I started a postdoc about a year ago. At the time of my hire I was told another postdoc was preparing the large dataset I would eventually use. In the meantime, I was to run some sample models and develop a method on some small test data.
Ten months later when I finally received the data, it was a mess of a spreadsheet (extremely long column names, no column names, typos, no documentation) and I also began finding errors in it immediately. For example some merged in values had been multiplied by 2 or 2.5 or 2.25. Nobody could explain what happened so I spent nearly 2 months redoing those values.
It gets worse. I started checking the other columns and realized some "no data" indicators had been averaged with measured values. This produced large negative values which should have been a red flag for that data. There were other similar sloppy errors in the data. I've tried to be extremely polite with the other postdoc but I'm not getting a lot of help from this person.
I've spent nearly 3 months cleaning up the mess and I continue to find problems. My budget is nearly up (I have about 3 months left) and I'm being asked to start writing and prepare a draft in the next three months. I worry there are more problems with the data that I'm not seeing because the person who prepared it did not have high attention to detail. It was also prepared by hand in Excel and not well documented or not documented at all. I don't want to put my name on something that uses data that is potentially full of errors, especially since I'm early in my career. I've voiced these concerns somewhat indirectly to my main supervisor and he is nothing but reassuring and even defensive of the data. Another colleague, not the one in charge of the project, agrees with me.
What should I do?