Achieving human and machine accessibility of cited data in scholarly publications.

Reproducibility and reusability of research results is an important concern in scientific communication and science policy. A foundational element of reproducibility and reusability is the open and persistently available presentation of research data. However, many common approaches for primary data publication in use today do not achieve sufficient long-term robustness, openness, accessibility or uniformity. Nor do they permit comprehensive exploitation by modern Web technologies. This has led to several authoritative studies recommending uniform direct citation of data archived in persistent repositories. Data are to be considered as first-class scholarly objects, and treated similarly in many ways to cited and archived scientific and scholarly literature. Here we briefly review the most current and widely agreed set of principle-based recommendations for scholarly data citation, the Joint Declaration of Data Citation Principles (JDDCP). We then present a framework for operationalizing the JDDCP; and a set of initial recommendations on identifier schemes, identifier resolution behavior, required metadata elements, and best practices for realizing programmatic machine actionability of cited data. The main target audience for the common implementation guidelines in this article consists of publishers, scholarly organizations, and persistent data repositories, including technical staff members in these organizations. But ordinary researchers can also benefit from these recommendations. The guidance provided here is intended to help achieve widespread, uniform human and machine accessibility of deposited data, in support of significantly improved verification, validation, reproducibility and re-use of scholarly/scientific data.

The Future of Research Communication.

This report documents the program and the outcomes of Dagstuhl Perspectives Workshop 11331 "The Future of Research Communication". The purpose of the workshop was to bring together researchers from these different disciplines, whose core research goal is changing the formats, standards, and means by which we communicate science.

Advancing translational research with the Semantic Web.

BACKGROUND: A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to strengthen Translational Research, defined as the movement of discoveries in basic research to application at the clinical level. A significant barrier to translational research is the lack of uniformly structured data across related biomedical domains. The Semantic Web is an extension of the current Web that enables navigation and meaningful use of digital resources by automatic processes. It is based on common formats that support aggregation and integration of data drawn from diverse sources. A variety of technologies have been built on this foundation that, together, support identifying, representing, and reasoning across a wide range of biomedical data. The Semantic Web Health Care and Life Sciences Interest Group (HCLSIG), set up within the framework of the World Wide Web Consortium, was launched to explore the application of these technologies in a variety of areas. Subgroups focus on making biomedical data available in RDF, working with biomedical ontologies, prototyping clinical decision support systems, working on drug safety and efficacy communication, and supporting disease researchers navigating and annotating the large amount of potentially relevant literature. RESULTS: We present a scenario that shows the value of the information environment the Semantic Web can support for aiding neuroscience researchers. We then report on several projects by members of the HCLSIG, in the process illustrating the range of Semantic Web technologies that have applications in areas of biomedicine. CONCLUSION: Semantic Web technologies present both promise and challenges. Current tools and standards are already adequate to implement components of the bench-to-bedside vision. On the other hand, these technologies are young. Gaps in standards and implementations still exist and adoption is limited by typical problems with early technology, such as the need for a critical mass of practitioners and installed base, and growing pains as the technology is scaled up. Still, the potential of interoperable knowledge sources for biomedicine, at the scale of the World Wide Web, merits continued work.

Unilateral multicentric breast cancer.

Clinical characteristics of unilateral multicentric breast cancer (UMBC) were explored depending on aggressiveness, survival rate, disease-free period and local recurrence. The study included 296 women with breast cancer, surgically treated between 1990 and 2001. UMBC was histologically proved in 29 (9.8%) patients. Multicentricity was defined by following criteria: a) tumor with minimum one satellite node in the same or other quadrant of the breast; b) minimum one cut through the breast without tumor cells; c) histopathologically, discontinued tumors with intra-ductal invasion. The average age of patients was 63.4 (range 36-85). There were 9 (31.0%) women with one satellite node, 7 (24.1%) women with two satellite nodes, and 13 (44.8%) women with three or more satellite nodes. At the operation, axilla was positive in 20 (68.9%) women. Steroid receptors were highly positive in 12 (41.4%) patients. Primary and secondary tumors were of the same histological type in 26 (89.6%) patients. Local recurrence was found in only 3 (10.3%) patients. A five-year period without disease was achieved in 24 (82.7%) women. Kaplan-Meier analysis showed a significantly higher survival rate at lower tumor stages (I or II) unlike in advanced stages with predominantly N2 grade. The results of this study showed a slightly lower five-year disease-free period than in the case of patients with monocentric breast cancer (MOBC). The survival rate was significantly lower at all advanced stages, especially determined by N2 axilla. Therefore, the conclusion is that multicentricity doesn't increase the risk of poor prognosis, especially at lower tumor stages.

Anthropological and clinical characteristics in adolescent women with dysmenorrhea.

The aim of this study was to examine the prevalence of dysmenorrhea in female adolescents and the influence of anthropological characteristics and lifestyle factors on menstrual pain. Two hundred and ninety seven girls from several elementary and secondary schools were interviewed about the presence of the menstrual pain, their age, height and weight, menarcheal age, menstrual cycles quality, smoking and sexual activity. There were 164 (55%) subjects with and one hundred and thirty three (45%) without dysmenorrhea. The adolescents with dysmenorrhea answered the questions about missing activities and taking pills for pain. No difference was observed between the girls with and the girls without dysmenorrhea in their chronological age, height, weight, menarcheal age, menstrual cycles quality, cigarette smoking and sexual activity. In the group of dysmenorrheic adolescents there was infrequent missing activities and bedrest, but missing school was observed in 22 percent and taking pills for pain was observed in 96 percent of the subjects. Young girls who experienced menstrual pain are good candidates for a prophylactic therapy, such as hormonal contraception. A replication of this study is needed for public health services in the future to improve the quality of life of the dysmenorrheic young women.