Today, we are pleased to announce the publication Making Data Count in Scientific Data. John Kratz and Carly Strasser led the research effort to understand the needs and values of both the researchers who create and use data and of the data managers who preserve and publish it. The Making Data Count project is a collaboration […]
Author: John Kratz
Make Data Rain
Last October, UC3, PLOS, and DataONE launched Making Data Count, a collaboration to develop data-level metrics (DLMs). This 12-month National Science Foundation-funded project will pilot a suite of metrics to track and measure data use that can be shared with funders, tenure & promotion committees, and other stakeholders. To understand how DLMs might work best […]
Fifteen ideas about data validation (and peer review)
Many open issues drift around data publication, but validation is both the biggest and the haziest. Some form of validation at some stage in a data publication process is essential; data users need to know that they can trust the data they want to use, data creators need a stamp of approval to get credit […]
Finding Disciplinary Data Repositories with DataBib and re3data
This post is by Natsuko Nicholls and John Kratz. Natsuko is a CLIR/DLF Postdoctoral Fellow in Data Curation for the Sciences and Social Sciences at the University of Michigan. The problem: finding a repository Everyone tells researchers not to abandon their data on a departmental server, hard drive, USB stick , CD-ROM, stack of Zip disks, […]
Data Publication Practices and Perceptions
Today, we’re opening a survey of researcher perceptions and practices around data publication. Why are you doing a survey? The term “Data publication” applies language and ideas from traditional scholarly publishing to datasets, with the goal of situating data within the academic reward system and encouraging sharing and reuse. However, the best way to apply […]
A forthcoming experiment in data publication
What we’re doing: Some time next year, the CDL will start an experiment in data publication. Our version of data publication will look like lightweight, non-peer reviewed dataset descriptions. These publications are designed to be flexible in structure and size. At a minimum, each document must have six elements: Title Creator(s) Publisher Publication year Identifier […]
Data Citation Developments
Citation is a defining feature of scholarly publication and if we want to say that a dataset has been published, we have to be able to cite it. The purpose of traditional paper citations– to recognize the work of others and allow readers to judge the basis of the author’s assertions– align with the purpose […]
Hello Data Publication World
Greetings, all. I’m a new postdoc at the CDL and I’m very excited to be spending the next couple of years thinking about data publication. Carly has discussed data publication several times before, but briefly, the goal is to improve dataset reproduction and reuse by publishing datasets as “first class” scholarly objects akin to journal articles- with the attendant […]