PPT-Collaborative Data Sharing with Mappings and Provenance

Author : olivia-moreira | Published Date : 2017-08-29

Todd J Green University of Pennsylvania Spring 2009 The Case for a Collaborative Data Sharing System CDSS Scientists build data repositories need to share with

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Collaborative Data Sharing with Mappings and Provenance: Transcript

Todd J Green University of Pennsylvania Spring 2009 The Case for a Collaborative Data Sharing System CDSS Scientists build data repositories need to share with collaborators Goal import transform modify curate each others data. Mappings and Provenance. Todd J. Green. Grigoris Karvounarakis Zachary G. Ives Val Tannen. University of Pennsylvania. VLDB 2007 Vienna, Austria. September 26, 2007. Adoption of data integration tools. Ontologies. A specification of a conceptualization (Gruber, 1993). Design: . Subjective . Depends on the purpose they serve, the aspect(s) they cover . Ontologies Mismatches. Different Types:. Conceptualization . Why – How . – . Where. What’s up with this presentation?. Cannibalized from:. Val . Tannen’s. EDBT and AMW 2010 tutorials. Peter . Buneman. and Wang-. Chiew. Tan’s SIGMOD 2007 tutorial. Julie and . . Session 6: Interoperability. Session 6: Aims. In this session, you will learn about:. Steps towards interoperability. Interoperability challenges. Next steps towards . achieving . interoperability. Susan B. Davidson. University of Pennsylvania. Joint work with . Zhuowei. . Bao. , . Xiaocheng. Huang and . Tova. Milo . Provenance in Scientific Workflows. Scientific workflow systems. Automate the execution of scientific workflows. Materialized Instances After Changes to Mappings and Data. Todd J. Green. Zachary G. Ives. ICDE ’12 Washington, DC April 2, 2012. &. Change is a Constant in Data Management. Databases are highly . Research and data at the . Freer|Sackler. Jeffrey Smith. Assistant Registrar for Collections Information. Freer|Sackler. smithje@si.edu. | 202-633-0348. 21. st. –Century Digital Provenance. Carnegie Museum of Art Pittsburgh, Pennsylvania. Vagelis. . Hristidis. Eduardo Ruiz. 1. Collaborative Adaptive Data Sharing - FIU. Motivation. Many application domains where . users . collaborate and share domain-specific information. .. Disaster Management. HITPC Consumer Empowerment Workgroup Meeting. July 28, 2013. . . . . . . Joy Pritts, JD. Data Provenance. What is “Provenance”? . Origin of clinical information when first created. Information about the source of the data. Wenchao. Zhou. *. , . Qiong. . Fei. *, . Arjun. . Narayan. *, . Andreas . Haeberlen. *, Boon . Thau. Loo*, Micah . Sherr. . *. University of Pennsylvania . . Georgetown University. http://snp.cis.upenn.edu/. CADS: A Collaborative Adaptive Data Sharing Platform Vagelis Hristidis Eduardo Ruiz 1 Collaborative Adaptive Data Sharing - FIU Motivation Many application domains where users collaborate and share domain-specific information 5/21/2018. 1. UW. Val Tannen. University of Pennsylvania. . 5/21/2018. 2. UW. . Collaborators. . ORCHESTRA. . . Life Sciences . Linked Open Data Cloud. Ali . Hasnain et. al. Insight . Center for Data . Analytics. . National University of Ireland, . Galway. Agenda. Motivation. Linked Life Sciences Roadmap. Cataloguing and Linking. Giovanni . Fosti. *, . Francesco Longo, Elisabetta Notarnicola. g. iovanni.fosti@unibocconi.it. CeRGAS. Centre for . Research. on Health and Social Care Management. 4th . International Conference on Evidence-based Policy in Long-term Care .

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