PESI - a Taxonomic Backbone for Europe

Background: Reliable taxonomy underpins communication in all of biology, not least nature conservation and sustainable use of ecosystem resources. The flexibility of taxonomic interpretations, however, presents a serious challenge for end-users of taxonomic concepts. Users need standardised and continuously harmonised taxonomic reference systems, as well as high-quality and complete taxonomic data sets, but these are generally lacking for non-specialists. The solution is in dynamic, expertly curated web-based taxonomic tools. The Pan-European Species-directories Infrastructure (PESI) worked to solve this key issue by providing a taxonomic e-infrastructure for Europe. It strengthened the relevant social (expertise) and information (standards, data and technical) capacities of five major community networks on taxonomic indexing in Europe, which is essential for proper biodiversity assessment and monitoring activities. The key objectives of PESI were: 1) standardisation in taxonomic reference systems, 2) enhancement of the quality and completeness of taxonomic data sets and 3) creation of integrated access to taxonomic information.

New Information: This paper describes the results of PESI and its future prospects, including the involvement in major European biodiversity informatics initiatives and programs.

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References

Costello M, Bouchet P, Boxshall G, Fauchald K, Gordon D, Hoeksema B . Global coordination and standardisation in marine biodiversity through the World Register of Marine Species (WoRMS) and related databases. PLoS One. 2013; 8(1):e51629. PMC: 3541386. DOI: 10.1371/journal.pone.0051629. View

Mathew C, Guntsch A, Obst M, Vicario S, Haines R, Williams A . A semi-automated workflow for biodiversity data retrieval, cleaning, and quality control. Biodivers Data J. 2014; (2):e4221. PMC: 4267104. DOI: 10.3897/BDJ.2.e4221. View

Costello M, Michener W, Gahegan M, Zhang Z, Bourne P . Biodiversity data should be published, cited, and peer reviewed. Trends Ecol Evol. 2013; 28(8):454-61. DOI: 10.1016/j.tree.2013.05.002. View

Hagedorn G, Mietchen D, Morris R, Agosti D, Penev L, Berendsohn W . Creative Commons licenses and the non-commercial condition: Implications for the re-use of biodiversity information. Zookeys. 2011; (150):127-49. PMC: 3234435. DOI: 10.3897/zookeys.150.2189. View

Hardisty A . Horizon 2020: A call to forge biodiversity links. Nature. 2013; 502(7470):171. DOI: 10.1038/502171d. View

Patterson D, Cooper J, Kirk P, Pyle R, Remsen D . Names are key to the big new biology. Trends Ecol Evol. 2010; 25(12):686-91. DOI: 10.1016/j.tree.2010.09.004. View

Smith V, Georgiev T, Stoev P, Biserkov J, Miller J, Livermore L . Beyond dead trees: integrating the scientific process in the Biodiversity Data Journal. Biodivers Data J. 2014; (1):e995. PMC: 3964700. DOI: 10.3897/BDJ.1.e995. View

Chavan V, Penev L . The data paper: a mechanism to incentivize data publishing in biodiversity science. BMC Bioinformatics. 2012; 12 Suppl 15:S2. PMC: 3287445. DOI: 10.1186/1471-2105-12-S15-S2. View

de Jong Y, Verbeek M, Michelsen V, Bjorn P, Los W, Steeman F . Fauna Europaea - all European animal species on the web. Biodivers Data J. 2014; (2):e4034. PMC: 4206781. DOI: 10.3897/BDJ.2.e4034. View

10.

Pereira H, Ferrier S, Walters M, Geller G, Jongman R, Scholes R . Ecology. Essential biodiversity variables. Science. 2013; 339(6117):277-8. DOI: 10.1126/science.1229931. View

11.

Penev L, Agosti D, Georgiev T, Catapano T, Miller J, Blagoderov V . Semantic tagging of and semantic enhancements to systematics papers: ZooKeys working examples. Zookeys. 2011; (50):1-16. PMC: 3088020. DOI: 10.3897/zookeys.50.538. View

12.

Berendsohn W, Guntsch A . OpenUp! Creating a cross-domain pipeline for natural history data. Zookeys. 2012; (209):47-54. PMC: 3406465. DOI: 10.3897/zookeys.209.3179. View

13.

Piwowar H, Vision T . Data reuse and the open data citation advantage. PeerJ. 2013; 1:e175. PMC: 3792178. DOI: 10.7717/peerj.175. View