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Open-ended survey questions can enable researchers to gain insights beyond more commonly used closed-ended question formats by allowing respondents an opportunity to provide information with few constraints and in their own words. Open-ended web probes are also increasingly used to inform the design and evaluation of survey questions. However, open-ended questions are more susceptible to insufficient or irrelevant responses that can be burdensome and time-consuming to identify and remove manually, often resulting in underuse of open-ended questions and, when used, potential inclusion of poor-quality data. To address these challenges, we developed and publicly released the Semi-Automated Nonresponse Detection for Survey text (SANDS), an item nonresponse detection approach based on a Bidirectional Transformer for Language Understanding model, fine-tuned using Simple Contrastive Sentence Embedding and targeted human coding, to categorize open-ended text data as valid or likely nonresponse. This approach is powerful in that it uses natural language processing as opposed to existing nonresponse detection approaches that have relied exclusively on rules or regular expressions or used bag-of-words approaches that tend to perform less well on short pieces of text, typos, or uncommon words, often prevalent in open-text survey data. This paper presents the development of SANDS and a quantitative evaluation of its performance and potential bias using open-text responses from a series of web probes as case studies. Overall, the SANDS model performed well in identifying a dataset of likely valid results to be used for quantitative or qualitative analysis, particularly on health-related data. Developed for generalizable use and accessible to others, the SANDS model can greatly improve the efficiency of identifying inadequate and irrelevant open-text responses, offering expanded opportunities for the use of open-text data to inform question design and improve survey data quality.

Via four strategically designed pilot use cases coordinated in Bulgaria, Italy, Spain and the United Kingdom, PolicyCLOUD is delivering a unique, integrated environment of curated datasets and data manipulation and analysis tools of fundamental importance to stakeholders across Europe. The aim of Policy Cloud is to harness the potential of digitisation, big data, and cloud technologies to improve the modelling, creation, and implementation of policy. The digitisation of the global economy and society affects all sectors, is at the heart of the EU's political agenda and is necessary if we are to maintain our competitiveness. Having common ICT standards is one of the measures needed to ensure that European industries are at the forefront of developing and exploiting ICT technologies: they ensure interoperability and guarantee that such technologies work smoothly and reliably together. This will become increasingly important as in the future many more devices will be connected to each other, as defined in the EC Rolling Plan for ICT Standardisation. The European Commission proposes to focus standard-setting resources and communities on five priority areas: 5G, Internet of Things, cloud computing, cybersecurity, and data technologies, all essential for wider EU competitiveness, as defined in its 2021 Rolling Plan for ICT Standardisation1 PolicyCLOUD has defined a dedicated task on standardisation, contributing to European ICT standardisation. After a State-of-the-Art Landscape analysis of standardisation in the Context of EU policymaking in the ICT fields related to the PolicyCLOUD project. The document proceeds with the mapping of partners' use of standards related to their work in PolicyCLOUD, their engagement in relevant Standards Developments Organisations or related initiatives. This Standardisation Plan and Activities document details the specific activities to be implemented and the stakeholder groups to be targeted to foster the PolicyCLOUD alignment with global standards. Standards and Open-Source ...

The EOSC Symposium 2021 provided a key engagement opportunity for the EOSC community after the European Open Science Cloud finally entered its highly-anticipated implementation phase in 2021. Delivered online to just under 1,000 EOSC stakeholders from over 63 different countries, this was not only the largest EOSC Symposium yet, but it was also an essential opportunity for convergence and alignment on principles and priorities. The EOSC Association will play an important role in this phase. With already over 210 member and observer organisations from across Europe, the Association represents a single voice for the advocacy and representation of the broader EOSC Stakeholder community in Europe, promoting alignment of EU research policy and priorities. The Association will continuously develop the EOSC Strategic Research and Innovation Agenda (SRIA) which will influence future EOSC activities at institutional, national and EU level (including the EOSC-related work programmes in Horizon Europe). This living document will adapt to the changing EOSC ecosystem and the needs of EOSC stakeholders. The Association is setting up a series of Advisory Groups (AG) with Task Forces (TF) to engage with the EOSC community around priority areas, namely: Implementation of EOSC Metadata and Data Quality Research Careers and Curricula Sustaining EOSC Technical Challenges on EOSC The Symposium was the first opportunity for the Association to present the draft charters of the Task Forces. A key objective of the event was also for the Association to understand what work has been carried out, is in progress, or is planned on the topics of the AGs and TFs. A call for contributions ran throughout May 2021, with a total of 137 applications received. Through presentations, lightning talks, and panels, over 70 community members were able to highlight key findings and recommendations for the AGs and TFs to take into consideration for their work.