24 research outputs found

    The FAIR Guiding Principles for scientific data management and stewardship

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    There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community

    Bio-imaging Toolkit for Indexing, Searching, Navigation, Discovery and Annotation

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    Abstract. Bio-imaging toolkit is an application for biological imaging community that will bring in the latest efforts in indexing, searching, navigation, discovery, analysis and annotation for both biological image and video collections. This paper discusses both metadata-based and content-based representation, indexing, query-ing, navigation, discovery, and retrieval, as well as video segmentation and im-age/video annotations. It also discusses image retrieval by texture similarity, shape similarity, color similarity, and spatio-temporal relationships for the bio-imaging database. A highly interactive multimedia information retrieval system has been developed which is based on Service Oriented Architecture (SOA) that relies on the REST based web-service model to create efficient web components. Applica-tion designed is a light weight container application that can be deployed easily without any expertise and easy to understand for novice users.
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