World Data System

The information provided in the Intergovernmental Panel on Climate Change (IPCC; <a href="http://ipcc.ch" target="_blank">http://ipcc.ch</a>) Assessment Reports (ARs) inform climate change policy development. Within the IPCC the scientific coordination of the ARs is conducted by three Working Groups (WGs) comprising of the Bureaus supported by their Technical Support Units (TSUs). Data management support is provided by the IPCC Data Distribution Centre (DDC; <a href="http://ipcc-data.org" target="_blank">http://ipcc-data.org</a>), which is overseen by the Task Group on Data Support for Climate Change Assessments (TG-Data; formerly TGICA). The DDC is a federated structure that is currently managed by the Centre for Environmental Data Analysis (CEDA; <a href="http://www.ceda.ac.uk/" target="_blank">http://www.ceda.ac.uk/</a>), United Kingdom; the World Data Center for Climate (WDCC; <a href="http://www.wdc-climate.de" target="_blank">http://www.wdc-climate.de</a>), Germany; and the Center for International Earth Science Information Network (CIESIN; <a href="http://www.ciesin.columbia.edu/" target="_blank">http://www.ciesin.columbia.edu/</a>) at Columbia University, U.S. For the IPCC Sixth Assessment cycle (AR6), analyses of climate simulations and observations published in scientific literature will be assessed. The reports will include figures and tables prepared from the underlying digital information. The DDC plays an increasingly important role in facilitating the exchange of data, as well as curating the assessed datasets, scripts and provenance records to facilitate the assessment process and to support the traceability of AR6 results through long-term continuity of data management and curation. These issues, among others, are addressed by the DDC support group (<a href="https://cedadev.github.io/ipcc_ddc" target="_blank">https://cedadev.github.io/ipcc_ddc</a>) currently consisting of members from the three TSUs and the three DDC managers.

The CODATA&nbsp;Data Science Journal&nbsp;is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.All data is in scope, whether born digital or converted from other sources.

This report serves as an update to the 2017 Data Management Position Paper submitted to Innovation, Science and Economic Development Canada (ISED) by the Leadership Council for Digital Research Infrastructure (LCDRI). The report summarizes the Research Data Management (RDM) landscape in Canada, and documents challenges and opportunities for the current RDM ecosystem and Digital Research Alliance of Canada (the Alliance). The intent of this work is to position the Alliance to build on the current state and chart a path forward that advances RDM in coordination with other digital research infrastructure (DRI) elements to support research excellence. The report summarizes key RDM entities in the Canadian landscape at local, national, and international scales, and organizes the multiple roles they play in the ecosystem into key components necessary to support RDM nationally.

Belmont Forum e-Infrastructures &amp; Data Management Community Strategy and Implementation Plan. Global change research enables scientists to understand and predict how our planet functions and evolves. This research requires integrating large amounts of diverse data across scientific disciplines to deliver policy-relevant, decision-focused knowledge that decision makers require to respond and adapt to global environmental change and extreme hazards, manage natural resources responsibly, grow our economies, and limit or even escape poverty. To carry out this research, data sets need to be discoverable, accessible, usable, curated and preserved for the long-term, within a supporting data intensive e-infrastructure framework that enables their exploitation, and that evolves in response to research needs and technological innovation. Without such data sets and supporting e-infrastructure, the community will be forced to feel our way into the future, unfocused and ill-prepared.<br> An e-infrastructure that supports data-intensive, multidisciplinary research is needed to facilitate new discoveries and accelerate the pace of science to address 21st century global change challenges. Data discovery, access, sharing and interoperability collectively form core elements of an emerging shared vision of e-infrastructure for scientific discovery. These elements further depend on building relationships among data sets, people, systems, organizations and networks. However, the pace and breadth of change in data and information management across the data lifecycle means that no one country or institution can unilaterally provide the leadership and resources required to use data and information effectively, or establish and maintain the relationships needed to support a coordinated, global e-infrastructure.<br> The Belmont Forum represents many of the world’s largest and most influential funders of environmental and social science research. It is uniquely capable of catalyzing international collaboration and leveraging existing national programs to effectively initiate and guide best practice in data stewardship, data sharing, and e-infrastructure development to meet global change research needs. Furthermore, alignment of international and cross-domain efforts in interoperability will promote new interdisciplinary and international scientific understanding relevant to the Belmont Forum research agenda. As such, the Belmont Forum is ideally poised to play a vital and transformative leadership role in establishing a sustained human and technical international data e-infrastructure to support global change research. This Community Strategy and Implementation Plan (CSIP) presents an initial path forward.

