What Constitutes Peer Review of Data? A Survey of Peer Review Guidelines
What constitutes peer review of a data set?
What constitutes peer review of a data set?
The information war requires changes — new research priorities, new personal and professional boundaries, higher editorial hurdles, and a hardened infrastructure.
An overview of usage trends across libraries and journals indicates that usage is generally stable or up, archives remain of interest, and consumption doesn’t align with authorship or funding.
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.
As a follow-up to the chef’s best books read during 2016, I’m happy to present a selection of our favorite university press reads of 2016 (and thanks to one of our commenters for the suggestion!). We tend to think of […]
Elsevier’s new CiteScore service is a carefully thought-out element in the company’s competitive strategy, but it reinforces the widespread error that bibliometrics can be use as proxies for the quality of a publication.
A few take-aways from STM Week, including London Information International — why publishers have to take security seriously, why OA may need to itself be disrupted, and why we might want to rethink the “content business” positioning we have.
A new book reviews various instances of piracy in the media industry and proposes using Big Data analyses as a means to manage it.
A cautionary tale on how difficult it can be to obtain another researcher’s published data.
The long-desired hope that digital publishing will be cheaper gets more cold water, as infrastructure and personnel costs continue to rise, with no real end in sight.
We typically classify publishers as Old Media and New Media, but now we have companies that are part of a new paradigm, the Dat Media company. Such companies sit above both Old and New, studying patterns in usage and in the databases of information aggregated by publishers.
The new book, “Weapons of Math Destruction,” calls out many worrying trends in the application of big data, with particularly salient entries on higher education rankings, for-profit universities, the justice system, insurance, and employment.
A presentation to the 2016 ISMTE US Conference. Something of a “state of our industry” overview, or perhaps, everything I needed to know I learned from the other bloggers at The Scholarly Kitchen.
Internet security seems to be crumbling before our eyes, and our media and leaders are not immune and lack a crucial understanding of how vulnerable a totally digital world can be. The answer may lie with analog technologies.
A proposal to substitute graphs of citation distributions for impact factors introduces many problems the authors don’t seem to have fully grasped, including unintentionally bolstering the importance of the very metric they seek to diminish.