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Standardizing Analytical Data With AnIML

Standardizing Analytical Data With AnIML content piece image

Achieving FAIR (i.e., findable, accessible, interoperable  and reusable) data is a prerequisite for proper data management, data  stewardship and a successful digital transformation strategy. However,  this is usually hampered by the amount and diversity of data formats used.

To address these challenges, organizations are now exploring the use of AnIML —  which is an open XML-based, vendor-neutral and human-readable file format — to store data from different analytical instruments.

Download this listicle to learn more about: 

  • What AnIML is 
  • How it can facilitate the implementation of FAIR data principles
  • Tools to convert proprietary instrument data into the AnIML format