Frequently Asked Questions

If you cannot share a dataset, you can enter your explanation into the ‘Please enter any comments here’ box and leave the dataset name and DOI fields empty.

Our algorithm is based on machine learning and is still in development, so it’s going to make mistakes. You can just click the red garbage can/rubbish bin to delete that dataset.

As above, DataSeer’s algorithm is based on machine learning and is still in development, so it’s going to make mistakes. Click on the missed data sentence to highlight it, scroll down the dataset list on the right and click the ‘Add New Dataset’ button. 

You can delete the second and third datasets by clicking the red garbage can. You can then link the second and third sentences to the first by highlighting each one and clicking the blue chain link

To help us keep track of everything, DataSeer numbers the data sentences as it finds them in the article text, and preserves that numbering through the annotation process. Data sentences are not re-numbered when one is deleted, and new datasets are added at the end of the list. The dataset numbering can therefore be a bit muddled at the end of the annotation process, but it’s not something to worry about.

We believe that open data means that all of the data associated with an article should be available, and that includes apparently trivial datasets. We recognise that traditions in some fields mean that certain datasets are routinely discarded or not shared. In these cases, you can enter an explanation into the ‘Please enter any comments here’ box and leave the dataset name and DOI fields empty.

Each article uploaded to DataSeer gets a unique ID in our system, so uploading the same article twice will lead to two separate entries. To find articles you’ve uploaded and annotated in the past, check the ‘My Documents’ page.