Minimally, a research data repository exists to make a collection of data assets available to potential users. If a dataset cannot be discovered and found, it cannot be reused (Garnett et al. 2017). Harvestable metadata catalogues are a key strategy for achieving greater global findability of data assets, as they create a surveyable access point to discover data products within large data collections. Such catalogues can be especially effective if they are tailored for interoperability with feature-rich infrastructures (e.g. meta-catalogues, see Kapiszewski &amp; Karcher 2020; CRFCB 2014) that are highly visible and widely used, and also themselves integrated within the larger ecosystem of research infrastructures. This study offers insight into a set of World Data System (WDS) research data repositories ongoing and successful implementations of harvestable metadata services, which apply established and emerging research data standards and practices to fit global, local and domain-specific interoperability contexts. Establishing a harvestable metadata service involves making choices in a space where standards and technologies are continuously evolving. The repositories in this study leverage the resources they have, within the policy and funding constraints of their institution, to serve the changing needs of heterogeneous user groups. This document encapsulates and completes the work that was carried out by the WDS International Technology Office (ITO) Harvestable Metadata Services Working Group (HMetS-WG).

The Data Seal of Approval (DSA) and the International Council for Science’s World Data System (ICSU-WDS) have both developed core certification standards for trustworthy digital repositories and offer their own certification services. However, whilst the DSA and WDS core certifications standards evolved independently, their catalogues of criteria and their review procedures are based on the same principles of openness, transparency, and striking the right balance between the simplicity and robustness of the work and effort involved. A DSA–WDS Partnership Working Group (WG) was initiated under the umbrella of the Research Data Alliance (RDA) with the objectives of realizing efficiencies, simplifying assessment options, stimulating more certifications, and increasing impact on the community. The WG delivered a harmonized DSA–WDS Catalogue of Common Requirements for core certification of repositories, as well as a set of Common Procedures for their assessment. This unified certification standard will be adopted by the two organizations, and integrated into relevant tools and systems, before the end of 2016.

Ce rapport est une mise à jour de l’exposé de position sur la gestion des données que le Conseil du leadership sur l’infrastructure de recherche numérique a présenté à Innovation, Sciences et Développement économique Canada en 2017. Il résume le paysage de la gestion des données de recherche (GDR) au Canada et décrit les points forts, les enjeux et les perspectives d’avenir de l’écosystème actuel de la GDR et de l’Alliance de recherche numérique du Canada (l’Alliance). Ce document vise à permettre à l’Alliance de fonder sa démarche sur l’état actuel de la GDR et d’établir les mesures qu’elle compte prendre pour renforcer la GDR en coordination avec les autres composantes de l’infrastructure de recherche numérique en vue de soutenir l’excellence en recherche. Il résume les principaux concepts de GDR qui composent le paysage canadien à l’échelle locale, nationale et internationale, tout en classant les multiples rôles qu’ils jouent dans l’écosystème en fonction des éléments clés nécessaires pour soutenir la GDR au Canada.

