Ecologists collect and evaluate data from all possible data sources, sources of objective (mostly quantitative) data, like measurements and simulation results and sources of subjective (often only imprecise qualitative) information, like subjective estimations obtained from an expert. Not all ecological parameters are measurable, for example, the number and biomass of fi sh in a particular lake...

objective: the main purpose of present research was to identify strategic factors influencing to the development of digital libraries in iran.method: research method of this study is grounded theory, which we use systematic method. the study sample consisted of professionals and experts in the field of digital library, and semi-structured interviews used to collect data to achieve theoretical s...

abstract this study aims to explore the impact of human resources investment on competitive advantage that incorporates human capital as a mediator variable. for this purpose a questionnaire was designed to collect data of the research variables. validity and reliability of measurement instruments was obtained using confirmatory factor analysis. questionnaire was then distributed among a sample...

To utilize the full potential of structured or semi-structured data stored across different information systems, users and applications must not be confronted directly with the individual, heterogeneous data sources, but instead be supplied with a customized integrated view on the data. Traditional information integration is relying on a human-driven process to accomplish this task. While feasi...

International comparative studies constitute a highly valuable contribution to public policy research. Analysing different policy designs offers not only a mean of knowing the phenomenon itself but also gives us insightful clues on how to improve existing practices. Although much of the work carried out in this realm relies on quantitative appraisal of the data contained in international databa...

Functionally interlinking datasets is essential for knowledge discovery. The ‘Bring Your Own Data’ workshop (BYOD) has proven an excellent tool for the adoption of techniques to achieve this. It provides a mechanism for data owners who would like to add value to their data by preparing them for data integration and computational analysis, but are unfamiliar with basic techniques to make data Fi...