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Working Groups

As stated in Article IIV of the WDS Constitution, the ‘WDS Scientific Committee may establish committees, working groups or task groups as needed to accomplish WDS goals and objectives’. WDS-WGs may be established to define, coordinate, and facilitate the implementation of projects or activities addressing the goals and objectives of ICSU-WDS.

Citizen Science for the SDGs – Aligning Citizen Science Outcomes to the UN Sustainable Development Goals

The overall objective of the TG on Citizen Science for the SDGs is to study the feasibility of aligning the data generated by Citizen Science projects and platforms to the specific requirements of the Result Framework proposed by the United Nations (UN) 2030 Agenda; namely, the indicators associated with the Sustainable Development Goals (SDG). This alignment would facilitate and encourage the inclusion of such data in the official monitoring of the SDGs at local, national, and global levels. Furthermore, the TG will complete the work of the prior CODATA–WDS TG on Citizen Science and the Validation, Curation, and Management of Crowdsourced Data.

Citizen Science for the SDGs – Aligning Citizen Science Outcomes to the UN Sustainable Development Goals -

Coordination and Support of International Research Data Networks

International research data networks are critical for progress in many scientific domains and underpin efforts to promote Open Science. At the same time, many of these networks are fragile and the responsibilities for their support and performance are frequently distributed across a variety of different actors. This working group explores the challenges and enablers for the effective functioning of international research data networks. It analyses the diversity and complexity of these networks, and issues such as governance and funding, in a selection of 32 cases. The published report includes a set of policy recommendations as a basis for building the shared understanding that is necessary to develop effective and sustainable international research data networks.

Coordination and Support of International Research Data Networks -

Publishing Data

In the empirical sciences, data has traditionally been an integral part of scholarly publishing. However, rapid technical developments—such as digital data and high-throughput techniques—changed the scholarly publishing paradigm dramatically in the last decades, which requires new approaches to ensure availability and usability of science data. Existing approaches to address this issue are mostly technically dominated and lack success because they do not supply the necessary benefit for data producers, the wider community, and society. The concept of Data Publication is undergoing a renaissance as part of scholarly communication and on the base of new and proven technologies. Publishing data is a new and strong incentive for scientist to share their data and has positive effects on the data quality. The impact on citation rates can be seen in recent bibliometric studies on science articles providing access to underlying data.

Publishing Data -