Upcoming DataCite Webinars
Repository Implementation Webinar - Wednesday, March 26, 2019, 17:00-18.00 CET
Join us on March 26th at 17.00 CET for a webinar on repository implementation of our COUNTER Code of Practice for Research Data and Make Data Count recommendations. This webinar will feature a panel of developers from repositories that have implemented or are about to release standardized data metrics: Dataverse, Dryad, and Zenodo. We will interview each repository on their implementation process. This recorded discussion between our technical team and repositories, providing various perspectives of implementation, should be a helpful guidance for any repository interested in implementing!
To register for the webinar, fill out this form.
Google Dataset Search - Wednesday, November 28, 2018, 17:00-18:00 CET
Dataset Search enables users to find datasets across thousands of repositories on the web. They range from various scientific disciplines, such as environmental or social science, to government or economic data from around the world. I will discuss the ideas behind Dataset Search, the open ecosystem for describing and citing datasets that we hope to encourage, and the technical details on how we went about building Dataset Search.
Speaker: Natasha Noy
Natasha Noy is a scientist at Google where she works on making structured data accessible and useful. Currently she leads the team building Google Dataset Search. Prior to joining Google, Natasha worked at Stanford Center for Biomedical Informatics Research where she made major contributions in the areas of ontology development and alignment, and collaborative ontology engineering.
Data Citation Roadmap for Scholarly Data Repositories - Thursday, February 23, 2017, 16:00-17:00 CET
This webinar will present the roadmap for scholarly data repositories to implement data citation developed by the Repositories Early Adopters Expert Group, part of the Data Citation Implementation Pilot (DCIP) FORCE11 project.
In accordance with the Joint Declaration of Data Citation Principles, the roadmap makes 11 specific recommendations, grouped into three phases of implementation. You can find the Data Citation Roadmap here (BioRXiv): https://doi.org/10.1101/097196.
Speakers: Tim Clark, Mercè Crosas, Martin Fenner
Tim Clark is a researcher in biomedical informatics with over 24 years of experience in the field. He is Director of Informatics at the MassGeneral Institute for Neurodegenerative Disease; Assistant Professor of Neurology at Harvard Medical School; directs the MGH Biomedical Informatics Core; and co-directs the Data and Statistics Core at the Massachusetts Alzheimer Disease Research Center. Dr. Clark is also a Founding Editorial Board member of the journal Briefings in Bioinformatics, and an Advisory Board member for the journal F1000 Research.
Mercè Crosas is the Chief Data Science and Technology Officer at the Institute for Quantitative Social Science (IQSS) at Harvard University. Together with the Director of IQSS, she leads the vision and strategic direction of all software projects at IQSS, including the Dataverse project for data sharing and archiving, the Zelig project for statistical analysis, and the Consilience project for text analysis. Her team includes data science specialists who offer training and consulting, as well as information scientists with usability, data curation and data management who provide expertise on these areas to all IQSS data projects.
Martin Fenner envisions, develops, implements and manages a robust technical architecture for DataCite as well as DataCite’s technical contributions for the EU-funded THOR project. Until 2015 he was technical lead for the PLOS Article-Level Metrics project. He served on the Board of the Open Researcher and Contributor ID (ORCID) initiative from 2010-2012, and worked for ORCID EU in the EU-funded ODIN project from 2012 to 2013. Martin has a medical degree from the Free University of Berlin and is a Board-certified medical oncologist.
Software Citation Principles - Monday, November 14, 2016, 16:00-17:00 CET
Daniel S. Katz (Assistant Director for Scientific Software and Applications at the National Center for Supercomputing Applications, University of Illinois) will talk about the FORCE 11 Software Citation Principles, their implementation and impact.
Smith AM, Katz DS, Niemeyer KE, FORCE11 Software Citation Working Group. (2016) Software Citation Principles. PeerJ Computer Science 2:e86. http://doi.org/10.7717/peerj-cs.86.
Software is a critical part of modern research and yet there is little support across the scholarly ecosystem for its acknowledgement and citation. The FORCE11 Software Citation Working Group reviewed the existing community practices and produced a consolidated set of citation principles that may encourage broad adoption of a consistent policy for software citation across disciplines and venues.
This webinar will cover the software citation principles, existing community practice, requirements for different stakeholders and possible technical solutions for how these principles can be implemented.
Speaker: Dan Katz
Dynamic Data Citation Webinar - Tuesday, July 12th, 2016 at 5:00 PM CEST
There is a strong need for data identification and citation mechanisms that identify arbitrary subsets of large data sets with precision in a machine-actionable way. These mechanisms need to be user-friendly, transparent, machine-actionable, scalable and applicable to various static and dynamic data types.
The Research Data Alliance (RDA) Dynamic Data Citation Working Group developed a set of recommendations based on dynamic resolution of a datacitation via a time-stamped query also known as 'Dynamic Data Citation'. They cover:
- Data Versioning
- Data Timestamping
- Data Identification
Speaker: Andreas Rauber
Dr. Andreas Rauber (Institute of Software Technology and Interactive Systems, Vienna University of Technology) co-chairs the RDA Data Citation WG. In this session, he will guide us through the results of the WG and the Recommendations for Dynamic Data Citation.
Metadata Schema 4.0 Webinar - Thursday, June 30th, 2016 at 5:00 PM CEST
The DataCite Metadata Working Group has developed the new DataCite Metadata Schema 4.0: http://schema.datacite.org/meta/kernel-4/. Version 4.0 comes with improvements on name identifiers, funding information, resource types and others. These changes are key to make your data discoverable and reusable, and to grant proper credit to its authors. Agenda:
- Introduction to the DataCite Metadata Schema
- Version 4.0 changes and updates
- Integration and testing
Speakers: Joan Starr, Martin Fenner
Zotero for Data Repositories Webinar - Tuesday, May 10, 2016 at 5:00 PM CEST
Sebastian Karcher is the associate director of the Qualitative Data Repository, where he works on data sharing for qualitative social science research. He is an expert on scholarly referencing and citation workflows and has been a longtime contributor to the Citation Style Language as well as Zotero, the open source reference management software. In this webinar, he will provide us insights about how Zotero fetches metadata from data repositories. He will cover several examples such as Dataverse or Dryad Digital Repository and explain how repositories can facilitate integration with reference managers in general and Zotero specifically. The webinar will also include pointers for individuals interesting in contributing to the Zotero translator infrastructure.
Speaker: Sebastian Karcher
DC2AP and DC2RDF Webinar - Tuesday, April 12, 2016 at 4:30 PM CEST
The DataCite Metadata Working Group has prepared a DataCite to Dublin Core application profile (DC2AP) and a DataCite Ontology (DC2RDF) and would love to hear your comments about it! The profile will help you building Dublin Core compatible DataCite metadata records, using Dublin Core Metadata Initiative (DCMI) metadata terms and other ontologies.
The Metadata Working Group seeks public review as the first step to become a DCMI Community Specification. Feedback from potential users and developers is strongly encouraged and it will help us improving the interoperability and quality of DataCite’s metadata.