This lesson is in the early stages of development (Alpha version)

Day One Group Assignment Part Two


Teaching: 20 min
Exercises: 55 min
  • How to find any kind of species interaction dataset?

  • How to make it easier to review of interaction datasets?

  • How facilitate interaction data access?

  • Articulate challenges of sharing, reviewing, and reuse interaction datasets

  • Discover alternate ways to share, review, and reuse interaction data

Earlier, we’ve had a close look at individual interaction descriptions. Also, we collaborated to review existing species interaction datasets.

Now, we’ll look into ways to help facilitate ways to share, find, and analyze, species interaction datasets.

The main focus of these exercises is , but note that other projects like Mangal, Web of Life, Interaction Web Database Data also aim to make species interaction data easier to find and reuse.

In the 75 minutes afternoon session, we’ll quickly go over some available workshop sections.

Then, rather than trying to do all of them in this afternoon, we can vote on which one to do first, then time permitting we can repeat the exercise for the remaining parts.

If you’d like, the sections will be available after the workshop for independent work.

The following sections are available (slightly adapted from a previous workshop by Katja Seltmann and Jorrit Poelen in context of the project.

Exercise 1. Vote on our afternoon schedule

Let’s vote and what we’d like to do as a group in the rest of the afternoon.

  1. Go to the collaborative meeting notes section selecting afternoon schedule

  2. Vote by adding +1’s to the items you’d like to do as a group

  3. We’ll do as many episodes as we can until 16:30

  4. We’ll continue to take notes collaboratively, to ask questions, share insights.

Please feel free to revisit the episodes we covered, and ask engage in discussion with fellow participants or meeting organizers.

Also, episodes that we did not get to will be available for your to explore.

What’s Next?

Please see schedule for our next collaborative activity.

Key Points

  • Automated taxonomic name linking facilitates discovery, review, and interpretation, of interaction records

  • Keeping track of data provenance/origins can be tricky

  • Specialized search indexes like GloBI can help facilitate data discovery

  • Automated linking and index processes are likely imperfect and subjective