Documenting The Future Navigating Provenance Metadata Standards
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Documenting the Future: Navigating Provenance Metadata Standards
This book explores provenance, the study and documentation of how things come to be. Traditionally defined as the origins, source, or ownership of an artifact, provenance today is not limited to historical domains. It can be used to describe what did happen (retrospective provenance), what could happen (subjunctive provenance), or what will happen (prospective provenance). Provenance information is ubiquitous and abundant; for example, a wine label that details the winery, type of grape, and country of origin tells a provenance story that determines the value of the bottle. This book presents select standards used in organizing provenance information and provides concrete examples on how to implement them. Provenance transcends disciplines, and this book is intended for anyone who is interested in documenting workflows and recipes. The goal is to empower readers to frame and answer provenance questions for their own work. Provenance is increasingly important in computational workflows and e-sciences and addresses the need for a practical introduction to provenance documentation with simple-to-use multi-disciplinary examples and activities. Case studies and examples address the creation of basic records using a variety of provenance metadata models, and the differences between PROV, ProvONE, and PREMIS are discussed. Readers will gain an understanding of the uses of provenance metadata in different domains and sectors in order to make informed decisions on their use. Documenting provenance can be a daunting challenge, and with clear examples and explanations, the task will be less intimidating to explore provenance needs.
Information for a Better World: Normality, Virtuality, Physicality, Inclusivity
This two-volume set LNCS 13971 + 13972 constitutes the refereed proceedings of the 18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, held in March 2023. The 36 full papers and the 46 short papers presented in these proceedings were carefully reviewed and selected from 197 submissions. They cover topics such as: Archives and Records, Behavioral Research, Information Governance and Ethics, AI and Machine Learning, Data Science, Information and Digital literacy, Cultural Perspectives, Knowledge Management and Intellectual Capital, Social Media and Digital Networks, Libraries, Human-Computer Interaction and Technology, Information Retrieval, Community Informatics, and Digital Information Infrastructure.
Navigating the Landscape of FAIR Data Sharing and Reuse: Repositories, Standards, and Resources
Author: Maaike M. H. Van Swieten
language: en
Publisher: Frontiers Media SA
Release Date: 2024-03-08
The huge volume of neuroscience data and the wide variety of data formats generated across different neuroscience communities has posed a challenge to traditional methods of data management, data sharing and data mining. Mandates on data sharing and the demand for using open data has driven the development of advanced methodologies and tools to effectively explore, mine and integrate data. However, the growing number of resources make it harder for researchers to navigate this landscape. Awareness of these tools and resources is vital for effective data mining and unlocking new discoveries. The goal of this research collection is to provide an overview of available resources, centred around making data findable, accessible, interoperable and reusable (FAIR).