There’s been a discussion among Indian users on data quality of observations from India. It was suggested to bring it up here so it can be addressed better by the iNat team. Many comments had come in. Indian users, please chip in your thoughts and comments.
Primary issue: It seems that many observations have been misidentified and passed off as RG over the years. This might be in the hundreds(possibly), if not more of the roughly 2,70,000 observations from India.
One issue that seems to add to the case of misidentification is mechanical ‘‘agreeing’’ on observations.
Some questions that came up were on the process of RG to GBIF transfer. How frequently does it happen? What happens to misidentified observations when downgraded/reviewed from RG but have already been pushed to GBIF? Does GBIF get updated based on updated IDs?
It also seems that individuals attempting to curate this data find it overwhelming given the volume and scale of the issue particularly in a cross-taxa context and across India. It seems that this requires an intervention based on a well thought out process.
What can be done about this?