monitoring and evaluation presentation

3. Tajamul Hussain Shah (Team Lead)
PhD. Education (2007)
National University Of Modern Languages.
Chaudhry Waqas Afzal (Monitoring & Evaluation)
MS Development Studies Policy & Technology(2018)
Information Technology University ,Lahore
Bushra Ali (Enumerator/Research Associate South
Punjab )
PhD. Gander Studies(2016)
Punjab University ,Lahore.

4.  Roma Faiz( Enumerator/Research Associate
Western Punjab )
Masters of Education (2008)
University of Education Lahore.
 Ifrah Jamil ( Enumerator/Research Associate North
Punjab )
M.Phil English linguistics (2017)
Fatima Jinnah Women University, Rawalpindi
 Hina Ismat (Enumerator/Research Associate Central
Punjab)

5. CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESENTING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA
Creating Data
Design Research
Plan Data Management(formates,
storage etc)
Plan concent of sharing
Locate Existing data
Collect Data(Observe,Measure,Simulate)
Capture and create matadata
Creating Data is very crucial, since
the quality of data collected will
impact heavily on the output. FAME
ensures the collection of the data
gathered are both defined and
accurate, so that PEELI can makes
decisions based on the findings which
are valid, which provides both the
baseline of measurement, and a target
on what to improve.
DATA HANDELLING

6. CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESENTING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA
Processing Data
Enter data,digitise,transcribe,
translate.
Check,validate,clean data
Anonymise data where necessary
Describe data
Manage and store data
Processing is the manipulation of data
into a form suitable for further
analysis. Raw data cannot be
processed and must be checked for
accuracy.
FAME focuses on constructing a
dataset from one or more data sources
to be used for further exploration and
processing. Analyzing data that has
not been carefully screened for
problems can produce highly
misleading results that are heavily
dependent on the quality of data
prepared.
DATA HANDLING

7. CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESENTING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA
Analysing Data
Interpret Data
Produce Research Outputs
Author Publications
Prepare Data for Preservation
DATA HANDELLING
Verified data is coded or converted into
(SPSS) so that it can be processed for
Presentation. Data entry is done through
the use of a keyboard, digitizer, scanner,
or data entry from with speed and
accuracy.

8. CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESERVING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA Preserving Data
Migrate Data to best formate
Migrate data to suitable medium
Backup and store data
Create mata data and
documentation
Archive data
DATA HANDELLING
Identification of objects is aided by
the use of assigned identifiers. It is
reference of an object or record,
usually manifested as a number or
string of numbers and letters.
FAME does not compromise with
data Integraty as the data collected
is complete and unaltered in all
essential respects.
Preservation of data at FAME is
done at two stages.
1.Digitel preservation of data.
2.Physical preservation of data.

9. CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESENTING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA
Giving Access to Data
Distribute Data
Share Data
Control Access
Promote Data
DATA HANDELLING
It is the stage where processed
information is now transmitted to
the user. Output is presented to users
in various report formats like printed
report, audio, video, or on monitor.
Output need to be interpreted so that
it can provide meaningful
information that will guide future
decisions of the PEELI.

10. CREATING
DATA
PROCESSING
DATA
ANALYSING
DATA
PRESENTING
DATA
GIVING
ACCESS TO
DATA
RE-USING
DATA Re-Using Data
Follow up Research
New Research
Undertaking Research
Reviews
Scruitnising Findings
Teach & Learn
DATA HANDELLING
Storage is the last stage in FAME’s
data processing cycle, where data,
instruction and information are held
for future use. The importance of
this cycle is that it allows quick
access and retrieval of the processed
information, allowing it to be passed
on to the next stage directly, when
needed.

11. Stage 3
Follow ups Communicating Results
Stage 2
Determinig Process Frequency Configuring Parameters
Stage 1
Establishing Priority Areas Identifying Monitoring Rules