PPT-A CHAIN-REDS Perspective about Data Access and Metadata Man

Author : alexa-scheidler | Published Date : 2016-06-30

Rafael MayoGarcía CIEMAT Tunis 1213 Dec 2013 A CHAINREDS Perspective about Data Access and Metadata Management Roberto Barbera ab Carla Carrubba b Giuseppina

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A CHAIN-REDS Perspective about Data Access and Metadata Man: Transcript

Rafael MayoGarcía CIEMAT Tunis 1213 Dec 2013 A CHAINREDS Perspective about Data Access and Metadata Management Roberto Barbera ab Carla Carrubba b Giuseppina Inserra b Christos Kanellopoulos. 1. Kerstin Lehnert. 2. Data from Samples. Distributed data acquisition. Different labs/researchers analyze the same sample or subsamples of it.. Distributed data publication. Different data for the same sample are published in different papers.. Rafael Mayo García (CIEMAT). e-AGE Conference, Muscat. , Oman. 10-11 December 2014. Coordination. & . Harmonisation. . of. . Advanced. . eINfrastructures. CHAIN. CHAIN-REDS: A legacy from CHAIN. A Business Perspective. Wendy Thomas – Minnesota Population Center. Marcel . Hebing. – German Socio-Economic Panel Study (SOEP), DIW Berlin. EDDI 2012. EDDI-2012_Business by Wendy Thomas and Marcel . 2016. Issues . in l. anguage documentation and revitalisation. Peter K. Austin. Department of Linguistics. SOAS, University of London. 2016-02-08. Outline. L. anguage documentation and language revitalisation. GFZ German Research . Centre. . for. . Geosciences. GFZ Data Services. The relevance of documentation for the reuse of published datasets. ……. and. . many. . more. Open Research Data – . an international . Question 1. In your view/experience what parts of data life cycle, data citation and data integration implementations/applications or frameworks are well established (or not) in your disciplines and what are the common gaps?. Study. Summary Charts. March – July 2012. Agenda. Study Overview. Respondent Summary. Supply Chain Excellence. IT Systems and Trends. Study Overview. Agenda. Study Overview. Respondent Summary. Supply Chain Excellence. A Business Perspective. Wendy Thomas – Minnesota Population Center. Marcel . Hebing. – German Socio-Economic Panel Study (SOEP), DIW Berlin. EDDI 2012. EDDI-2012_Business by Wendy Thomas and Marcel . Sherry Lake, Senior Data Consultant. Bill Corey, Data Consultant. Jeremy . Bartczak. , . Intellectual Access . & . Metadata Services Librarian. © . 2013 . by the Rector and Visitors of the University of Virginia.. Examples: DOBES and CLARIN. Peter Wittenburg. Max Planck Institute for Psycholinguistics . DOBES – what is it?. international collaboration documenting cultures and languages since 2000 . about 65 teams, about 100 languages/cultures. Lesson 3: Data Management Planning. CC image by Joe Hall on . Flickr. What is a data management plan (DMP)?. Why prepare a DMP?. Components of a DMP. Recommendations for DMP content. Example . of NSF DMP. A. nd here!. A. nd here!. Integration goals. M. a. ke it possible to query data published through the VO.. Currently the implementation is basically a proof of concept (using ADQL).. This is only covering a subset of TAP services, which is a limited set. . Mary Vardigan. Assistant Director, ICPSR. Director, DDI Alliance. Metadata Portal Project. NSF-funded project to improve metadata for the General Social Survey and American National Election . Study . FaceBase. Laura Pearlman. University of Southern California, Information Sciences Institute. FaceBase. Bootcamp for Users and Contributors, September 28, 2023. Planning for Data Management – Why bother?.

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