Unit 4D – Understand how scientific information may be stored and communicated
in a workplace laboratory
P7 – Explain how scientific information in a workplace laboratory is recorded and
processed to meet the needs of the customer and to ensure traceability
P8 – Explain how useful scientific information is obtained from large data sets and
the potential issues and benefits.
M6 – Analyse the differences in the storage and communications of scientific
information in different workplace laboratories
I hereby confirm that this assignment is solely my own work and that if any text
passages or diagrams from books, papers, the Web or other sources have been copied
or in any other way used, all references – including those found in electronic media –
have been acknowledged and fully cited. 09/06/22
Communication
Communication is defined as the exchange of information by writing, speaking or
some other suitable way.
Types of communication –
Telephone – Two people can call each other from different part of the world –
encryption prevents eavesdropping.
Letters – Formal way of communication – Evidence of communication –
confidential documents can be attached – make take a long time to deliver –
risk of letter being damaged/stolen or lost.
Face to face – Can come across more personal – formal – questions answered
in real time – no record of the conversation – may be an inconvenience to
both parties – have to factor in traveling time and place to meet up.
Communication in a lab –
Manuals
Presentations
Newsletters
Reports
Emails
Phone calls
Flyers
Face-to-face communication
Lab books
Post-its-notes
, How is data in a workplace laboratory produced and recorded?
Scientific data is defined as ‘raw data’ that can come from instruments and sensors
which automatically collect the data, this data is then written down in lab
notebooks/journals which then can be used for analysis and calculations. The data
may also be shared between colleagues or companies, colleagues may use the data
for peer-reviewing, companies may use the data to present to large selects of people
in a scientific organisation, these companies may not share data with outside sources
due to the Data Protection Act 1998 and General Data Protection Regulation 2016.
Scientists may record this data by producing tables to represent the data and graphs
to show the data, there might also be the implementation of symbols, keys and
journals.
How is data processed in a workplace laboratory and how is it transformed into a
useful form for the customer?
Firstly, the experiment is performed and the data from this is collected and written
down on paper, lab workbooks or personal lab journals. Next, the data needs to
polish up and organised, and this gives you time to thoroughly remove any errors
from the raw data. This process will convert the raw data into information with
context and meaning, this means it can be properly analysed and conclusions can be
made. When the data has this context and meaning, it will need to be inputted inside
suitable databases/data management systems such as CRM or LIMS, the data may be
needed to have special coding, depending on which system the company chooses.
Then the data stored in the system will be processed, meaning an artificial
intelligence system will automatically start to generate beliefs based on the data,
diagnosis can be made, and connections can be made from patterns. Then from this,
the data may be shared with non-scientists via graphs and tables, to show analytics,
an example of this is the COVID-19 outbreak, data was collected on the connection
between age and symptoms, this was then shown in tables/graphs to the population.
When the data has been successfully used, it is then stored for later use, this is in
compliant with the Data Protection Act 1998 and GDPR 2016.
Then the customer will receive the processed data in a much simpler form, this could
be in the form of a medical letter on a diagnosis or a report back on how accurate the
results gained were. The customer receives the data without them having to process
it by themselves.
The data may be processed using the methods given above, however the company
may use tags such as an identification number, 586425, to help colleagues find the
data that is stored. A logbook will also be kept outside or inside the record room to
keep log of all persons who has removed any files and will record their names down
when the file has successfully returned. For the volunteers in the lab development
in a workplace laboratory
P7 – Explain how scientific information in a workplace laboratory is recorded and
processed to meet the needs of the customer and to ensure traceability
P8 – Explain how useful scientific information is obtained from large data sets and
the potential issues and benefits.
M6 – Analyse the differences in the storage and communications of scientific
information in different workplace laboratories
I hereby confirm that this assignment is solely my own work and that if any text
passages or diagrams from books, papers, the Web or other sources have been copied
or in any other way used, all references – including those found in electronic media –
have been acknowledged and fully cited. 09/06/22
Communication
Communication is defined as the exchange of information by writing, speaking or
some other suitable way.
Types of communication –
Telephone – Two people can call each other from different part of the world –
encryption prevents eavesdropping.
Letters – Formal way of communication – Evidence of communication –
confidential documents can be attached – make take a long time to deliver –
risk of letter being damaged/stolen or lost.
Face to face – Can come across more personal – formal – questions answered
in real time – no record of the conversation – may be an inconvenience to
both parties – have to factor in traveling time and place to meet up.
Communication in a lab –
Manuals
Presentations
Newsletters
Reports
Emails
Phone calls
Flyers
Face-to-face communication
Lab books
Post-its-notes
, How is data in a workplace laboratory produced and recorded?
Scientific data is defined as ‘raw data’ that can come from instruments and sensors
which automatically collect the data, this data is then written down in lab
notebooks/journals which then can be used for analysis and calculations. The data
may also be shared between colleagues or companies, colleagues may use the data
for peer-reviewing, companies may use the data to present to large selects of people
in a scientific organisation, these companies may not share data with outside sources
due to the Data Protection Act 1998 and General Data Protection Regulation 2016.
Scientists may record this data by producing tables to represent the data and graphs
to show the data, there might also be the implementation of symbols, keys and
journals.
How is data processed in a workplace laboratory and how is it transformed into a
useful form for the customer?
Firstly, the experiment is performed and the data from this is collected and written
down on paper, lab workbooks or personal lab journals. Next, the data needs to
polish up and organised, and this gives you time to thoroughly remove any errors
from the raw data. This process will convert the raw data into information with
context and meaning, this means it can be properly analysed and conclusions can be
made. When the data has this context and meaning, it will need to be inputted inside
suitable databases/data management systems such as CRM or LIMS, the data may be
needed to have special coding, depending on which system the company chooses.
Then the data stored in the system will be processed, meaning an artificial
intelligence system will automatically start to generate beliefs based on the data,
diagnosis can be made, and connections can be made from patterns. Then from this,
the data may be shared with non-scientists via graphs and tables, to show analytics,
an example of this is the COVID-19 outbreak, data was collected on the connection
between age and symptoms, this was then shown in tables/graphs to the population.
When the data has been successfully used, it is then stored for later use, this is in
compliant with the Data Protection Act 1998 and GDPR 2016.
Then the customer will receive the processed data in a much simpler form, this could
be in the form of a medical letter on a diagnosis or a report back on how accurate the
results gained were. The customer receives the data without them having to process
it by themselves.
The data may be processed using the methods given above, however the company
may use tags such as an identification number, 586425, to help colleagues find the
data that is stored. A logbook will also be kept outside or inside the record room to
keep log of all persons who has removed any files and will record their names down
when the file has successfully returned. For the volunteers in the lab development
