RDA Groups

The goal of the WG is to reduce data management overhead within and between organisations working with wind energy. This will be done by firstly creating a recommendation “Guidelines for improving FAIR data maturity in wind energy in practice”. This will then be used to create a wind energy FAIR Implementation Profile (FIP)1 , which is a methodology developed within the GO FAIR initiative. FIP will give the scientific and research communities the opportunity to express their choices of standards, technologies, tools and procedures by which they fulfil the FAIR principles.

Objectives

Introduction: We are proposing a Chemistry Research Data Interest Group under the auspices of the Research Data Alliance (RDA), to foster diverse professional exchange on issues particular to data originating from the field of chemistry. Chemistry, as one of the central sciences, has fundamental impact on the fields of health, pharmaceuticals, materials, energy and many other applied sciences.

Building on the work of the Data Rescue IG, the Data Conservation IG will both expand scope to all types of data (both digital and analog), and focus on decision-making topics including:

• How are data sets prioritized for rescue or conservation?
• How are risk factors defined, assessed, and/or categorized?
• How is funding prioritized and/or secured?

More information will be added as the group moves forward. 

Introduction

Welcome to the RDA working space dedicated to Digital Twins.

Good Research Data Management (RDM) is a key component of research integrity and reproducible research. Consequently, funding bodies, governments, research institutions and other agencies have emphasised the value and importance of good data management. However, discussions about data management and sharing are sometimes limited to librarians, data professionals, or researchers who are already passionate about data stewardship and open science.

The FAIR Instrument Data Interest Group was conceived during a joint session at RDA P20.  We are working on the charter now.  If you want to be part of the forming group, join the mailing list!! 

We are also actively looking for co-chairs.  Please share your interest!!

A strategic element to maintaining a competitive advantage in research is by focussing energies in areas of innovation, which is facilitated by sharing of resources and support of inter-disciplinary collaborations at the national and international levels. The primary impediment to this resource sharing and collaboration is the lack of an effective FIM (Federated Identity Management) ecosystem.

The coordination of data infrastructure on various levels (country, continent, discipline, sector) is on the increase. So called “Open Science Commons” or “Data commons” provide a shared virtual space or platform that provides a marketplace for data and services.

Preparing for the 16th Plenary

The IG on Surveying Open Data Practices draws attention to the growth of global and national-level surveys as a lens to characterize how researchers’ practices and perceptions toward open data shape the knowledge ecology in different jurisdictions and disciplines.

The Linguistics Data Interest Group plans to identify, prioritize, and get to work on data challenges across the Linguistics domain. As a first step, this new group will focus P10 time on developing the discipline-wide adoption of common standards for data citation and attribution, and to improve research data management training in the discipline.

The National PID Strategies Interest Group aims to:

Physical samples are a basic element for reference, study, and experimentation in research.  Tests and analysis are conducted directly on samples, such as biological specimens, rock or mineral specimens, soil or sediment cores, plants and seeds, water quality samples, archaeological artefacts, or DNA and human tissue samples because they represent a wider population or a larger context. Other physical objects, such as maps or analogue images are also direct objects of study, and, if digitized, may become a source of digital data.

Aligning with RDA’s mission, the purpose of the Psychology RDA Interest Group (IG) is to raise awareness of the importance of data sharing, and to provide support with respect to the technical skills needed for FAIR data sharing within the Psychology community. This IG brings together Psychology researchers with an interest in open, transparent, and reproducible research methods and practices.

This IG starter out as a Working Group, to explore issues related to scientific research data sets that contains human subject information, as well as related datasets that have the potential to be combined in a way that can expose private information. The goal of the group is to develop a framework for how researchers and repositories should appropriately manage human-subject datasets, to develop a metadata set to describe the privacy-related aspects of research datasets, and to build awareness of the privacy implications of research data sharing.