The Good Enough Data System

I was describing good future data practices to a panel considering ocean science needs for 2030, and was asked a good question after the talk: What are the qualities of a 'good' data system?

Hopefully our Guides on MMI give some ideas about that question, but the Guides are really focused on metadata. And they don't put it all in a neat summary.

So here are my proposals for what makes a good data system, with suitable weasel words for the wide array of projects that need data systems.

On Versions


Without having extensively surveyed the literature, these are some thoughts I've put together (as part of my OOI Cyberinfrastructure job) on what it means to talk about a data product version. Your comments are appreciated.

In this document, I call a Version a form of relationship in which one thing is the same as another in some conceptual sense, but has differences as the result of other attributes not being the same. To be specific:

Summer Internships with DataONE available

DataONE invites applications for summer research internships for undergraduates, graduate students and postgraduate (MS, PhD) students. As part of a larger virtual organization, interns will work in virtual groups of 2-3 with multiple mentors from DataONE, and are not expected to be at the same location or institution as the mentors and other team members.  Regular communication (including videoconference) with mentors and other team members will

Periodic Table of Visualization Methods

Periodic TableFor those of you seeing this on the front page of MMI: I'm using this post to call attention to MMI blogs. If you're a member you can blog about metadata things on MMI. Ask us if you need help!

This Periodic Table of Visualization Methods is either not at all about metadata, or all about it. It sure is all about interoperability! The table has a remarkable amount of depth, even after you have discovered that mousing over an entry brings up an example of the corresponding visualization.

The Intersection of Humans and the Web


Ever wonder where we're headed, with all this new technology, and ever-more-complex development?  Check out "From linking to thinking: How we'll live when information surrounds us"

Nice example of data provenance

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SSDSDataProvenanceBrowsing.jpg65.71 KB

MBARI has done something I consider impressive in the scientific data management realm, and I want to toot their horn a little, so a blog entry seemed good for that. (Disclosure: I was hired in part to start up the project discussed below, and have gotten to claim part of its success despite contributing relatively little to it technically over the years.)

West Coast Coastal Atlas Workshop

ICAN Icon On April 23 to 24, 2009, a West Coast Coastal Atlas Workshop was hosted by the Washington State Department of Ecology and the NOAA Coastal Services Center at the NOAA Western Regional Center in Seattle, Washington, USA. The workshop brought together, for the very first time, over 30 participants from Alaska, British Columbia, Washington, Oregon and California to discuss coastal atlas interoperability issues.

Is This Title Data, or Metadata?

OK, it's time to put the data/metadataData about data. Metadata provides a context for research findings, ideally in a machine-readable format. It enables discovery of data via an electronic interface, and correct use and attribution of findings. Related Guide question to bed, once and for all.  You know the one:

Do we call that data, or metadata?

Automatic Configuration for Running Models in the Cloud

I was really pleased to discover that the newsletter "International Science Grid This Week (iSGTW) referenced SCOOP in the lead article. But running one model in a distributed environment is only one step of a tall ladder. We don't have a world repository of grids and algorithms that we could assemble painlessly. For example, we should be able to ask for a numerical model that produces synthetic winds, storm surge or currents.

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