Data Management

/in /by

Data Management (Semester 1 2020 Bentley Campus – INT[1]) Rubrics Edit Rubric Edit Mode is: •ON
Source 2019_1_ISYS5007_V1_L1_A1_INT_677612 | Destination 2020_1_ISYS5007_V1_L1_A1_INT_690177 is complete. To access the detailed log, clickhere X
Edit Rubric

Report on Data Management Plan (S1/2019)
The Rubric Grid lists Criteria (rows) for measuring Levels of Achievement (columns)
* Indicates a required field.
RUBRIC INFORMATION
* Name
Description
RUBRIC DETAIL
Add Row Add Column Rubric Type: Percentage Range Show Criteria Weight
Levels of Achievement
Click Submit to proceed.

Character count 0
?
Staff Organisations Brian von Konsky 20
Quick Links

Below Below Expectations (Fail) Meets Expectations (Pass) Meets Expectations (Credit) Exceeds Expectations
(Distinction)
Exceeds Expectations (High
Distinction)
Approach
Weight
25.00 %
Per cent 0.00 to 49.00
The approach to address
the scenario is missing or
insufficient.
Per cent 50.00 to 59.00
The approach
demonstrates an
understanding of data
management issues but is
not specific to the given
scenario.
Per cent 60.00 to 69.00
The approach is likely to
address the given
scenario.
Per cent 70.00 to 79.00
The approach includes
novel insights that were not
included in the description
of the original scenario.
Per cent 80.00 to 100.00
The approach to the data
management scenario is o
a high professional
standard.
Data Volume,
Velocity,
Veracity
Weight
20.00 %
Per cent 0.00 to 49.00
No significant demonstration
of data volume, velocity, or
veracity issues in the given
scenario.
Per cent 50.00 to 59.00
Data volume, velocity, and
veracity issues are
mentioned but not in the
context of the given
scenario.
Per cent 60.00 to 69.00
Data volume, velocity, and
veracity issues are
discussed in the context of
the given scenario.
Per cent 70.00 to 79.00
Data volume, velocity, and
veracity is measured,
simulated, or estimated
and used in the context of
the data management plan.
Per cent 80.00 to 100.00
The treatment of data
volume, velocity, and
veracity exceeds
expectations and is of a
high professional standard
Data lifecycle:
acquisition,
cleaning,
integration,
storage,
publishing,
retirement
Weight
20.00 %
Per cent 0.00 to 49.00
No significant
demonstration of data
lifecycle issues.
Per cent 50.00 to 59.00
Data lifecycle issues are
discussed in general but
not in the context of the
given scenario.
Per cent 60.00 to 69.00
Data lifecycle issues are
discussed in the context of
the given scenario.
Per cent 70.00 to 79.00
Data lifecycle issues are
thoroughly addressed for
the given scenario as part
of a comprehensive data
management plan.
Per cent 80.00 to 100.00
The management of
lifecycle issues is of a high
professional standard.
Data quality,
security,
privacy
considerations
Weight
20.00 %
Per cent 0.00 to 49.00
No significant consideration
of data quality, security, or
privacy considerations.
Per cent 50.00 to 59.00
Data quality, security and
privacy considerations are
discussed in general but not
in the context of the given
scenario.
Per cent 60.00 to 69.00
Data quality, security, and
privacy are discussed in the
context of the given
scenario.
Per cent 70.00 to 79.00
Data quality, security, and
privacy are thoroughly
addressed for the given
scenario as part of a
comprehensive data
management plan.
Per cent 80.00 to 100.00
The management of data
quality, security, and
privacy issues is of a high
high professional standard
Criteria
 
Looking for a similar assignment? Our writers will offer you original work free from plagiarism. We follow the assignment instructions to the letter and always deliver on time. Be assured of a quality paper that will raise your grade. Order now and Get a 15% Discount! Use Coupon Code "Newclient"