Missouri Botanical Garden Open Conference Systems, TDWG 2014 ANNUAL CONFERENCE

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Biodiversity Informatics Curriculum Interest Group
Hanna Koivula

Building: Elmia Congress Centre, Jönköping
Room: Rum 10
Date: 2014-10-27 02:00 PM – 03:30 PM
Last modified: 2014-10-16

Abstract


Introduction

With new buzz words like “Open research data”, “Linked Open Data”, “Data sharing”, and “Big data” in science and funding agencies, informatics is becoming a more and more important approach within every field of science. Despite several major data sharing and linking initiatives and facilities for biodiversity data, biodiversity informatics still lacks recognition as an independent methodological discipline. To establish this status, offering a  biodiversity informatics curriculum as part of all levels of scientific education becomes more and more essential.

Rather than training to use different tools, the BI curriculum Interest Group should lay basis for deeper understanding of the key principles of Informatics and offer a forum for exchanging ideas and viewpoints for teaching whatever tools and technologies are available.

Aspects of Biodiversity Informatics curriculum

Target groups:

  • Undergraduate students (learning the topic from the beginning)
  • Post-graduate (part of producing a thesis)
  • Researchers with established career (with no prior experience of data sharing or obtaining re-usable data)
  • University teachers (for including informatics essentials to their teaching)
  • Museum staff (collection management and taxonomical data workflows)
  • People working with digitizing processes (curators planning digitizing or making contracts)
  • ICT professionals working with BI (planning and building information systems and architectures)

Topics to include into each module from target group viewpoint:

  • Producing data (collecting, identifying and digitizing)
  • Citizen science
  • Obtaining and using data from repositories
  • Culprits of re-using data (known biases and their fixes)
  • Data management / best practices
  • Persistent IDs and linking data
  • Using web-services (how to use web services provided by the BDI community)
  • IPR (intellectual property rights), data policies and collaboration
  • Data types and standards (BD and related)
  • Tools and methods for data cleaning
  • Working on e-platforms
  • Data experiments and workflow environments
  • The “new” ways of publishing data
  • Analyses tools (GIS, R, …)
  • Big data and NoSQL, semantic technologies and Linked Open Data
  • Architecture models and  frameworks (big facilities for data sharing and archival)
  • Long-term archives

How to get organized / interest groups functions

A round table discussion will decide best strategies for fulfilling the tasks, deliverables, and technical platforms for collaboration. Participants at this meeting will decide who will facilitate the activities and polish this abstract to be the official charter establishing a TDWG Interest Group.