At the Researcher to Reader conference, a volunteer project was launched to define a new suite of indicators to help researchers judge publishers, rather than the other way around.
A brief summary of the main citation indicators used today.
An interview with the team behind the new Release 5 of the COUNTER Code of Practice.
What should publishers know about researchers and their work? Alice Meadows and Karin Wulf follow up a post earlier this year about “Seven Things Every Researcher Should Know about Scholarly Publishing.”
After many and long conversations among colleagues within and beyond the Scholarly Kitchen
about what researchers need to know about scholarly publishing, Alice Meadows and Karin Wulf compiled a list of what we think to be the most urgent issues.
There is no shortage of critique of citation metrics and other efforts to quantify the “impact” of scholarship. Will a report calling for “responsible metrics” help researchers, administrators and funders finally wean themselves?
Citation practices vary between and within STM and HSS; they also vary by discipline and within disciplines. Though citation metrics presume evidence of “impact,” in fact a citation may represent a range of intentions. Given the emphasis on citation indices, isn’t it important to query what scholars are actually doing when they cite another scholar’s work?
The recent ORCID-CASRAI conference in Barcelona brought together over 150 researchers, research administrators, funders, publishers, vendors, and others working in scholarly communications to discuss research evaluation, with a particular focus on social science and humanities – resulting in some interesting conversations and observations
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.
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?
Recent data from the Guardian suggests that commenting remains a fringe activity, often dominated by a few voices. What might this mean for initiatives based on altmetrics and post-publication review?
With the speed of communication today, researchers, authors, and grant funders are impatient to get an indicator of its value. Waiting 1-3 years for publication and citation seems interminable. Conflating an article’s impact with its journals’ impact creates uncertainty, as […]
Attempts to game a journal’s Impact Factor can result in being de-listed from the Journal Citation Report. Most offenders learn their lesson and return to normal citation behavior.
Moving beyond citations, publisher paints broader picture of quality with palette of performance indicators.
Are the humanists trying too hard to be like scientists?