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Schigel_ForBio25apr2016
- 1. Dmitry Schigel University of Helsinki Species, habitats and skills: teaching boreal biodiversity and data across borders
- 2. Outline • What I do in GBIF and in the University of Helsinki • Why bother teaching • Education networks: managing time and money • Teaching experiences 2013-2015 • Teaching plans & invitations 2016
- 5. GBIF BY THE NUMBERS 652,948,064 species occurrence records 15,882 datasets 804 data-publishing institutions • http://www.gbif.org | 01 APR 2016
- 6. Dmitry Schigel: 2012-2015 Academy of Finland Colonization gates and establishment of wood-decaying fungi in European Spruce X = 2014 -> GBIF
- 7. Approaches and outlook: e.g. Population Biology in Fragmented Landscapes, Biodiversity in Dead Wood Skills: Sample preps for NGS, Microscopy, Bioinformatics, Databases Facts: Species diversity & identification, morphology
- 8. University of Helsinki Finland Moscow State University Russia Swedish University of Agricultural Sciences 2016: Nordic – Russian Boreal Biodiversity and Data Education Network
- 9. Education and outreach • Polypores of the Białowieża forest Oct 2013 • Biodiversity in dead wood, Helsinki Nov 2013 • Next-gen seq sample prep course, Uppsala Jun 2014 • Biodiversity informatics and data management Jul 2014 • Polypore course, Russia Aug 2014 • Polypore course, Finland: ForBio Sep 2014 • Dead wood meeting, Lammi: SIU May 2015 * * * • Dead wood meeting & course Lammi Aug 2016 • Polypores as tools in forest conservation Lammi Sep 2016 • Biodiversity data skills Tartu Nov 2016
- 10. Courses 2013
- 11. Amaze & inform
- 12. Teaching materials are publications that matter
- 14. Biodiversity in Dead Wood 2013 course • An introductory course for graduate and advanced undergraduate students, 1 week • Cover various aspects of the habitat, organism groups and ecological processes connected with dead wood • Guest experts on dead wood provide deeper coverage of research field • Present dead wood research 1. 15 h lectures (5 days x 3 h), learning diaries = 2 ECTS 2. optional 5 h journal club, essays = 2 ECTS 3. optional book exam = 3 ECTS 7 ECTS =
- 17. Kilpisjärvi • Subarctic ecology and biogeography • Accomodation for 66 • Lecture and meeting rooms • Vans and boats • Lake-side sauna University of Helsinki www.helsinki.fi/kilpis ForBio: Data management course 2014
- 19. Data management course Specimens Observations Names Bibliography ImagesDNA Directives Maps Projects People
- 20. published record (existence approved by scientific community, a bibliographic reference in peer-reviewed paper exists) collected (at least one reliably identified specimen in a clearly designated private or public collection) recorded, not collected (e.g.with the identifiable photo, video, sound recording) ?Anax imperator observed
- 23. Education and outreach • Polypores of the Białowieża forest Oct 2013 • Biodiversity in dead wood, Helsinki Nov 2013 • Next-gen seq sample prep course, Uppsala Jun 2014 • Biodiversity informatics and data management Jul 2014 • Polypore course, Russia Aug 2014 • Polypore course, Finland: ForBio Sep 2014 • Dead wood meeting, Lammi: SIU May 2015 * * * • Dead wood meeting & course Lammi Aug 2016 • Polypores as tools in forest conservation Lammi Sep 2016 • Biodiversity data skills Tartu Nov 2016
- 24. Polypores as tools in forest conservation: species ID course • Teachers: O. Miettinen, O. Manninen, T. Niemelä • Target group: MSc students, biology / forestry Time: 19-23 September 2016 • Place: Lammi biological station, Finland • Quota: ~ 15 people • Test: identification exam • Reading in advance required: Wikipedia page, kelo tree paper, Finnish, Swedish and Russian indicator species guides. 2016
- 25. Biodiversity data management and open data: data skills course • Teachers: U. Kõljalg, K. Abarenkov, H. Koivula, (D. Schigel) • Target group: MSc students, biology • Time: 1-5 November 2016 • Place: Tartu, Estonia • Quota: ~ 15 people LUCY (2014) 2016
- 26. http://blogs.helsinki.fi/deadwoodmeeting registration until 20 May, may close earlier 2016
- 27. Lammi • Forests and lakes • 120 km from Helsinki • Accomodation for 100 • Large and small rooms and labs • One e-mail booking • Lake-side sauna University of Helsinki www.helsinki.fi/lammi ForBio: Dead Wood Course 2016, Polypores as tools
- 28. Thank you!
Notes de l'éditeur
- New email address Traits Citizen science
- New network name
- Other events include species identification and sample preparetion skills, data management skills and finally, dead wood symposium
- 2013 course
- Note! Mere undocumented observtions are temporary subcases of Not Finnish until some evidence is provided. Observed, not recorded (= line in a note book or undocumented record in Hatikka) are waiting approval before some proof is provided. This, e.g. means that Hatikka observations of a species with at least one record or collection are all valid observation of a Finnish species (subject to identification accuracy). In the most simple system, we need to decide if a certain species belongs to Finnish biota or not. We need to have a set of criteria that allows any species in any checklist to be called Finnish or not. This is a draft of tagging guidelines for LUOMUS teams to manage the existing (uploaded and online) cheklists and to prepare the new checklists, preferably using the template provided by the ICT team (link). The non-scientific division of species into Finnish and non-Finnish is, however essential for smooth functioning of the e-systems of LUOMUS, for separating national and external collections, for conservation-related issues and many other preactical reason.
- Screenshots from 2015 Group photo, programme Archive slides!
- Dead wood meeting 2015 Gallery photos
- Other events include species identification and sample preparetion skills, data management skills and finally, dead wood symposium
- Polypores as indicators 2016 Images from Finnish wiki Image of Lammi station
- Summary: Hands on course from data collection to the data management and publishing data as Open Data. Students will learn how to: 1) collect taxon occurrence or sample based data; 2) handle their data by keeping standards and quality aspects in mind (creating personal data management plans) 3) create integrated databases for the different data types (observations, specimens, sampling areas, samples, DNA sequences, traits, interactions, references); 4) manage and share datasets; 5) publish datasets with DataCite (DOIs), in GBIF, or in online journals (Pensoft). DS: From SIU application, what was promised, and on what I will need to report to SIU: Young researchers in natural sciences are educated to collect, analyze, publish and disseminate the scientific information, but handling and managing data is often overlooked aspect of researcher's life. There has been little to no university teaching of this important set of skills in the Nordic - Russian region. The key principles of biodiversity data management and the most important tools will be covered by the course given by the leading experts in this growing field.
- POSter Almost a society, beetles, fungi, Almost have a journal Almost have a website and social media groups Almost have a conferences Almost have a study programme.
- Logos –Tartu uni, Kilpis,