Algorithms behave in ways even their creators can’t understand, yet they dominate how we share and see information. Do we need a “Three Laws for Algorithms”?
No matter what we call it, commenting on scholarly publications has a spotty record of success. Despite the mediocre results, journals, databases, and third party sites keep trying to get authors and readers to engage in this way. This post explores different models and the challenges online commenting faces.
A new survey provides an updated view of how and why researchers are using scholarly collaboration networks. Charlie Rapple shares key findings.
Data makes content discoverable, aids in decision-making, enriches product development, etc., but what data are most critical to success?
Yesterday, Ithaka S+R published findings from our triennial survey of library deans and directors at academic institutions in the United States. The report examines the strategic directions of academic libraries as well as their staffing and spending plans for the coming years. The pivot towards new research, teaching, and learning services, and towards distinctive collections, is continuing, although it is encountering some headwinds.
The information war requires changes — new research priorities, new personal and professional boundaries, higher editorial hurdles, and a hardened infrastructure.
Most journals have adopted rapid publication processes, but with the rise of preprint servers and new trends among readers, maybe they can return to a slower, more considered pace.
Content usage is a commercial priority for publishers — so too should be overcoming temporal stumbling blocks and refining metadata syndication to optimize the researcher experience of engaging with our online content.
Several services attempt to gather up “all” of the content across publishers. This post provides an overview and taxonomy.
As growth in content licensing slows, sophisticated content providers are building businesses supporting researcher workflow and university business processes.
In the quest to measure everything, authors are now presented with all kinds of metrics. This post reviews common sources for citation, attention, and usage metrics. Not all the tools are up for the job leaving authors wondering how to quantify the impact of their work.
Meta has been acquired by the Chan Zuckerberg Initiative. The arrangement will speed up the pace of scientific research and have an impact on scientific publishing.
Publishers often struggle to keep pace with content discovery demands. Emerald’s user-centered discoverability strategy provides some important lessons in how publishers might adopt a more deliberate, evidence-based approach to facilitating scholarly information seeking and retrieval.
Along with recent hair-pulling about fake news has come renewed awareness of the concept of “filter bubbles,” as many of us acknowledge the risk of political information “bubbles” following the US presidential election. Where we once bemoaned “filter failure” – […]
Quantitative analysis of researchers’ use of scholarly networks shows that they are more likely to be used for individual interests than for collaborative purposes.