Authors : Sam Grabus, Jane Greenberg
Over the last twenty years, a wide variety of resources have been developed to address the rights and licensing problems inherent with contemporary data sharing practices.
The landscape of developments is this area is increasingly confusing and difficult to navigate, due to the complexity of intellectual property and ethics issues associated with sharing sensitive data.
This paper seeks to address this challenge, examining the landscape and presenting a Version 1.0 directory of resources. A multi-method study was pursued, with an environmental scan examining 20 resources, resulting in three high-level categories: standards, tools, and community initiatives; and a content analysis revealing the subcategories of rights, licensing, metadata & ontologies.
A timeline confirms a shift in licensing standardization priorities from open data to more nuanced and technologically robust solutions, over time, to accommodate for more sensitive data types.
This paper reports on the research undertaking, and comments on the potential for using license-specific metadata supplements and developing data-centric rights and licensing ontologies.
URL : The Landscape of Rights and Licensing Initiatives for Data Sharing
DOI : http://doi.org/10.5334/dsj-2019-029
Authors : Kai Li, Jane Greenberg, Jillian Dunic
The data paper, an emerging scholarly genre, describes research datasets and is intended to bridge the gap between the publication of research data and scientific articles. Research examining how data papers report data events, such as data transactions and manipulations, is limited.
The research reported on in this paper addresses this limitation and investigated how data events are inscribed in data papers. A content analysis was conducted examining the full texts of 82 data papers, drawn from the curated list of data papers connected to the Global Biodiversity Information Facility (GBIF).
Data events recorded for each paper were organized into a set of 17 categories. Many of these categories are described together in the same sentence, which indicates the messiness of data events in the laboratory space.
The findings challenge the degrees to which data papers are a distinct genre compared to research papers and they describe data-centric research processes in a through way.
This paper also discusses how our results could inform a better data publication ecosystem in the future.
URL : Data objects and documenting scientific processes: An analysis of data events in biodiversity data papers
Alternative location : https://arxiv.org/abs/1903.06215