Consuming Linked Data within a Large Educational Organization

Large universities tend to spread their services across several departments to serve their substantial student base. It is very common for this to result in developing different systems, which end up in creating many disconnected data silos within the organization. Data isolation is one of the main bottlenecks that prevent unlocking the full potential behind exploiting such data, to provide a better experience at the level of application deployment and data analysis. The Open University is in the process of connecting their data silos by relying on the Linked Data principles within the LUCERO project. We discuss in this paper three use-cases through which we consume Linked Data produced at the Open University: (1) a student services use-case showing how we exploit data connections to deliver learning material related to courses through the university's main course information website; (2) a mobile course application that enables students to easily explore courses by subject, qualification or research topic; and (3) a Leanback TV service that provides students the ability to watch, with a degree of control, a set of podcasts grouped in different channels. Through these use cases, we highlight in this paper the advantages and effects of consuming Linked Data within an organization

Extreme self-organization in networks constructed from gene expression data

We study networks constructed from gene expression data obtained from many types of cancers. The networks are constructed by connecting vertices that belong to each others' list of K-nearest-neighbors, with K being an a priori selected non-negative integer. We introduce an order parameter for characterizing the homogeneity of the networks. On minimizing the order parameter with respect to K, degree distribution of the networks shows power-law behavior in the tails with an exponent of unity. Analysis of the eigenvalue spectrum of the networks confirms the presence of the power-law and small-world behavior. We discuss the significance of these findings in the context of evolutionary biological processes.Comment: 4 pages including 3 eps figures, revtex. Revisions as in published versio

Dynamic of Arabica Coffee Marketing Organization in Ngada District:Progress Upon Implementing of Geographical Indication

Farmer organization has important role on coffee agribusiness development. Organization was positioned as a driving force on farmer economic activities, especially in strengthening partnership networks. Realizing the importance of organization, the aim of this research was to identify the coffee market structure in the scheme of Geographical Indication; to analyze the dynamic of coffee marketing organization at farmers level; and to analyze added value of wet parchment bean sales at the farmers organization. This research was conducted in Ngada District which includes Bajawa, Golewa and West Golewa Sub-district. Respondents in this study were 100 farmers which determined by using simple random samplingmethod. The primary data was based on questionnaire and secondary data was from journals, articles, and internal reports. Data were analyzed with descriptivequalitativeapproach and Hayami method. The results showed that coffee market structure in Ngada District lead to imperfect competition market (monopsonyoligopsony). The dynamic of farmers organization worked in progress which shown through ease access to market information and networking. Vertically organizational relationship between farmers and other market cooperatives has been established. Added value at UPHs/cooperative in the coffee supply chain was 15,35% of output valu

Data Management and Organization

Research Data Management is the process of organizing, documenting, sharing, and preserving the data generated through the course of a research project. In this workshop, you will learn about the best practices for managing your data efficiently, which will help to ensure that your data is well documented, reusable, organized, stored, and preserved

The Effect of Organization Restructuring on Organization Performance Viewed From Employee Performance and Leadership Effectiveness at Maluku Provincial Education Office

The focus of this research is to comprehensively analyze the effect of organization restructuring on the performance of the organization, directly or indirectly, involving 276 employees in the education office and the Ministry of Education and Culture offices and collected by survey method. Data analysis was done using causal correlation technique to see the effect of organization restructuring on organization performance. The results of the research indicate that there is a direct influence of organization restructuring on organization performance. Another result is that there is an indirect effect of restructuring through employee performance and leadership effectiveness on organization performance. The influence of organization performance improvement is due to, organization restructuring implemented in Maluku Province education office has lead to behavior change, where the employees of education office were able to improve individual performance and can work together with the leadership as an efficient and effective structure. This has an impact on improving organization performance

Ontology-Based Data Access and Integration

An ontology-based data integration (OBDI) system is an information management system consisting of three components: an ontology, a set of data sources, and the mapping between the two. The ontology is a conceptual, formal description of the domain of interest to a given organization (or a community of users), expressed in terms of relevant concepts, attributes of concepts, relationships between concepts, and logical assertions characterizing the domain knowledge. The data sources are the repositories accessible by the organization where data concerning the domain are stored. In the general case, such repositories are numerous, heterogeneous, each one managed and maintained independently from the others. The mapping is a precise specification of the correspondence between the data contained in the data sources and the elements of the ontology. The main purpose of an OBDI system is to allow information consumers to query the data using the elements in the ontology as predicates. In the special case where the organization manages a single data source, the term ontology-based data access (ODBA) system is used

Telegram from Howard Teich, Founder of New Democratic Dimensions, to Geraldine Ferraro

Telegram from Howard Teich, Founder of New Democratic Dimensions (a Democratic civic organization), to Geraldine Ferraro. Teich mentions Ferraro appearing as main speaker at the organization in 1984. Includes data entry sheet.https://ir.lawnet.fordham.edu/vice_presidential_campaign_correspondence_1984_new_york/1254/thumbnail.jp

Testing the Unfolding Theory of Turnover: Development of an Exit Survey

Understanding turnover has always been a concern for organizations. The costs of turnover to an organization are both direct and indirect, through financial and personnel consequences. By understanding why employees leave, organizations can create more effective retention strategies in hopes of keeping top talent. One theory of turnover, The Unfolding Theory, proposes that employees follow one of five cognitive pathways when deciding to leave an organization. Previous studies evaluating this theory have both methodological and administrative flaws, such as conducting interviews after employees leave the organization. The present study examined the Unfolding Theory by creating an exit survey based on all the aspects of the theory and administering the survey to 107 employees before leaving an organization. The results indicated that the Unfolding Theory does well to capture the processes employees engage in when deciding to leave an organization. However, the data also suggested that additional cognitive pathways may exist and that different groups of employees may have a higher prevalence for a particular pathway. The study discusses how organizations can utilize the findings to gather exit data more accurately, which will help to better understand why employees leave an organization