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Group Photo

The international BeeXML Standardization Workshop took place December 16 - 17 2019 in Munich.

On the agenda for the first day was a technical session to define the specifics of the standard as well as the procedure for expanding the scope of BeeXML. The second day was focused on steps to encourage the adoption of the standard.

The workshop was hosted by Arno Bruder, Beekeeping Advisor of the District of Upper Bavaria and chaired by Joseph Cazier, Ph.D Director of the Center for Analytics Research and Education Appalachian State University in conjunction with Walter Haefeker, President of the European Professional Beekeepers Association (EPBA).

Minutes were taken by Max Rünzel, Associate Research Fellow at the Center of Analytics Research and Education, Appalachian State University.

Additional Participants:

  • Dr Agnès Rortais, Scientific Officer, Scientific Committee and Emerging Risks Unit, Risk Assessment and Scientific Assistance Department, European Food Safety Authority, Parma, Italy
  • Giuseppe Antonio Triacchini, Evidence Management Unit, European Food Safety Authority, Parma, Italy
  • Edgar E. Hassler III, Ph.D. Assistant Professor Computer Information Systems & Supply Chain Management Walker College of Business.
  • Awad Hassan, Ph.D, Associate Reserach Fellow, Center for Analtyics Research and Educat, Appalachian State University
  • Noa Delso, BeeLife, Brussels, Belgium
  • Mag. dr. Michael Rubinigg, Scientific Staff, Biene Österreich
  • Gregor Sušanj, beeHub Project, CEO, Software Engineer, ZIP Solutions, Maribor, Slovenia
  • Janis Kronbergs - Latvian Beekeeper association council member and member of Nordic-Baltic Beekeepers council (NBBC)
  • Magdalena Sperl - SAMS Smart Apiculture Management Services
  • Konstanza Jochim - SAMS Smart Apiculture Management Services
  • Marten Schoonman, www.beep.nl open source observation + automatic monitoring platform
  • Alexis Gkantiragas - Molecular Biology student at University College London, BeeLab
  • Peter He - Department of Computing. Imperial College London, BeeLab
  • Gerard Glowacki - BeeLab (Unsupervised machine learning algorithm applied to pollen analysis)

Apimondia 2019

Minutes of the BeeXML Stadardizatcion meeting held during the Apimondia Conference in Montreal Canada:

http://beexml.org/wp-content/uploads/2019/12/BeeXML-Standardization-meeting-10-September-2019-Montreal-Minutes.pdf

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Governmental institutions, academic research projects as well as breeding programs of beekeeping associations inevitable gather data about bees and beekeepers. Unfortunately these databases become data islands and the information is of limited value for the beekeeping community as a whole.

beeXML is intended to be the answer to this problem.

The project is not about creating a central database. Rather, XML is a self-describing data format that can allow the exchange of data.

In order to create an XML standard, it is necessary to agree on what data is collected on a particular topic. The self-describing structure makes the exchange much more flexible than it would be with rigid table definitions.

In addition, there are countless development environments for ready-made software libraries to read and write XML.

Once we have a standard for a particular subject matter, the existing databases can be provided with XML interfaces.

This in turn would later allow a meta database, where it will be possible to query all connected databases via a common interface.

First, our task is to take an inventory as many existing databases as possible ( see Other Projects and Databases). Then ask the operators of the databases for their table definitions. This will allow use to generalize the similarities to an XML standard.

There are different data domains:

  • colonies / beekeepers / operations / hive tracking systems
  • biodiversity of bees and breeding lines - (for FAO DAD-IS database as well as the Apimondia license)
  • bee diseases / pathogens / strains / treatments
  • environmental data / contaminants and residues bee products
  • modeling data as well as calibration data (MUST-B)
  • data on authenticity of bee products (NMR method etc.)
  • market data for bee products (prices, trade flows)

Stay tuned and contact us to contribute.

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