This Working Group (WG) was created to support Members of the World Data System who do not yet have a harvestable metadata catalogue. Having a harvestable metadata catalogue is a minimum requirement for being a WDS Member, is consistent with the FAIR principle that metadata are retrievable using a standardized communication protocol and is part of the CoreTrustSeal Requirement to facilitate machine harvesting of metadata. It is also important to WDS partners and the wider scientific community to make WDS data assets visible and findable in aggregator platforms such as OpenAire, PANGAEA, DataCite, and Google Dataset Search.
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.
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.
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.