Integrating innovative library e-reserves service into teaching and learning at Shanghai Jiao Tong University

Purpose: Fully integrating its e-reserves service into the university's course management system has become the primary design goal of the innovative e-reserves service system at Shanghai Jiao Tong University(SJTU) Library.Design/methodology/approach: Through blending library and information service into the teaching and learning process, SJTU Library has effectively combined its reserves service into the user learning environment. The main metadata model and the design of various interfaces of the e-reserves service system are introduced.Findings: E-reserves has been integrated into the course management system. Users can directly access relevant resources when they browse the customized course page. It is more convenient for teachers to add reserves items, and the added items can be made available simultaneously on SJTU Library's resource discovery platform automatically.Research limitations: At present, e-reserves items are mainly books, and more other types of reserves materials are needed to be provided. Some relevant copyright issues should be addressed.Practical implications: Using a series of interface interactions, the e-reserves service has been integrated into the university's course management system. It is convenient for students to access customized e-reserves service during their learning process.Originality/value: We achieved interconnection between the e-reserves and the university's course management system. Information on the e-reserves Web page is automatically updated.SJTU Library provides customized e-reserves service in the course management system.

Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data

Remote sensing data acquisition is one of the most essential processes in the field of Earth observation.However,traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required.To address this issue,this paper proposes a data acquisition framework that carries out remote sensing metadata planning and then realizes the online acquisition of large amounts of data.Firstly,this paper establishes a unified metadata cataloging model and realizes the catalog of metadata in a local database.Secondly,a coverage calculation model is presented,which can show users the data coverage information in a selected geographical region under the data requirements of a specific application.Finally,according to the data retrieval results and the coverage calcula-tion,a machine-to-machine interface is provided to acquire target remote sensing data.Experiments were conducted to verify the availability and practicality of the proposed frame-work,and the results show the strengths and powerful capabilities of our framework by overcoming deficiencies in traditional methods.It also achieved the online automatic acquisi-tion of large-scale heterogeneous remote sensing data,which can provide guidance for remote sensing data acquisition strategies.

A unified representation method for interdisciplinary spatial earth data

Unified representation of spatial earth data is an essential scientific issue.The analysis and mining of interdisciplinary spatial earth data resources can help discover hidden scientific knowledge,and even reveal the intrinsic relationship among different disciplines.However,the different description methods and inner structures among interdisciplinary spatial earth data bring significant chal-lenges to unified data management and collaborative analysis in earth environment research.To address this issue,this paper pro-poses a unified representation method for interdisciplinary spatial earth data.First,this paper establishes a general metadata model and realizes the unified description of interdisciplinary data.Second,an entity data organization model is presented,which can realize the unified organization of entity data with different inner structures.Finally,we introduce the Spatial Earth Data Format(SEDF),a data format based on HDF5 for implementing the data organization model of interdisciplinary spatial earth data.Data representation experiments and validation are conducted to verify the availability and practicability of the proposed data representa-tion method.The results suggest the powerful ability to represent spatial earth data efficiently and ensure data integrity,which is convenient for data management and application.