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Understanding Conserv's Preservation Metrics

Our preservation metrics turn complex data into easy to understand numbers — Here's how it works.

Our Seven Preservation Metrics

Conserv has developed seven metrics to help guide you on your journey to better environmental monitoring for your collection

  1. % of Time in Range
  2. % of Time under Fluctuation
  3. Conserv Score
  4. Mold Risk Score
  5. Relative Damage Score
  6. Lux Hours
  7. Pest Occurence Index (POI)

These metrics are outlined in detail below and each has its own separate article that really gets into the weeds.

💡 Conserv cloud is a free, cloud-based environmental monitoring tool. To get started fill out our quick survey.


Why Preservation Metrics

Squiggly lines on a graph aren't very useful, but that's exactly what most environmental monitoring software gives you.

💻 Here's a screenshot of the analytics in the popular HOBOware software.

HOBOware Analytics

Preservation metrics go beyond squiggly lines and help you answer the important question, "How are we doing relative to our goals?"


Start With Collection Goals

Conserv is oriented around your environmental goals for your unique collection.

Our "environmental levels" features allow you to set range and fluctuation goals for temperature, relative humidity, and light levels.


💡 Range is your target high, low, and average. As an example, you might aim for the temperature to be in a range between 65 and 75°F with an average reading of 70°F.

💡 Fluctuation is your target variation over a 24-hour period. As an example, you might aim for the temperature to not fluctuate more than 5°F during a day.


If you're not sure where to start on setting levels for your collection, someone from the Conserv team is happy to help.

Preservation Metrics

Finally, we get to the preservation metrics! Each of these metrics has its own article if you want to dig in deeper.

💻 Here's a screenshot of Conserv analytics with  key performance indicator (KPI) preservation metrics on the right.Screenshot 2020-10-09 at 12.50.59 PM - Edited


% of Time in Range, % of Time under Fluctuation

We figure out the % of readings that are within your levels for temperature, relative humidity, and light levels.

With this information, you can easily say "We were within our temperature range 60% of the time last month, and 72% of the time this month. We're making progress."

📖 Read more in-depth about the range and fluctuation KPIs here

Conserv Score

The Conserv Score combines temperature and relative humidity fluctuation numbers into a score from A (best) to E (worst).

The Conserv score is loosely based on scoring guidance developed by the Canadian Conservation Institute.

Please note that the Conserv Score was originally intended to help customers with less environmental monitoring experience and is currently preset to take 50% and 70°F as a ballpark goal to determine appropriateness for a collection.

A low Conserv Score does not necessarily mean your space is "wrong" or "bad" as your setpoints should take into account your own building and your geographical location.

📖 Read more in-depth about the Conserv Score here.

Mold Risk Score

The mold risk score used in Conserv Cloud is based on IPI metrics and recognizes the temperature and relative humidity conditions that may encourage mold growth.

The score ranges from No Risk to High Risk.  Sensors in spaces with indications of mold risk and collections in those spaces should be visually inspected for mold growth.

📖 Read more in depth about mold risk KPIs here

Relative Damage KPI

Note: This KPI has been replaced by IPI's Time-Weighted Preservation Index in order to give Conserv Cloud users an industry standard they can use to compare across locations and institutions using other platforms.

The Conserv relative damage score suggested how fast your collection is deteriorating compared to the estimated deterioration rate in your target environment.

A score of 1.15 meant damage was occurring 15% faster than would be expected under optimal conditions; a score of 0.50 means damage was occurring 50% slower than expected.

Credit for this approach goes to Tim Padfield.

📖 Read more about why we changed the Relative Damage KPI to the TWPI

📖 Read more about the TWPI

Lux Hours

For starters, we've included the total dose of light exposure in lux hours in the Preservation KPI dashboard. Lux hours are determined by multiplying the amount of light exposure (in lux units) by the length of time of the exposure (in hours). For example, 50 lux for 10 hours and 100 lux for 5 hours result in the same dose of light exposure (500 lux hours).  Reach out if there are other important calculations that you need for your collection.

Read more in-depth about how Conserv calculates cumulative light exposure

Pest Occurrence Index (POI)

The pest occurrence index is a research product from Jane Henderson and Christian Baars. The metric takes into account factors that may skew pest count data, like the number of pest monitors and space size, to normalize pest counts.

Baars, Christian and Henderson, Jane 2020. Novel ways of communicating museum pest monitoring data: practical implementation. Presented at: Integrated Pest Management (IPM) for Cultural Heritage, Stockholm, Sweden, 21–23 May 2019.

What's next?

With preservation metrics you can get your team aligned on "how are we doing relative to our goals?"

The primary purpose of good metrics is not just to answer questions; Good metrics also help your organization ask better questions to address the root cause of problems.


Get Started with Conserv

Reach out to us to get started with our free software or wireless data loggers. Join a growing group of museums, libraries, and archives that expect more.