Sexual Harassment of Girls in Elementary School

AIA Tutorial

BMC Bioinformatics, 2007

2010

Health Prospect

The number of scientific articles published each year is rapidly growing and so is the number of academic journals. This makes it impossible for an individual practitioner or researcher to keep track of all research published in their own field or sub-discipline. With the growing amount of publications, it is also becoming more difficult to distinguish between similar papers published on the same topic, in the same journal, or by the same researchers (or research team). This perspective paper could support students and novice researchers, outlines the difference between the unique identifier for: (1) you as the researcher, (2) a specific paper; and (3) a specific journal. This paper further outlines the various numerical identifiers associated with academic publishing to help demystify academic publishing.

International Journal of …, 2007

The project aims to study the Microsoft Academic Graph, a scholarly citation database, by comparison with three competitors in the field: Web of Science, Scopus, and Google Scholar. Openness, transparency of data gathering and processing, and completeness of data including the global unique identifiers has been researched in each of the four datasets. The analysis has been conducted using a set of 75 institutional affiliations, 6 randomly selected authors from the and 639 documents published by these authors. The coverage of total research output in MAG of the six selected authors had reached 76.0%, hence being on-par with coverage of Google Scholar (76.2%) and significantly better than that of Scopus (66.5%) and Web of Science (58.8%). The overall results indicate that Microsoft Academic Graph can be an interesting source of information for bibliometric or scientometric analysis. However, no definite conclusions regarding the scope of MAG can be drawn due to the small size of the sample. Furthermore, problems with affiliation and author disambiguation in MAG have been highlighted. Finally, studies focusing on the disciplinary coverage of the datasets in greater detail are proposed.

F1000Research, 2015

A central tenet in support of research reproducibility is the ability to uniquely identify research resources, i.e., reagents, tools, and materials that are used to perform experiments. However, current reporting practices for research resources are insufficient to identify the exact resources that are reported or to answer basic questions such as “What other studies used resource X?” To address this issue, the Resource Identification Initiative was launched as a pilot project to improve the reporting standards for research resources in the methods sections of papers and thereby improve identifiability and scientific reproducibility. The pilot engaged over 25 biomedical journal editors from most major publishers, as well as scientists and funding officials. Authors were asked to include Research Resource Identifiers (RRIDs) in their manuscripts prior to publication for three resource types: antibodies, model organisms, and tools (i.e., software and databases). RRIDs are assigned by an authoritative database, for example a model organism database, for each type of resource. To make it easier for authors to obtain RRIDs, resources were aggregated from the appropriate databases and their RRIDs made available in a central web portal ( http://scicrunch.org/resources ). RRIDs meet three key criteria: they are machine readable, free to generate and access, and are consistent across publishers and journals. The pilot was launched in February of 2014 and over 300 papers have appeared that report RRIDs. The number of journals participating has expanded from the original 25 to more than 40 with RRIDs appearing in 62 different journals to date. Here, we present an overview of the pilot project and its outcomes to date. We show that authors are able to identify resources and are supportive of the goals of the project. Identifiability of the resources post-pilot showed a dramatic improvement for all three resource types, suggesting that the project has had a significant impact on identifiability of research resources.

Agricultural Information Worldwide, 2011

AGRIS provides a large collection of bibliographic references, such as research papers, studies and thesis, each including metadata such as conferences, researchers, publishers, institutions, and keywords from different thesauri such as AGROVOC. With the rise of the full text search and online availability of more research material, the role of bibliographic metadata appears redundant. When it is considered as a form of modeling that emphasizes relationships, connections and links, bibliographic metadata grows in value ...

Journal of Cybersecurity