10 Works

Persistent identifiers: Consolidated assertions

, , , Hossein Abroshan, Ari Asmi, Giuseppe Di Bernardo, Danielle Couvreur, Tamas Gaizer, Petr Holub, Rob Hooft, Ingemar Häggström, Manfred Kohler, Dimitris Koureas, Wolfgang Kuchinke, Luciano Milanesi, Joseph Padfield, Antonio Rosato, Christine Staiger, Dieter Van Uytvanck & Tobias Weigel
Experts from 47 European research infrastructure initiatives and ERICs have agreed on a set of assertions about the nature, the creation and the usage of Persistent Identifiers (PIDs). This work was done in close synchronisation with the RDA Data Fabric Interest Group (DFIG) ensuring a global validation of the assertions. The intention of this cross-disciplinary report is to overcome still existing confusions about PIDs and the lack of detail knowledge in many disciplines. It is...

RDA/TDWG Attribution Metadata Working Group: Final Recommendations

Anne E Thessen, Matt Woodburn & Dimitris Koureas
Research collections are an important tool for understanding the Earth, its systems, and human interaction. Despite the importance of collections, many are not maintained or curated as thoroughly as they should. Part of the reason for this is the lack of professional reward for curation, maintenance, or collection. To address this gap in attribution metadata, this Working Group recommends the use of PROV entities and properties to link people (Agent), the curatorial actions they perform...

The FAIRsharing Registry and Recommendations: Interlinking Standards, Databases and Data Policies

Peter McQuilton, Simon Hodson, Rebecca Lawrence &
This document describes the outputs of a joint RDA-Force11 FAIRsharing WG. 1. The FAIRsharing registry of interlinked records on standards (for identifying, reporting, citing data and metadata), databases (repositories and knowledge-bases) and data policies (from journals, publishers, funders and other organizations), ranging from the generic and multi-disciplinary, to those from specific domains. 2. The FAIRsharing recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these...

Norms for contributing to and using RDA products

The goal of the Research Data Alliance (RDA) is to accelerate international data-driven innovation and discovery by facilitating and removing barriers to research data sharing and exchange. RDA develops a variety of products that help realize this goal. RDA seeks to have these products, especially formal “RDA Recommendations,” to be broadly adopted and used openly and ethically. As such, RDA has developed this set of norms that should guide the use of RDA products in...

Array Databases: Concepts, Standards, Implementations - Recommendations of the RDA Array Database Assessment Working Group (ADA:WG)

Peter Baumann, Dimitar Misev, Vlad Merticariu, Bang Pham Huu, Brennan Bell &
The ADA:WG recommendations provide researchers, data centers, and industry with an overview on the state of the art on Array Database technology. Such technology is gaining interest currently for handling massive spatio-temporal sensor, image, simulation, and statistics data as so-called datacubes. Between September 2016 and March 2018, the ADA:WG has established an introduction to Array Database technology, a comparison of Array Database systems and related technology, a list of pertinent standards with tutorials, and comparative...

RDA Plenary Guidelines

This document describes the guidelines for hosting an RDA Plenary.

Addressing the Gaps: Recommendations for Supporting the Long Tail of Research Data

Wolfram Horstmann, Amy Nurnberger, Kathleen Shearer & Malcolm Wolski
Major societal challenges such as health, climate change, energy, food availability, migration and peace depend on the contributions of a distributed and diverse international network of researchers and subject experts. The aim of open science is to improve the accessibility of research outputs, including articles, data and other research objects, so that researchers, industry and the public can make use of, build on, and ensure the validity of these research outputs. Among research outputs, research...

Research Data Repository Interoperability WG Final Recommendations

Huge amounts of research data stored in a multitude of research data repository platforms can often only be used by a comparably small audience. On the one hand, this is caused by differences in semantics, underlying data models and metadata schemas, whose complexity and number prevents scientists from taking advantage of them. On the other hand, a lack of interoperability between research data repository platforms causes research data not to be used to their full...

Summary of Virtual Layer Recommendations

This output describes a concept for establishing a comprehensive network of components for the management of digital objects. The concept follows principles of layering and modularity and describes a set of key components required to realize a network for e-infrastructures in practice.

RDA Recommendation on PID Kernel Information

Tobias Weigel, Beth Plale, Mark Parsons, Gabriel Zhou, Yu Luo, Ulrich Schwardmann, Robert Quick, Margareta Hellström & Kei Kurakawa
Global middleware infrastructure is insufficient for robust data identification, discovery, and use. While infrastructure is emerging within sub- ecosystems such as the DOI ecosystem of services purposed for data and literature objects (i.e., DataCite, CHORUS, CrossRef), in general the layers of abstraction that have made the Internet so easy to build on, is lacking for data especially for computer (machine) automated services. The goal of the PID Kernel Information recommendation is to advance a small...

Registration Year

  • 2018

Resource Types

  • Text