Informes del CRICC is a collection of the CRICC’s self-published publications and working papers, which are available in open access in the UB’s Digital Archive:
MIAR (Matrix of Information for the Analysis of Journals) is a database of scientific journals that aims to provide key information for their identification and analysis.
MIAR includes 46,000 publications. Each publication is analysed to determine its presence in databases (WoS, Scopus, DOAJ, etc.) and multidisciplinary repositories. Then, each journal is given a rating based onits dissemination in abstracting and indexing databases and/or in repositories that evaluate periodic publications. As a result, various thresholds can be established to compare the presence of journals on the same subject in different information sources of international relevance.
MIAR is updated twice monthly. It is comprehensive as it shows the visibility of journals in many, varied databases, it is collaborative as comments and contributions can be made, and it is transparent as the algorithm for the ICDS index is public.
MIAR is a support tool for agencies and organisations that want to assess journals, as it includes data on the identification and dissemination of journals that publish the works under evaluation.
PolDoc Hispànic is an online directory of collection management and development plans of Spanish and Latin American scope.
The directory is designed to gather all collection development plans and documentation related to the topic from any public or private information centre (public libraries, school libraries, university libraries, research libraries, national libraries, heritage libraries, specialized documentation centres, etc.), in any language, with public or open access.
The project was initiated with the support of POLDOC, a directory developed in 2004 by the École nationale supérieure des sciences de l’information et des bibliothèques (Enssib) coordinated by Bertrand Calenge.
In the medium- to long-term other countries with similar projects are expected to join, to form a cooperative network.