Dossier services
The cheapest money in any registration project, and the analysis that determines everything spent afterwards.
What is a data gap analysis?
A data gap analysis compares the data you already hold against the requirements applicable to your registration route, and identifies precisely what must still be generated. It establishes which existing studies are usable, which overseas data transfers to India, and what the remaining programme will cost and how long it will take.
Why it comes first
Registration budgets are dominated by data generation. Studies are expensive, several run for months or years, and some cannot be compressed at all because they depend on crop seasons. Committing to that programme without first establishing what is genuinely required is how projects overspend.
Two errors are common, and they pull in opposite directions:
- Generating data you already had. Companies frequently hold usable studies — generated for another market, for a sister product, or by a supplier — that they had written off without assessing.
- Assuming overseas data transfers wholesale. Chemistry and toxicology often travel. Bio-efficacy and residue generally do not, because Indian pest pressure, crop practice and climate differ.
What the analysis covers
| Area | Question answered |
|---|---|
| Route determination | Is Section 9(4) available, or does this require 9(3) or 9(3B)? |
| Chemistry | Does existing five-batch, specification and analytical method work meet requirements? |
| Equivalence | Does the intended source match the reference profile? |
| Toxicology | Which existing studies are acceptable, and what remains? |
| Bio-efficacy | What trials are needed for the intended claim, over how many seasons and zones? |
| Residue | Does existing data support the proposed waiting period? |
| Stability and packaging | Does data support the shelf life you need commercially? |
| Study acceptability | Was existing data generated at facilities whose output will be accepted? |
The acceptability question
This is where the analysis earns its cost. A study that exists is not the same as a study that will be accepted. Data generated at a facility that does not meet the expected standard, or to a protocol that does not match the requirement, has to be repeated — and discovering that at the query stage costs a study cycle plus the delay.
We assess existing reports against the standard that will actually be applied, not against the fact of their existence. Clients occasionally find this uncomfortable. It is considerably less uncomfortable than finding out eighteen months later.
What you get
- The registration route that applies, with reasoning
- An inventory of data held, marked usable, usable with supplementation, or not usable
- The gap list — studies still required, with the reason each is needed
- Sequencing, so studies that gate others run first and the trial calendar is respected
- An indicative timeline built around the critical path, which is almost always the field trial calendar
- A basis on which the remaining programme can be costed honestly
Sequencing is the underrated output
Knowing what studies you need matters less than knowing what order to run them in. Two principles apply:
Resolve cheap questions that could kill the project before funding expensive ones. If source equivalence is doubtful, establish that before commissioning toxicology. If the bio-efficacy case is uncertain, know it before the long-term studies are placed.
Respect the calendar. Field trials happen when the season allows. A programme that misses a sowing window loses a year regardless of how much is spent elsewhere. Working backwards from the season, rather than forwards from the start date, routinely saves more time than any other decision.
How JDR delivers it
We run data gap analysis as a discrete engagement with a written output, not as an informal part of a sales conversation. It is deliberately the first thing we do, because we would rather tell a client their project is a two-year programme at the outset than discover it together later.
Frequently Asked Questions
Can I skip the gap analysis if I know what data I have?
You can, but the value is not in listing what you hold — it is in assessing whether it will be accepted and in what order the remaining work should run. Those are the judgements that determine cost and timeline.
Will my overseas dossier transfer to India?
Partly. Chemistry and toxicology often support an Indian application. Bio-efficacy and residue generally need generating in India across the relevant agro-climatic zones, because pest pressure, crop practice and climate differ.
How long does a gap analysis take?
Typically a few weeks, depending on the volume of existing data and how quickly it can be assembled. It is short relative to the programme it plans.
Does it give me a cost estimate?
It gives the basis for one. Once the gap list and sequencing are settled, the remaining studies can be scoped and priced. A figure offered before that point is not a real estimate.
What if the analysis shows the project is not viable?
Then you have learned it for the cost of an analysis rather than the cost of a study programme. That is a good outcome, even though it does not feel like one.
Reviewed: 22 September 2026 · Reflects the Insecticides Act, 1968 and Insecticides Rules, 1971 as amended, including the Insecticides Third (Amendment) Rules, 2026 (G.S.R. 597(E) dated 8 July 2026). General guidance only — confirm current requirements before acting.
Before you commission a single study
Tell us the molecule, the intended claim and what data you hold. We will tell you what is actually required.
Talk to Our Regulatory Team