Listen up! Is it time for systems to pay attention to attributes?
Mary Seligy, Canadian Science Publishing
Virtually none of us produces attribute-free content, and all of us rely on at least a few attributes for internal processing
and publishing to our own websites. Outside of our own publishing systems, sensitivity to attributes and their values is patchy.
But this is at odds with a world in which content exchange and reuse are more important than ever in the shared scholarly
publishing infrastructure, much of which is supported or could be supported by attributes. In this presentation, we'll look
at the current state of attribute insensitivity among systems and the changing role of attributes in scholarly publishing,
with the aim of starting a conversation about why and how we need to address the challenges around attribute insensitivity
MECA―Manuscript Exchange Common Approach
Caroline Webber, Aries Systems Corporation
Sally Ubnoske, Aries Systems Corporation
Joel Plotkin, eJournalPress
Authors are irritated at time, effort, delays when re-submitting articles. Reviewers' time is wasted when reviews are re-done
or replicated. New publication flows demand transfers to/from preprint servers. Each workflow system has to implement separate
transfers to each other system―these "pairwise" transfers, all using different XML and transfer "packages"― are inefficient.
A common approach to moving manuscripts solves these use cases and can also solve some additional workflow problems. All we
need is for a group of competitors to collaborate!
Using JATS to Harmonize JSTOR's Journal Metadata Capture
Jonathan Ponder, ITHAKA (JSTOR)
JSTOR is in the process of implementing a new XML metadata specification for journals based on the Journal Archiving and Interchange
tag set. This new JSTOR journal metadata specification is a key part of a larger effort to unify JSTOR's metadata capture,
production, and ingest across journal content, regardless of source input or business product. Up to now, JSTOR journals have
used a combination of an in-house XML DTD and various versions of the NLM XML DTDs, depending on source input and business
product, but now we are updating the metadata specifications we use to cover all journals in a single specification that complies
with the latest JATS version. In this presentation, I will briefly describe JSTOR's production context, which involves processing
current to very old journal issues from a wide range of disciplines including the humanities, social sciences, STEM, law,
economics, and business. Next, I will discuss our move to a JATS-based specification and, in particular, the new specification
document itself, which does the following: 1) defines a subset of JATS tags to use for JSTOR journals, 2) outlines the XML
model and other technical requirements according to JATS rules, 3) outlines additional JSTOR editorial and business rules,
which comply with JATS, 4) covers the processing of print source, PDF source, and full-text XML source, and 5) defines an
Issue XML file model and a Pages XML file model to be used for scanned print source material. Finally, I will discuss some
specific examples of changes and additions to our metadata specification in this update to the JATS standard and some of the
benefits and challenges of making this change to JATS.