PARSEC Data and Digital Output Management Plan and Workbook for the Belmont Forum Collaborative Research Action (CRA) Science-driven e-Infrastructure Innovation (SEI) for the Enhancement of Transnational, Interdisciplinary and Transdisciplinary Data Use in Environmental Change <strong>Project Building New Tools for Data Sharing and Reuse through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC)</strong> This Data and Digital Output Management Plan and Workbook (DDOMP) are used by the PARSEC team to establish the policies the team will follow, document the operational procedures necessary to comply with those policies, and the planned activities necessary to manage PARSEC data, software, and other digital outputs. This is a working document. This document describes activities necessary during the PARSEC research lifecycle as well as those necessary to preserve all digital outputs for use into the future. It is the intent of the PARSEC team to make our digital outputs as open as possible, discoverable, accessible, well-documented to promote the broadest reuse. These elements are both recommended and required by the <strong>Belmont Forum Open Data Policy and Principles^{<strong>^[1]</strong>}</strong> and the <strong>FAIR Guiding Principles^{<strong>^[2]</strong>}</strong>. The Belmont Forum Open Data Policy and Principles state that: Datasets should be: Discoverable through catalogues and search engines Accessible as open data by default, and made available with minimum time delay Understandable in a way that allows researchers—including those outside the discipline of origin—to use them Manageable and protected from loss for future use in sustainable, trustworthy repositories The FAIR Guiding Principles state that data should be Findable, Accessible, Interoperable, and Reusable. ^{^[1]} http://www.belmontforum.org/about/open-data-policy-and-principles/ ^{^[2]} https://www.nature.com/articles/sdata201618. This work is part of the <strong>Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas (PARSEC)</strong> project with funding provided by the Belmont Forum.

This report summarizes the results of a survey of World Data System members conducted between 02 April and 31 July 2019 by the World Data System International Technology Office at the University of Victoria. The purpose of the survey was to determine the current state of institutions’ data management systems and processes, and gauge their interest in technical support for existing repositories. It further served as an opportunity to introduce members of the WDS to the new ITO office. The survey provided a first look at the current state of the WDS members technology, their expertise, interests, needs and expectations.

From July 2022 to December 2022, the World Data System (WDS) International Technology (ITO) and International Program (IPO) Offices conducted a review of strategic plans and technical roadmaps of all current WDS members and the set of Canadian repositories that participated in the Digital Research Alliance of Canada's CoreTrustSeal Certification Support and Funding Pilot (Digital Research Alliance of Canada, 2022). In this paper, we describe how a new organizational assessment method was designed and utilized to identify the needs and challenges faced by the WDS and Canadian CTS Pilot members. Our method relied on reviewing public-facing documentation provided by the repositories, with a priority on strategic plans and technical road maps. In total, we reviewed 95 sources of information, including 33 strategic plans and 3 technical roadmaps describing a total of 95 out of the original 147 target organizations. In this paper, we also describe our assessment tool and the overarching challenges and goals we identified through the usage of this tool. Finally, we will describe the limitations of our methodology and provide recommendations from the World Data System on how best to assist the WDS members and the cohort of Canadian data repositories based on our findings.

FAIR data requires a Trustworthy Digital Repository (TDR) to store it. The TRUST Principles were created within the RDA community, and the community has requested further guidance and tips on how to implement the TRUST Principles in their repositories. To that aim, the objectives of this TRUST Adoption and Outreach Working Group session is to share and gather information from the data community on the TRUST Principles. To accomplish this, multiple ways the TRUST Principles have been implemented will be shared by the authors of use cases from an adjacent data principle, a data service provider, and a data repository. The WG encourages those interested in discussion and engagement – and not a lecture – to join in! Their presentation at RDA VP26 consisted of: Overview of WG Use Case Presentations Principle use case – CARE Trustworthy services use case – EOSC EDEN (Anu Märkälä) Repository use case – Digital Repository of Ireland (Beth Knazook) Breakout sessions New to the TRUST Principles? How can the TRUST Principles help you? Where would you like to see TRUST go next? Community feedback on TRUST Working Group deliverables

Presentation by Meredith P. Goins for the STIP/NLLC Annual Meeting.

The RDA/WDS Certification of Digital Repositories Interest Group offers a look at the entire lifecycle of repository certification to help repositories see and learn from others who have been through this process. Words of wisdom from a whole host of repositories will be shared, including: Newly certified repositories Repositories that were unable to be certified Repositories that were recently recertified Institutions that purposely chose not to recertify Repositories that only perform self-assessments Their presentation at RDA VP26 consisted of: Overview of IG Presentation from: Newly certified repositories Kerstin Lehnert, Astromat Repositories that were unable to be certified Johan Kylander, CSC – IT Center for Science Ltd. Repositories that were recently recertified Dawei Lin, Immport Discussion Institutions that purposely chose not to recertify Repositories that only perform self-assessments

