The myth of perfect metadata matching

Metadata matching is complex and cannot be 100% accurate due to varied and messy input data. The challenges include dealing with different formats and incomplete information, making perfect matching unrealistic. Adjusting strategies to address specific errors can reduce overall performance. Striking a balance between precision and recall is crucial, accepting some imperfection as part of the process. Despite imperfections, automated large-scale matching can be beneficial. Proper strategies and error-checking mechanisms can minimize negative effects while improving metadata. Accurately assessing matching results is challenging but possible with scientific tools.