DiConza Research Integrity

Protect Your Data Integrity. Preserve Your Reputation.

At DRI, we help universities and research institutions ensure their grant money supports real, reproducible science — not manipulated data or accidental errors.

Why DRI?

In a "publish or perish" world, the pressure to produce results can lead to data manipulation, mistakes, and costly retractions.

At DRI, we believe in a human-first approach to data review — no AI shortcuts, just expert statisticians applying proven techniques to protect your institution from research misconduct, whether intentional or accidental.

Our work supports scientific integrity by reviewing data before papers are published, thereby maintaining reputations and ensuring funding is well-spent.

What We Do

Data Integrity Review

We apply up to nine advanced statistical tests to detect falsified or fabricated datasets — before they are made public. This is our core service and is included in every standard engagement.
Error Screening

From equipment failures to typos, our team flags basic anomalies that could undermine your credibility — and your research.
Statistical Validation

We verify the application and interpretation of all statistical methods used in your paper. When appropriate, we recommend additional tests to strengthen your findings. (Premium Service)
Data Visualization Audit

We review and refine all visual representations of your data to ensure clarity, accuracy, and optimal impact. (Premium Service)

How It Works

Step 1: Initial Consultation
We meet with you to understand your goals, timelines, and the scope of the dataset under review.

Step 2: Data and Statistical Review
Our team conducts a thorough review of your data and all related statistical methods — catching red flags early.

Step 3: Reporting and Recommendations
You'll receive a detailed report with findings, recommendations, and a clear path to publication readiness.

The DRI Difference

Unlike traditional consulting firms, we don't rely on AI to make judgment calls about your research. Everything is reviewed by expert statisticians with experience in academic publishing and fraud detection. Simply knowing the work is being checked can be enough to deter misconduct — protecting your institution before problems arise.

Talk to a Statistician

Frequently Asked Questions

Every project includes our Data Authenticity Review and Error Check services.
We typically complete most projects within 1–2 weeks, depending on their scope and complexity.
Because we utilize human experts, rather than automated tools, we can distinguish between manipulations and legitimate transformations. We use context and judgment — not rigid algorithms.