RDA Working on

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.

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.

In 2007 the world’s population became more urban than rural according to the United Nations. Urban Quality of Life (QoL) is the general well-being of individual and societies living in cities. As there is a growing number of the world's population moving into cities there is increasing importance for the need for urban QoL indicators that can benchmark and enable comparative analysis in and between cities so that the social, environmental, economic and cultural dimensions can utlimately be improved.

This interest group seeks to advance and enable reproducibility in research based on or producing datasets. Our goals are to provide community based recommendations and infrastructure solutions, doing so in coordination with the other RDA Working and Interest Groups where appropriate.

SHARC is now a recognised and endorsed interest group within RDA (Research Data Alliance).  It is seeking to unpack and improve crediting and rewarding mechanisms in the data/resources sharing process

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.