Essential Annotation Schema for Ecology (EASE)-A framework supporting the efficient data annotation and faceted navigation in ecology

• Published in: PloS one Vol. 12; no. 10; p. e0186170
• Main Authors: Pfaff, Claas-Thido, Eichenberg, David, Liebergesell, Mario, König-Ries, Birgitta, Wirth, Christian
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 12.10.2017; Public Library of Science (PLoS)
• Subjects: Analysis; Annotations; Biodiversity; Biology and Life Sciences; Carbon; Classification; Computer and Information Sciences; Consolidation; Data Curation - methods; Data processing; Earth Sciences; Ecology; Ecology and Environmental Sciences; Full text; Information retrieval; Internet; Meta-analysis; Metadata; Navigation; Research and Analysis Methods; Retrieval performance measures; Reuse; Search methods; Studies; Tagging; Textbooks; Vocabulary, Controlled
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0186170

Ecology has become a data intensive science over the last decades which often relies on the reuse of data in cross-experimental analyses. However, finding data which qualifies for the reuse in a specific context can be challenging. It requires good quality metadata and annotations as well as efficient search strategies. To date, full text search (often on the metadata only) is the most widely used search strategy although it is known to be inaccurate. Faceted navigation is providing a filter mechanism which is based on fine granular metadata, categorizing search objects along numeric and categorical parameters relevant for their discovery. Selecting from these parameters during a full text search creates a system of filters which allows to refine and improve the results towards more relevance. We developed a framework for the efficient annotation and faceted navigation in ecology. It consists of an XML schema for storing the annotation of search objects and is accompanied by a vocabulary focused on ecology to support the annotation process. The framework consolidates ideas which originate from widely accepted metadata standards, textbooks, scientific literature, and vocabularies as well as from expert knowledge contributed by researchers from ecology and adjacent disciplines.