Date to be confirmed
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.
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.
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
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 data citation via a time-stamped query also known as 'Dynamic Data Citation'. They cover:
- Data Versioning
- Data Timestamping
- Data Identification
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.
The DataCite Metadata Working Group has developed the new DataCite
Metadata Schema 4.0:
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.
- Introduction to the DataCite Metadata Schema
- Version 4.0 changes and updates
- Integration and testing
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.
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.