Page 109 - PDI_Report

all portals the field personnel, enter what all data needs to
Grouping of Indicators (Grouped Indicators) be seen in the field and this matrix would provide a full
To make it easier and bring out the correlation between view for drawing data, and standardising repeatedly
indicators on a certain area of work, the indicators within entered data. This could not be done by the Committee
a Theme have been grouped, so that, the actions taken due to inadequate support though this was flagged early as
when taken together on all connected indicators will have necessary to be done. The Report would have given more
greater effect. Also, what will be the outcomes if action is clear numbers if it were done as discussed in the
taken on an indicator can be seen. For e.g.: under Theme Committee Meeting. This comprehensive exercise should
2 Healthy Village, the grouping of 23 indicators has been be done by MoPR and also by the Main Training team for
made into 4 groups - Maternal Health (6), Child Health Ministry of Panchayati Raj and then by the pilot team in
(8), Communicable Diseases (4), and Non- communicable each State, which experience will enable for better
Diseases (4)and GP spending (1). This grouping also understanding of all data in the field, whom to get it from
would help the Health Department look at the trends and and where it is being entered, leading to also data
address the group as a whole and also position its IEC validation to be done by whom all. It was done to some
extent while collecting data.
with the Indicators grouped, thereunder;
For Theme 3, Child Friendly Village, the 4 pillars of Indicators to Data Points
Survival, Development, Protection and Participation have The LIF has 577 indicators. Step 1, the repeat indicators
been used; were identified. Step 2 the Metadata of the unique
indicators was used to identify repeat numerators and
In Theme 8, Good Governance, the 5T framework of
Teamwork, Technology, Timeline, Transparency, and repeat denominators. Unique numerators and
Transformation is used in grouping. denominators were arrived at. Thus, the data points were
identified. The data source of these data points that had
Classification of indicators into sub-groups for all other been already identified in the LIF, seen in earlier field
themes are attached in Annexure-I, Table-11. visit of the Committee and refined down to specific
where, who, how, by Dr. Kalshetti's team, was used, to
Block, District and State level PDI
list the data points to be collected source wise. Rather
Indicators at Block level are calculated using weighted than Theme wise, it is Source wise data collection that is
average with population of the Gram Panchayat as the much easier, avoids repeat visits to the same source, and
weight. The average value of the Indicator for the Block makes it far more efficient.
has been arrived at. Same principle is used for Grouped
Indicator at Block level as well as for Thematic score and There were 14 Data sources identified:
PDI at Block level. The Data entry formats were designed by the Maharashtra
District and State level calculations on similar basis of Team. This was done by Shri Anil Bagate, Gram Sevak,
weighted mean, weighted on population of districts has Wadebolhai GP, Haveli Block, Pune District, a non-
been done. technical person, and Shri Sridhar Kulkarni, Extension
Officer (Agriculture) Sangali District, who understood
Data Availability
field needs and possibilities, and were ready and
The PDI is naturally dependent on the data points for the committed to working on the PoC for PDI. The opening
indicator values. While such information on Themes & screen of the data entry sheets (Prepared by Maharashtra
Indicators will be very useful for the Gram Panchayat, Team) is placed below.
missing is pointed as data availability (Non-availability).
These 14 Sources data entry formats are given in
Committee in its discussions with Ministries found that Annexure-IV-B (https://egramswaraj.gov.in/demo/
data is limited to what is monitored at what level, but also resources/Annexure_B_PoC.pdf). In future development,
found that the embedded LGD code or putting in the LGD these source wise detailed data entry formats, need to be
code, can give large number of data points for drawing made more visually appealing making it easier also. They
directly from the huge volumes of administrative data can also be placed in order of related data points that have
available with Ministries/Departments. Which portals a flow, as will be appearing generally in the Registers
capture which data is an exercise to be completed. Which being maintained (ICDS Registers are standardised across

PDI Committee Report - 2023: Proof of Concept 83