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AboutAbstractDedicationContact

Opening up the research data life cycle

Abstract

More and more aspects of the research data life cycle involve some form of sharing - be it the protocols used to generate the data, the software to analyze it, metadata about the data, the data itself or other aspects of its life cycle, from ethical review to citizen science. This talk zooms in on some examples in different stages of different data life cycles and explores how the changing dynamics of data sharing interact with the dynamics of doing research more generally.

The research data life cycle

  • can be framed in many ways
  • key components: plan get permissions get funding get infrastructure collect metadata collect data process data analyze data publish curate data preserve data reuse metadata find data access data reuse data reproduce data delete data
  • exact arrangement can and does vary
  • frequent 'rinse and repeat'

What does it mean to open it up?

  • no single publishing step within the cycle, since every intermediate step is an opportunity to share
  • video

Some of my activities in this space

How to discover research that is being performed now or planned for the near future?

What does this mean for BEXIS?

Dedication

I dedicate this talk to the memory of my grandfather Werner Mietchen, whose funeral is taking place the day after.

Contact

About

This page ( https://github.com/Daniel-Mietchen/events/blob/master/3rd-BEXIS-2-User-and-Developer-Conference.md ) hosts a presentation that was given on 15 June 2017 at 7am UTC. It is a contribution to the 3rd BEXIS 2 User and Developer Conference taking place on 16 June 2017 in Jena, with an associated reproducibility workshop on June 15 in conjunction with Data Science Day 2017. BEXIS (also BExIS) stands for "Biodiversity Exploratories Information System" and is a research environment for managing the entire data life cycle for biodiversity data.

Some impressions from the event are available here.