS collects data
Figure 1 demonstrates the data collection process used by LIMS. LIMS is a software programme
that organises lab data, generates management reports, and issues certificates of analysis. Then,
before collecting 'best practise' to allow GLP, it offers a robust structure for managing the lab,
standardising operations, and obtaining reproducible findings.
● Printers for weighing scales & balances:
Not every lab has access to a LIMS, and some choose to print data rather than save it online.
Because technology might fail, some laboratories choose to save printed results as a backup. It
might be challenging to record data in the field with digital technology. Data that is delicate in
nature cannot always be delivered by email (Equipment, 2019). Depending on the lab, paper records may
be simpler to annotate, copy, and disseminate. The results can also be printed to use as labels for
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