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Validation

Validation in clinical data management - Pinnacle 21
Pinnacle 21 by Certara logo

Ensure clinical data compliance & speed submission readiness

With Pinnacle 21’s clinical data validation software

Provision of accurate, compliant clinical trial data is essential for submission to regulatory agencies like the FDA and PMDA. Without correct data, you risk costly delays – and worst case scenario, a failed submission.   

But with Pinnacle 21 (P21), you can be confident your study data is in the best possible shape – before submission. In-stream clinical data validation and conformance checks highlight issues, so they can be fixed accordingly in real-time. And our dashboards show ‘data fitness’ results pre-submission. So you’ll know when your data is good enough. It’s the same platform used by the FDA and PMDA to review submission quality. So if you’re using Pinnacle 21, you’re literally viewing through the eyes of the regulators!

Clinical Data Validation with Pinnacle 21

Why do clinical data validation in Pinnacle 21?

Easily create data transfer specs

Fix issues upfront

Pinnacle 21’s clinical data validation software identifies errors and non-compliance issues before submission. Easily review datasets against rejection criteria, so you can fix issues in advance. That way, you’ll mitigate the risk of non-conformance, and accelerate the review process for your trial.

Make earlier informed decisions with Pinnacle 21

Fix the issues that matter

Easily monitor submission readiness with our predictive scoring tool. See which issues to fix, and the points you’ll earn for resolving them. For example, out of 100 issues, our tool may advise resolving just two points to raise your score to 85%. So it helps you focus time and effort on fixing the right issues.

Get a regulatory preview

Helpful dashboard insights

As well as data fitness reports, you can track before and after changes between validation runs. With 20+ pre-built reports, you’ll be able to dig deep into your data analytics, identifying any patterns or inconsistencies. Share access with partners and vendors, for easy collaboration!

Ensure quality & compliance with Pinnacle 21

Align with regulators

The platform checks for compliance against CDISC standards, controlled terminology, and even dictionaries such as MedDRA and WHODrug. It also verifies conformance against the specific rules of each regulatory agency, with insights and tips to stay compliant.

Improve compliance with Pinnacle 21

Continuous compliance

Continuous validation in clinical data management means in-study data validation checks – rather than waiting for submission, which can cause delays. Our tool supports SDTM validation rules, ADaM validation rules, Define-XML validation rules, and SEND validation rules. Now you can be confident that deliverables are always compliant and submission-ready!

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Validate your way with Pinnacle 21

Validate your way

You can upload any organizational standards, terminology, and business rules into our clinical trial validator software, to verify CDISC compliance and check for any issues. That way, data can be validated according to your internal setup.

Know you’re always submission-ready with Pinnacle 21 clinical data validation software

Why you’re better off with Pinnacle 21

Mitigate the risk of failure

Without accurate, compliant trial data, a lot of costly rework is needed – which delays drugs getting to market. It could even risk submission failure. With P21, you can have confidence in your data integrity! Validation and conformance checks keep you compliant throughout. And being able to preview data readiness before submission – in the same tool used by regulators – gives reassurance that you’re not risking non-compliance.

Increase chances of approval

Easily monitor data integrity and track progress towards submission readiness with our helpful dashboards and scoring tool. See which issues to fix, and how it impacts your score. It’s the only platform used by the FDA and PMDA to review the quality of submissions. So with P21, you can be confident your data is compliant, and you’ll have the best possible chance of a successful submission!

Speed drugs to market

Being able to identify and fix issues before submission really shortens the review process. In-stream validation and issue resolution provide all the tools to speed submission readiness. So with our clinical data validation software, you’ll have the opportunity to get new drugs approved and launched earlier. Now you can beat the competition and maximize profits by launching earlier!

Easily monitor progress towards submission readiness

Easily monitor progress towards submission readiness
Testimonial of Longcharm

Ease regulatory submission prep

Validation in clinical data management ensures that your data is robust – from the first data cut. Our validator software helps sponsors, CROs, and academia gain the best possible chance of FDA approval.


The platform enables validation of clinical datasets, such as SDTM, ADaM, and SEND, as well as Define.xml files. Easily analyze data and understand errors or inconsistencies, trends, or reasons for faulty data. Plus, collaboration with stakeholders and external partners, such as CROs, is simplified in one central cloud platform.

Pinnacle 21 - Formedix by Certara

Pinnacle 21 とFormedixが提携しました!

Our unified platform will improve collaboration and validation in clinical data management, whilst enabling faster, higher quality trials, from design to submission.

Formedix製品ryzeの詳細はこちら > formedix.com

P21 Enterpriseの詳細はこちら > pinnacle21.com

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Clinical data validation FAQs

What is data validation in clinical data management?

Clinical data validation is the process of verifying clinical trial data, in order to ensure submission of high quality, accurate clinical trial data. Essentially, data validation includes making sure that data is complete, consistent, and accurate.

How do you validate clinical data?

Clinical data validation varies according to different factors, such as the type of data collected, and the regulatory requirements it is subject to. A typical data validation process includes checking data against the rules and criteria defined at the outset. Errors, inconsistencies, or gaps would be identified as part of the validation process, and solutions determined accordingly.

What are clinical data validation rules?

Clinical data validation rules are a set of criteria that the data is required to meet in order to be correct, complete and consistent. Validation rules specify the acceptable values, formats, relationships, and conditions that data must correspond with.

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