Harmonizing, annotating and sharing data in biodiversity-ecosystem functioning research

TitleHarmonizing, annotating and sharing data in biodiversity-ecosystem functioning research
Publication TypeJournal Article
Year of Publication2013
AuthorsNadrowski K., Ratcliffe S., Bönisch G., Bruelheide H., Kattge J., Liu X., Maicher L., Mi X., Prilop M., Seifarth D., Welter K., Windisch S., Wirth C.
JournalMethods in Ecology and Evolution
Pagination201 - 205
Date Published2013///
KeywordsBEF-China, cooperating research groups, Ecoinformatics, Ecological Metadata Language, knowledge management, Ruby on Rails, semantic web, spreadsheets, web applications, Web of Data
TagsEcoinformatics, BEF-China, cooperating research groups, web applications, Ruby on Rails, knowledge management, Ecological Metadata Language, semantic web, spreadsheets, Web of Data

The integrative research field of biodiversity-ecosystem functioning (BEF) requires close collaboration between researchers from different disciplines working on different scales in time, space as well as taxon resolution. Data can describe anything from abiotic ecosystem components, to organisms, parts of organisms, genetic information or element stocks and flows. Researchers prefer the convenience of spreadsheets for data preparation, which can lead to isolated data sets that are diverse in structure and follow diverging naming conventions. BEFdata (https://github.com/befdata/befdata) is a new, open source web platform for the upload, validation and storage of data from a formatted Excel workbook. Metadata can be downloaded in Ecological Metadata Language (EML). BEFdata allows the harmonization of naming conventions by generating category lists from the primary data, which can be reviewed and managed via the Excel workbook or directly on the platform. BEFdata provides a secure environment during ongoing analysis; project members can only access primary data from other researchers after the acceptance of a data request. Due to its generic database schema, BEFdata platforms can be used for any research domain working with tabular data. It supports the compilation of coherent data sets at the level of the primary data, allowing researchers to explicitly model correlation structures across data sets for synthesis. The EML export enables efficient publishing of data in global repositories. © 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society.

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