Data Citation Standards: Progress, But Slow Progress
A study shows that adherence to best practices for data citation is improving, but still has a long way to go.
Open Data and Trust in the Literature
A short film on the need for accurate statistical analysis and data availability.
What Price Progress: The Costs of an Effective Data Publishing Policy
The hidden costs of data availability policies.
Personalizing Discovery without Sacrificing Serendipity
A researcher’s core interests may be in a specific set of areas, but effective discovery also helps that researcher to stay aware of adjacent areas of interest or even potential areas of unknown interest. Personalized approaches to discovery can improve research efficiency without sacrificing serendipity.
U.S. Agency for Healthcare Research and Quality (AHRQ) Announces Public Access Policy
The second public access plan from a US federal funding agency has been announced. Some first impressions…
Data for Discovery
The benefits of personalizing discovery are already playing themselves out in the consumer space, suggesting tremendous opportunities for using data to personalize the research process. Given the scale of data needed for effective personalization, the implications of changing discovery processes will cascade through the scholarly ecosystem.
Conveying Understanding: That Grumpy Essay in the New York Times
Technology is great, but does it deserve top billing? Leon Wieseltier’s essay in the New York Times as well as articles by other academics raise a challenge to the information industry as a whole.
What’s Going On in the Library? Part 2: The Convergence of Data Repositories and Library Publishers
In the final part of a series on library publishers, Phill Jones explores the relationship between library publishing and institutional repositories against a background of funder data sharing mandates.
Data is Just A Clue to the End Truth
A short video on the art of data visualization, an increasingly important subject in the era of “big data”.
To Share or not to Share? That is the (Research Data) Question…
With increased pressure from funding bodies and others for researchers to make their data open, as well as their research articles, it’s important to understand who is already sharing what data, how, why – and why not…
Virtual Reality Research — Some Early Problems with Data Reanalysis and Risks of Open Data
The idea of “reanalysis” needs to be rethought, if recent examples are any indication of what this trend could do to science.
Finding Stuff: Discovery and Data Quality
Three different items recently published discuss the current state of thinking about discovery tools for purposes of research. Which one captures the right mindset? What should content providers be doing to support discovery?
Reproducible Research: A Cautionary Tale
Public access to research data offers clear benefits for reproducibility in some fields. But in the world of cancer cell biology, complexity reigns, and replicating results is not so easy a process.
PLOS' Bold Data Policy
PLOS has set a new policy, requiring authors to make all data behind their published results publicly available. This has been met with a great deal of controversy from the research community. Thoughts on why this policy and why now…
Data Detectives: Investigating What is, and What is Not, Measured
Businesses are using more data than ever to inform decision making. While the truly large Big Data may be limited to the likes of Google, Amazon, and Facebook, publishers are nonetheless managing more data than ever before. While the technical challenges may be less daunting with smaller data sets, there remain challenges in interpreting data and in using it to make informed decisions. Perhaps the most daunting challenge is in understanding the limitations of the dataset: What is being measured and, just as importantly, what is not being measured? What inferences and conclusions can be drawn and what is mere conjecture? Where are the bricks and mortar solid and where does the foundation give way beneath our feet?