The course will cover aspects of the entire data life cycle. Best
practices will be introduced including metadata content, data cleaning,
database design, management of large data volumes and quality control.
Best choices of technologies for various tasks will be discussed and
supplemented with hands on exercises in using workflow engines,
spreadsheets vs. databases, various data streaming device setups and web
publishing technologies. Using existing standards for metadata,
taxonomic information, attributes and units will be demonstrated and
different community standards as well as implications of a standardized
approach will be discussed. Ecologists will leave this workshop with a
solid understanding of metadata, the tools to create them, and data
catalogs for registering and publishing them along with their data and
how to prepare their data for long term preservation. They will have a
good overview of existing technologies and know which technology is best
suited for which tasks and have practiced using new approaches to data
manipulation and analysis. This knowledge will enable them to enhance
their research by efficiently finding and evaluating online data
resources. They will be able to publish their own, important, value
added datasets and get credit for their work. Learning about and
practicing the use of workflow technology can make their data processing
more efficient while the generated documentation will become part of
the metadata accompanying a publishable data set. Especially the
overview of current sensor technologies is expected to have a major
impact on how research may be conducted without the need to buy into
expensive and proprietary commercial systems.

A second workshop was held in 2012