AnIML - The Analytical Information Markup Language

AnIML is a standardized data format that allows for storing and sharing of experiment data. It is suitable for a wide range of analytical measurement techniques. Using AnIML, you can accurately record and document laboratory workflows and results, no matter which instruments or measurement techniques were used.

To achieve this, AnIML provides a generic data container – the AnIML Core – that permits the storage of arbitrary analytical data. This includes

  • sample information,
  • method information,
  • measurement results,
  • instruments and software used,

as well as workflow information that ties experiments and samples together. The concept of Technique Definitions permits the formal specification of constraints for using this data container. Such a definition can prescribe how the data for specific measurement techniques should be captured in an AnIML document. This way, AnIML can be applied to many different analytical techniques. It grows gracefully as new techniques are developed, allowing continued use of existing software components.

AnIML is based on XML. This has two interesting consequences. First, many tools for XML manipulation are readily available off-the-shelf, making implementation easier. Second, as XML is a text-based format, AnIML documents are human-readable – an important aspect for long-term storage.

While AnIML has its roots in analytical chemistry, efforts have been made to make the standard applicable to many other scientific domains. AnIML is being developed by the ASTM E13.15 subcommittee on analytical data which consists of volunteers from industrial, academic, government and vendor communities.

BSSN Software has developed a comprehensive offering of products and services to help laboratories introduce AnIML into their processes. In addition, we support instrument manufacturers in implementing AnIML in their products.

Due to its constructive involvement and technical leadership in the AnIML development process, BSSN Software is uniquely positioned to deliver AnIML-related solutions very efficiently.