Is the data accessible? If it is not, the data may be expensive to acquire.
Is it correct?
Is it reliable? An issue with reliability may where there is a need to judge something. For
example, sometimes smoke is judged on its opacity. But in many cases the judge is a human,
and unless there has been extensive training, one human may judge opacity very differently
from another.
Is it objective?
Is the data timely? If it takes several years to gather the data, it may be considered poor
quality, as things could have changed significantly since the original measurement.
Is the data clear? If the environmental measure is unclear, business owners may make the
wrong decisions.
Is the data secure? Have precautions been taken to prevent tampering with the information.
Is the data consistent?
Is it compact? There may be wonderful daily information that is available (like outside
temperatures from the weather office) but at some point, the data becomes overwhelming,
and no longer useful. This is when we turn to averages and other mathematical models to
shrink the viewable data.
2B ‐ Green Initiatives Self Assessment Action Survey
The attached tool is designed to help assess baseline information and track your
colleagues’ progress in implementing your green initiatives.
In the table below, input your potential or priority green initiatives and ask staff to
indicate their progress towards incorporating them into their daily routine.