The online research landscape presents myriad opportunities to expand the reach and use of journal articles. But it’s also introduced some new publishing challenges, particularly in the area of article production. Today, publishers have to not only support scholars seeking traditional print-formatted PDF pages but also mobile readers who expect responsive HTML content and scholarly databases with XML-based indexing and increasingly sophisticated metadata requirements. Many publishers have struggled to find ways to produce three times as many article file types without adding two to three times as many steps to in-house or outsourced production processes.
At Scholastica, as a technology provider, we’re on a mission to enable scholarly organizations of all sizes to publish academic journals a lot more easily and affordably. We recognize that traditional print-based typesetting workflows just aren’t cutting it anymore, and publishers need more efficient ways to produce all of the digital article file types they need. That’s why we’ve developed an advanced software-based journal production service. Our production team generates PDF, HTML, and full-text JATS XML files in a fraction of the time of traditional processes. How are we able to do it?
In this post, we break down five areas of journal production where we’ve introduced smart automation to help publishers get the article files they need faster while saving time and costs.
We know many publishers have struggled to produce articles in PDF, HTML, and full-text XML (or at least XML article-level metadata), resulting in either more complex production workflows or missed article discovery opportunities. Even when applying newer XML-first production processes, creating these different file types often involves multiple conversion steps for editors. And maintaining consistency between files throughout proof review can be a challenge, with authors and editors either having to switch between Word docs and XML workflow systems or to try to make changes in XML code.
What differentiates Scholastica’s production service from others is that we don’t format articles individually or require authors and editors to use special XML production workflow systems. Rather, using our advanced software-based process, we’re able to generate professionally formatted PDF, HTML, and full-text XML articles simultaneously from authors’ original DOCX or LaTeX manuscripts and accompanying files. So there are no separate steps or systems for PDF and HTML article layout/composition/typesetting or XML creation. With Scholastica’s production service, journals need only send us copy-edited manuscript files. We take it from there, using software to generate PDF, HTML, and full-text XML articles with core metadata all at once.
Since Scholastica generates PDF, HTML, and full-XML articles simultaneously, we’re also able to ensure the different article types stay in sync throughout proof review. Meaning, when edits are made to any individual article file, the other two files automatically update to reflect those changes. Automatic edit syncing across articles helps to greatly reduce the potential for errors between proofs and eliminates confusion around correct file versions. Authors and editors can be confident that no matter what file type they’re looking at, it’s always going to be the most up-to-date version of the article.
While using automation to speed up article layout and typesetting, Scholastica’s production team handles the entire proof review process for publishers working directly with editors and authors to make any article updates needed. Our team also reviews all article outputs generated via our software conversion process to ensure the accuracy and uniformity of typeset files. So journals receive hands-on support throughout Scholastica’s production process while getting the benefits of a software-based production approach.
Since Scholastica uses technology to format articles, we’re also able to offer added automation benefits, including ensuring that figures and tables render properly in each article file type. Scholastica’s production service eliminates the friction journals often experience when trying to get figures and tables to properly fit in different PDF and HTML article layouts because we use smart software to handle all image and graphic sizing.
Scholastica uses machine-readable tabular data to generate tables within articles, so they are sure to fit within PDF and HTML article layouts without the need for awkward resizing. We’re also able to auto-size all images to ensure they render properly with consistent proportions in HTML as well as our single or two-column PDF article templates.
Another area of the production process where we’re able to provide added automation benefits is styling and normalizing article citations. Rather than manually formatting citations, Scholastica’s production team uses software to auto-generate article citations in the journal’s chosen style. We support all major citation styles, including APA, MLA, AMA, and Chicago, and we can easily update articles to use any of those formats, such as switching APA citations to MLA or vice versa. Scholastica also uses available third-party services to enrich article citation data, such as finding Digital Object Identifiers (DOIs) or PubMed Central (PMC) identifiers and adding them to article citations. Additionally, Scholastica is harnessing the power of machine learning to check citation accuracy and make edits go a lot faster.
Finally, we know metadata creation is one of — or arguably the most — important parts of article production, that’s why we’re focused on optimizing the article-level metadata we produce. Scholastica’s journal production service creates XML files in the JATS standard for all articles with core metadata, including references, funding information, copyright, and persistent identifiers (e.g., ORCID, DOI). Our JATS XML is pre-formatted for ingestion by major discovery services, including PubMed and PubMed Central, and our production team is available to support journals with indexing questions. Scholastica also ensures that all metadata can be easily parsed by search engines, so articles are discoverable online.
Journals using Scholastica’s peer software and/or Open Access publishing platform can also take advantage of added metadata automation benefits. Our peer review system and OA publishing platform seamlessly integrate with our production service. So journals using Scholastica for peer review can import all of their accepted articles and accompanying metadata from that system straight to our production service. And journals using Scholastica’s OA hosting platform can publish typeset articles to their Scholastica-hosted website in a few clicks.
Introducing smart automation to streamline article production remains a focus for Scholastica, and we’re continuing to optimize our production service, including using new machine learning methods to produce consistent article files even more efficiently. To learn more about our production service, we encourage you to visit our website. You can also request a personal demo of Scholastica here.