The University Library of Regensburg and JournalTOCs concluded the implementation of a collaboration agreement to include in the Elektronische Zeitschriftenbibliothek (Electronic Journals Library (EZB)) journals information to enable their users to access to new journal TOCs from their EZB web pages. The new EZB service including the links from JournalTOC was launched on 5th December, 2013. The project mutually benefits both parties. In exchange of receiving free access to the JournalTOCs API, EZB helps with providing feedback and testing new features developed for the API.
Annually, many journal titles are transferred between publishers, cease publication, have their URLs changed, new titles are published, etc. JISC Collections estimated that over 3400 journal titles were transferred between publishers in the 2009-2011 period only. JournalTOCs is able to keep track of those changes in a systematic or automated way. In particular JournalTOCs can identify when the URL for a journal TOC RSS feeds have been changed, removed or when new TOC RSS feeds are made available. Thus, through its customised APIs, JournalTOCs constantly is providing up-to-date information on journal metadata to research libraries and service partners such as EZB.
EZB was founded in 1997 by the University Library of Regensburg, in Regensburg, Germany; with the aim of presenting e-journals content to library users in a clearly arranged one-stop user-interface and to create for the EZB member libraries and efficient administration tool for e-journal licences. Over 600 institutions from Germany are part of EZB, which is also used by subject libraries and information services. The EZB was a sponsored project by the German Federal Ministry of Education and Research, the Bavarian State and the German Research Foundation (DFG). Since 2010 all participant libraries pay a small fee to keep the service ongoing.
Prof. Rafael Ball, Director of the University Library Regensburg, said “We want to give our users more helpful data, so we would like to include the information of JournalTOCs. It would be possible e.g. to integrate the information of JournalTOCs with a symbol and a hint like ‘recent articles’ on the detail site of a journal in EZB. So our users would get the possibility to set a dynamic bookmark, if they want to; we hope to give them a new better benefit with this feature.”
JournalTOCs carries out systematic research into new types of integration of journal metadata, and develops new web services for enabling institutions to benefit from the metadata collected by JournalTOCs. The core aim of this research is to ensure that other services can provide their end-users with tailored access to the latest literature published in scholarly journals. JournalTOCs is currently involved with research projects and collaborations, it highly values working with members of the research community and welcomes future opportunities for collaboration particularly in the fields of:
- Metadata standards for systematic discovery of new research
- Integration of TOCs metadata within library services
- Identification and clustering of Open Access articles
You can get in touch with JournalTOCs at: email@example.com
OpenRefine (ex-Google Refine) is a powerful tool for working with big data, cleaning it, transforming it from one format into another, extending it with web services, and exploring large data sets with ease.
JournalTOC API is a RESTful web service that can provide access to the full dataset collected by the JournalTOCs Project since 2009. This dataset contains the metadata for over 22,000 journals and for more than two millions of articles published during that span of time.
Ted has used the RDF Refine extension for OpenRefine to link local data stored in VIVO as RDF with other sources on the Web. OpenRefine allowed him to query a reconciliation service to match local strings to entities from another source and the RDF Extension enabled him to export those entities as RDF.
Basically Ted wanted to interlink the metadata describing the work of university researchers with the venues in which their research is published. Because JournalTOCs is a good source of metadata about academic journals and articles, he used a demo reconciliation service developed by Michael Stephens as a model, and put together a basic reconciliation service for the JournalTOC data that queries the JournalTOC API and translates the response to the format that OpenRefine is expecting. This service can be run locally and OpenRefine will query it just fine. Ted has open sourced his code and it is available on Github and it looks like a good option for librarians and researchers working with similar data sets.
Developers can use the JournalTOCs API to embed JournalTOCs’ metadata and search functionality within their own web services. Anyone with access to RSS Readers can also benefit from the JournalTOCs API. Most of JournalTOCs API calls are free and only require a simple registration process. The API responses are returned in RSS 1.0 format, which then you can parse and use in your own web application, RSS reader or institutional web page. Further information on JournalTOCS API can be found here.
More Information on OpenRefine and JournalTOCs:
From time to time, we receive questions about RefMan. For that reason, although Adept have no plans to release new versions of RefMan, we have prepared this small guide to help users needing to export search results from JournalTOCs to RefMan.
Let’s assume that your search query is:
Optical Coherence Tomography intravascular coronary imaging
- Sign in from http://www.journaltocs.ac.uk/index.php?action=signIn
- If you are a Premium user, select the Articles Tab and enter your search query as shown below:
- If you are a Free user, enter your search query and tick the for Articles by Keywords option, as shown below:
- Hit Go to execute your search
- The results listing the articles found for your search will be displayed as shown below:
- When you click on the title of an article, the system will display its full citation and you will be able
to tick the checkbox near to its title to save it in your Articles to Export page, as shown in the following example:
- Repeat the previous step for all the articles you want to export.
- Go to your Articles to Export page (http://www.journaltocs.ac.uk/savedArticles.php) and click the Export to EndNote link to produce a compatible RIS file (EndNote®).
- Follow the instructions at http://www.refman.com/support/faqs/import/faq3.asp to import the RIS file into your RefMan database.
Overall Nature, Science and New England Journal of Medicine are the most followed journals at JournalTOCs (Top Journals). However, among the Open Access (OA) journals (which are carefully selected by JournalTOCs), D-Lib Magazine, the Journal of Information Literacy and, the Journal of Library & Information Science are the most followed OA journals. Below we list the top 100 most followed OA journals:
Every day, we create approx 5 thousand new records; most of those records are metadata of journal articles published in the previous 24 hours. The following image represents the metadata that JournalTOCs has collected so far.
The table illustrated at the left hand side is a sample of the data source for this big metadata. It represents the number of new articles per day found in the journal TOC RSS feeds in March 2013.
Roughly 70% of that metadata was gathered in the last two years alone since JournalTOCs was launched as a public service in May 2011. As today, this metadata represents data of 1,795 publishers, 10,200 Premium users from licensed institutions, 22,050 journals, over 100,000 tracked research interests collected from followed journals that are frequently visited by any user (free and Premium registrations) and near 8 million articles that were published in the last 5 years. This big metadata is more than a matter of size. It can be an opportunity to find insights in new and emerging types of research, to support or create library management systems, and to help to answer questions regarding research publications. JournalTOCs offers ways to harvest this opportunity. It uses web services and standard harvesting protocols to open the door to the possibilities given by this big metadata, including:
+ Harvesting the metadata of all the journals indexed by JournalTOCs, which includes title, ISSN numbers, access rights, subject classification, publisher, number of follower, last issue published date, the URL of the journal RSS feeds and the journal homepage
+ Harvesting the complete database of the metadata of 8 million articles, including all the content collected from their RSS feeds
+ Querying the metadata of specific journals by ISSN or keywords in the journal title
+ Searching for articles in the current issues or the backfile issues