RDA Working on

Introduction

The group held a BoF session at Plenary 9, Barcelona, April 2017.

From the session description:

Advancing shared understanding of the relationship between data and information.

The proposed Global Water Information Interest Group (GWIIG) will serve as a platform leading to formation of RDA working group; as a venue for communication among RDA WGs and IGs focused on both technical eInfrastructure aspects (e.g. brokering; metadata and catalogs, dynamic data citation) and on related research domains (e.g. geosciences, agriculture, biodiversity); and as a coordination mechanism across a wide group of water information stakeholders, in particular those not previously involved in the OGC/WMO water standardization work.

The proposed Interest Group on “Health Data” (HD-IG) is a long-term initiative in the framework of RDA. It follows a rather successful BoF Session during the 6^th RDA Plenary Meeting in Paris, which was attended by over 35 researchers and professionals from diverse backgrounds, who discussed several relevant issues, expressed significant interest in forming the proposed Interest Group, and helped shape its focus as presented here.

The call for Indigenous data sovereignty (ID-Sov) —the right of a nation to govern the collection, ownership, and application of its own data—has grown in intensity and scope over the past five years. To date three national-level Indigenous data sovereignty networks exist: Te Mana Raraunga - Maori Data Sovereignty Network, the United States Indigenous Data Sovereignty Network (USIDSN), and the Maiamnayri Wingara Aboriginal and Torres Strait Islander Data Sovereignty Group in Australia. Similar initiatives are underway in Hawaii and Sweden.

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.

Given the increased value of research data as a national research asset, many countries are establishing national services to provide data services, coordination and support for research data storage, management, publication, reuse and sharing. The peers for such national data services are other national data services, and this interest group is intended as a peer support forum to exchange ideas and share experiences. The desired outcome is to increase efficiency for the individual operators of national data services and to promote a more coherent joined-up, informal federation cooperative of such services.

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.

Context and purpose

Introduction

The Research Data Architectures in Research Institutions Interest Group is primarily concerned with technical architectures for managing research data within universities and other multi-disciplinary research institutions. It provides insight into the approaches being taken to the development and operation of such architectures and their success or otherwise in enabling good practice.

Small Unmanned Aircraft Systems (sUAS) are rapidly becoming important tools for data capture across many Scientific domains, as well as within commercial industry.  sUAS have the potential to transform how data are captured in many arenas by, offering higher temporal and spatial resolutions, with less impact on the environments being monitored, and access to new locations and parameters.

Software source code plays a critical role in all fields of modern research, where source code is written and developed to address a variety of needs, like cleaning, processing and visualising data.

Software source code is a necessary component for research reproducibility and reusability.