Data You Can Trust—When Decisions Matter

In BSI’s home energy rating system, we understand that builders rely on quality data to make timely, defensible decisions.

Not more data.

Better data.

That’s why our system is designed around data quality, consistency, and traceability—not volume or convenience.

Built on Professional Quality Science

BSI applies a formal data quality scoring methodology (Procedure F) published by the American Society for Quality (ASQ)—the global authority on quality management since 1946 and an ANSI partner for quality standards.

This approach treats home energy rating data the way high-reliability industries do: as an asset that must be measured, validated, and governed, not assumed to be correct.

It’s one of the ways our professional home energy rating system differs structurally from legacy models.

Here are the 17 data quality metrics.

1. Reliability: the completeness, relevance, accuracy, uniqueness, and consistency of the dataset for the intended purposes of use, and the ability to trace the data to a trustworthy source.
   • BSI client data reliability score is “Sufficiently Reliable”.
2. Timeliness: the degree to which the period between the time of creation of the real value and the time the dataset is available is appropriate.
   • 2022 ERI:
     • BSI’s certification review timeliness score is 4 days, 18 hours, 6 minutes (submission to certification)
     • BSI client timeliness score is 20 days, 9 hours, 15 minutes (last inspection to submission)
   • 2022 ENERGY STAR®️ v3.1:
     • BSI’s certification review timeliness score is 4 days, 13 hours, 2 minutes (submission to certification)
     • BSI client timeliness score is 22 days, 20 hours, 16 minutes (last inspection to submission)
   • 2023 ERI:
     • BSI’s certification review timeliness score is 6 days, 14 hours, 56 minutes (submission to certification)
     • BSI client timeliness score is 43 days, 5 hours, 6 minutes (last inspection to submission)
   • 2023 ENERGY STAR®️ v3.1:
     • BSI’s certification review timeliness score is 7 days, 7 hours, 2 minutes (submission to certification)
     • BSI client timeliness score is 50 days, 23 hours, 7 minutes (last inspection to submission)
   • 2024 ERI:
     • BSI’s certification review timeliness score is 5 days, 10 hours, 43 minutes (submission to certification)
     • BSI client timeliness score is 28 days, 2 hours, 38 minutes (last inspection to submission)
   • 2024 ENERGY STAR®️ v3.1:
     • BSI’s certification review timeliness score is 5 days, 22 hours, 14 minutes (submission to certification)
     • BSI client timeliness score is 26 days, 10 hours, 24 minutes (last inspection to submission)
   • 2025 ERI:
     • BSI’s certification review timeliness score is 1 day, 22 hours, 34 minutes (submission to certification)
     • BSI client timeliness score is 89 days, 10 hours, 26 minutes (last inspection to submission)
   • 2025 ENERGY STAR®️ v3.1:
     • BSI’s certification review timeliness score is 1 day, 21 hours, 36 minutes (submission to certification)
     • BSI client timeliness score is 90 days, 9 hours, 43 minutes (last inspection to submission)
   • 2025 ENERGY STAR®️ v3.2:
     • BSI’s certification review timeliness score is 2 days, 14 hours, 25 minutes (submission to certification)
     • BSI client timeliness score is 83 days, 22 hours, 5 minutes (last inspection to submission)
3. Validity: the extent to which data is present, in the correct format, within the accepted range, of the correct lookup type.
   • Certification Validity, 100%
4. Compliance/Conformance: the degree to which data and composition of datasets is in accordance with laws, regulations, or standards.
5. Accuracy: the degree of correspondence between data values to real values.
6. Completeness: the extent to which data is not missing and is of sufficient breadth and depth for the task at hand; all required data values are present, all required records in the dataset are present, all required attributes in the dataset are present, all required data files are present, metadata are fully described.
   • BSI client record completeness score on submission: 99.8% (99.8% of the required data fields were complete)
   • BSI client file completeness score on submission: 71.7% (71.7% of the files submitted were complete)
7. Consistency: the degree to which data values of two sets of attributes within a record, within a data file, between data files, within a record at different points in time comply with a rule; the degree to which data values of two sets of attributes between records comply with a rule; the degree to which data values between two sets of attributes between datasets comply with a rule; the degree to which data values of a set of attributes of a dataset at different points in time comply with a rule.
8. Integrity: the extent to which data is Attributable, Legible, Contemporaneously recorded, Original or true copy, Accurate, with high levels of Completeness & Consistency.
9. Data Pedigree: the data pedigree is based on the following data pedigree criteria (DPC): Does the data represent what it purports to represent? Was the data produced through a consistent & defined process? Did we get samples from that process? Is there a record of who created the data? Is there a record of when it was created? Are there controls over who has access to the data? Has the data been modified or deleted? Do we have access to the original?
   • BSI client data pedigree score is 100%
10. Objectivity: the extent to which data values are created in unbiased, unprejudiced, and impartial manner.
    • BSI client data objectivity score is 95.9%
11. Uniqueness: the degree to which there are no duplicate records for the same entity or event in the same dataset.
    • BSI client data uniqueness score is 100%
12. Credibility: the degree to which data values are regarded as true and believable by data consumers.
13. Trustworthiness: the extent to which the data originate from trustworthy sources.
14. Believability: the extent to which data is regarded as true and credible.
15. Reputation: the extent to which data is highly regarded in terms of its source or content.
16. Accessibility: the ease with which data can be consulted or retrieved.
17. Ease of Operation: the extent to which data is easy to manipulate and apply to different tasks.

Consistency by Design

Builders need results they can rely on.

That’s why BSI uses a single calculation engine for Energy Rating Index outcomes: EnergyPlus OS-ERI, developed by the U.S. Department of Energy and maintained by the National Laboratory of the Rockies.

Using one nationally maintained engine removes interpretive variance at the calculation level—so identical inputs produce identical results.

As Neil Kruis, former NREL engineer and RESNET® Energy Modeling Director, has stated publicly:

“Someone with three rating software tools is never sure what the HERS® index is.”

Software inconsistency has been a known challenge in the industry for years.

We chose not to manage around it—we chose to remove it.

Verified, Not Assumed

BSI and HouseRater™ have implemented more than 400 automated validation and reasonability checks, combining advanced analytics with human review to ensure data integrity.

Every ERI score produced through our system is:

• validated against OS-ERI output,
• supported by complete documentation,
• and traceable through standardized workflows.

The result is data with a clear pedigree—data that can be trusted.

We publish our data quality scores publicly.

Not selectively.

Not when it’s convenient.

Consistently.

Good, bad, or somewhere in between.

Why?

Because transparency is how credibility is maintained—not claimed.

This is one of the ways BSI brings professional quality management practices into residential energy rating systems.

BSI is not designed for everyone.

We work with organizations that value:

• consistency over explanation,
• documentation over discretion,
• and professional accountability over shortcuts.

Our application process reflects that selectivity—not as a barrier, but as a safeguard for the integrity of the system and the clients who rely on it.

We invest deeply in the organizations we work with.

That only works when expectations are aligned.

If you’re looking for:

• consistent results,
• defensible documentation,
• and a system built on recognized quality standards,

we invite you to explore whether BSI is a fit.

Apply to work with us.

PLEASE NOTE: Any use of “RESNET®” or other registered trademarks by Building Science Institute, Ltd. Co. does not indicate ownership, sponsorship, or endorsement by the registered trademark owners. Any use of registered trademarks falls under informational, editorial, or comparative use.