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51.
Don MacMillan 《The Journal of Academic Librarianship》2014,40(5):541-549
Drawing from the literatures of science, scholarly communication, and librarianship, this review paper describes what librarians need to know about how scientists manage and share their data. It is intended to help librarians become more engaged and integral partners in research and education. Scientific data repositories, journal data deposition policies, and the development of persistent linking between scholarly publications and data sets, have made data more accessible. However, deposition and sharing practices still vary among researchers, journal publishers, data repositories, information providers, and universities. Understanding the dynamic relationships between these stakeholders is critical to providing relevant support to researchers and students in the sciences. Librarians need to develop skills that bridge traditional liaison work with the increasingly data-driven demands of scientific research, so that we can support researchers with their data management needs and help users discover data across myriad collections and resources. 相似文献
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Educational technology research and development - 相似文献
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Several statistical sampling methods are evaluated for estimating the total number of relevant documents in a collection for a given query. The total number of relevant documents is needed in order to compute recall values for use in evaluating document retrieval systems. The simplest method considered uses simple random sampling to estimate the number of relevant documents. Another type of random sampling, which assigns unequal selection probabilities to the individual documents in the collection, is also investigated. An alternative approach considered uses curve fitting and extrapolation, where a smooth curve is developed which relates precision to document rank. Another curve relates a function of precision to the query-document score. In either case, the curve is extrapolated to the total number of documents in order to estimate the number of relevant documents. Empirical comparisons are made of all three methods. 相似文献
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