UC3
DataCite Metadata Schema update
This spring, work is underway on a new version of the DataCite metadata schema. DataCite is a worldwide consortium founded in 2009 dedicated to “helping you find, access, and reuse data.” The principle mechanism for doing so is the registration of digital object identifiers (DOIs) via the member organizations. To make sure dataset citations are […]
QSE3, IGERT, OA and DCXL
A few months back I received an invite to visit the University of Florida in sunny Gainesville. The invite was from organizers of an annual symposium for the Quantitative Spatial Ecology, Evolution and Environment (QSE3) Integrative Graduate Education and Research Traineeship (IGERT) program. Phew! That was a lot of typing for the first two acronyms in my blog […]
EZID: now even easier to manage identifiers
EZID, the easy long-term identifier service, just got a new look. EZID lets you create and maintain ARKs and DataCite Digital Object Identifiers (DOIs), and now it’s even easier to use: One stop for EZID and all EZID information, including webinars, FAQs, and more. A clean, bright new look. No more hunting across two locations […]
Data Policies & Other Things
Last Friday I attended a seminar at UC Berkeley’s iSchool given by MacKenzie Smith, a terrific presenter and colleague who is affiliated with Creative Commons (among other prestigious organizations). MacKenzie was talking about data governance, an issue I covered a few months back for the DCXL blog. However on Friday MacKenzie brought up a few things […]
Data Literacy Instruction: Training the Next Generation of Researchers
This post was contributed by Lisa Federer, Health and Life Sciences Librarian at UCLA Louise M. Darling Biomedical Library In my previous life as an English professor, every semester I looked forward to the information literacy instruction that our librarian did for my classes. I always learned something new, and, even better, my students no […]
Putting the Meta in Metadata
The DCXL project is in full swing now– developers are working closely with Microsoft Research to create the add-in that will revolutionize scientific data curation (in my humble opinion!). Part of this process was deciding how to handle metadata. For a refresher on metadata, i.e. data documentation, read this post about the metadata in DCXL. […]
Data Publishing and the Coproduction of Quality
This post is authored by Eric Kansa There is a great deal of interest in the sciences and humanities around how to manage “data.” By “data,” I’m referring to content that has some formal and logical structure needed to meet the requirements of software processing. Of course, distinctions between structured versus unstructured data represent more […]
Communication Breakdown: Nerds, Geeks, and Dweebs
Last week the DCXL crew worked on finishing up the metadata schema that we will implement in the DCXL project. WAIT! Keep reading! I know the phrase “metadata schema” doesn’t necessarily excite folks – especially science folks. I have a theory for why this might be, and it can be boiled down to a systemic […]
Popular Demand for Public Data
When talking about data publication, many of us get caught up in protracted conversations aimed at carefully anticipating and building solutions for every possible permutation and use case. Last week’s release of U.S. census data, in its raw, un-indexed form, however, supports the idea that we don’t have to have all the answers to move […]
Data Citation Redux
I know what faithful DCXL readers are thinking: didn’t you already post about data citation? (For the unfaithful among you, check out this post from last November). Yes, I did. But I’ve been inspired to post yet again because I just attended an amazing workshop about all things data citation related. The workshop was hosted […]