An Integrated Portal for Diverse Content and Applications

An Integrated Portal for Diverse Content and Applications Technologies and Functionalities of the Platform for Linked Science of the Deep Carbon Observatory Community All the complex IT concepts and architectures are hidden from the users, who browse and operate with friendly user interfaces on deepcarbon. net Xiaogang Ma, Yu Chen, Han Wang, Patrick West, John Erickson, Peter Fox Rensselaer Polytechnic Institute 110 8 th St. , Troy, NY, 12180 United States Abstract Deep Carbon Observatory-Data Science is assembling a Deep Earth Computer for the Deep Carbon Observatory (DCO). The efforts will create a fundamental change in the conduct of Carbon-related research, resting upon a 21 st century data science platform, and a series of aggregate data holdings that have never existed before. Data science combines aspects of informatics, data management, library science, computer science and physical science using cyberinfrastructure and information technology. The Deep Earth Computer we build provides these functions at minimum: an concept-type repository, an ability to identify and manage all key entities, agents and activities in the platform, a repository for archiving datasets and associated metadata, collaboration tools, and an integrated portal to manage diverse content and applications, with varied access levels and privacy options. The Deep Earth Computer sets up a platform for the Linked Science of the Deep Carbon Community, that is, not only scientific assets like data and methods behind scientific settings are opened and inter-connected, but also the people, organizations, groups, samples, instruments, activities, grants, meetings, etc. are recorded and inter-connected. Such a platform will promote collaborations among DCO community members, improve the openness and reproducibility of Carbon-related researches, and facilitate accreditation to resource (including publications, datasets, instruments, etc. ) contributors. Visualized Information Viewing “CKAN is a powerful data management system that makes data accessible – by providing tools to streamline publishing, sharing, finding and using data. CKAN is aimed at data publishers (national and regional governments, companies and organizations) wanting to make their data open and available. ” -http: //ckan. org “Drupal is an open source content management platform powering millions of websites and applications. It’s built, used, and supported by an active and diverse community of people around the world. ” -https: //drupal. org Information models provide domain level view and logical models implemented in ontology leverage a wide variety of vocabularies and encoding schemes. DCO ontology extends the VIVO ontology to make the “The Handle System is an infrastructure on which applications serving many different purposes have been built. Among the objects we know of that are identified by handles are journal articles, technical reports, books, theses and dissertations, government documents, metadata, distributed learning content, and data sets. ” -- http: //www. handle. net model more suitable for the DCO community needs. Current DCO members VIVO - represents academic research communities who have • Every person, organization, or other data entity in VIVO has a unique registered on identifier deepcarbon. n • VIVO enables the discovery of research and scholarship across et portal. disciplines at one institution or across many Each color • Records are both human-readable and machine-readable represents a • We have extended VIVO ontology to include the science network – community datasets, instruments, sites, etc. within DCO. • Feeding this back to VIVO The map is live – if a Community Data and Groups new user is registered, there will be • Key integrating concepts a new bubble • Groups on the map. • Formal Community Groups • Ad-hoc special purpose/ interest groups • Fine-grained access control and Another visualization under membership development now • Linked • All content can be tagged at a variety of level of detail • Incentives to contribute content • Content is visible in key reports – accepted by sponsors All information on the map is linked and traceable. Sponsors: AP Sloan Foundation Tetherless World Constellation Acknowledgments: DCO Data Science Team W 3 C Provenance Working Group Earth Science Information Partners • Knowledge network – implements both the collaboration and the integration • Many means of population • User generation • Machine generation • Substantially contributing these enhancements back to opensource community (CKAN, VIVO, GHS)