The World Data System (WDS) is a member organization for scientific data repositories worldwide and an affiliated body of the International Science Council. The WDS’s International Program Office provides executive functions to the WDS Scientific Committee to enhance the capabilities, impact, and sustainability of WDS member data repositories. This is accomplished by enabling trusted communities, strengthening the scientific enterprise, and advocating for accessible data and transparent, reproducible science. The IPO's work supports the widespread storage of high-quality scientific data in secure, accessible repositories, providing trusted data for AI-enabled science. Although the WDS’s members are data repositories, the stakeholders of these entities include researchers, students, policymakers, and, of course, funders.

<p class="first" id="d3715286e56">The World Data System, founded by the International Science Council, is an international organization that promotes long-term stewardship of, and universal and equitable access to quality-assured scientific data and data services, products, and information across all disciplines. WDS meets this mission by focusing its efforts on open science, open data, and particularly Trustworthy Data Repositories (TDR) which have been a part of the data management and preservation fields for decades. Yet, as we move into the world of automation and artificial intelligence, we must continue to have trustworthy repositories. Becoming a member of the WDS entails the repository being certified as trustworthy and the entity must agree to the WDS Data Sharing Principles. These TDRs are our community of excellence who learn and grow with one another. This poster will explain the different WDS membership categories, how they are relevant to SSP attendees, including journals, librarians, data product managers and how they too can engage in this Community of Excellence.

WDS invited all members, data repositories, publishers, scientists, and scholars looking for trustworthy digital repositories (TDRs) to join us as we shared our recent research including: Value narratives for data repositories including results from a recent Delphi study How the TRUST Principles are incorporated into repositories Things to think about as we begin planning for International Polar Year 2032 The discussion continued with how the WDS meets the needs of its members and the data community through training, outreach, and advocacy on behalf of digital data repositories worldwide including: WDS trainings in 2024 and what’s needed in 2025 WDS Action Plan 2025-2027 General feedback on what needs the WDS can meet for the data community The overarching goal of the WDS Town Hall was to give the community a voice into WDS’s actions, activities and engagements, helping the organization to meet user needs. The video update on International Polar Year 2032-2033 provided by Mark Parsons can be viewed here.

Joseph Gum, team member for the Repository Crisis Scorecard research project, and WDS’s Reyna Broadhurst and Meredith Goins hosted a hands-on workshop to help repositories evaluate their resilience during normal operations. To learn more about the RCS project, see: RCS Project: https://www.esipfed.org/repository-resilience/ Survey: https://survey.alchemer.com/s3/8495929/Repository-Crisis-Scorecards-Submission Full RCS Instructions on Zenodo: https://doi.org/10.5281/zenodo.15122045

The International Program Office (IPO) for the World Data System (WDS) is based at the University of Tennessee Oak Ridge Innovation Institute at ORNL. The IPO is supported by a cooperative agreement (DE-SC0021915, PI: Suzie Allard) with the U.S. Department of Energy Office of Science. The IPO provides the World Data System, a member organization for scientific data repositories worldwide and an affiliated body of the International Science Council, with programmatic and communication support. The IPO provides executive functions to the WDS Scientific Committee that enhance the WDS member data repositories' capabilities, impact, and sustainability. This is accomplished through enabling trusted communities, strengthening the scientific enterprise, and advocating for accessible data and transparent and reproducible science. The IPO's work supports widespread storing of quality science data in secure and accessible repositories providing trusted data to conduct AI-enabled science. The IPO interacts with and supports our DOE colleagues through: building bridges with international entities, researchers, and engineers to solve data problems, offering international examples of policies, processes, and standards that aid organizations in setting their global standards, and Serving as a voice in international meetings to share the U.S. perspective. The IPO highlights how WDS is engaged with federated search, open science, and repository certification, all relying on quality governance. Examples include our engagement with international repository-related policies through a policy paper and webinar series, workshops on data repository descriptive metadata and AI&ML best practices in Polar Science, and the outcomes from a recent survey on repository certification options. WDS also provided feedback on the Principles of Open Scholarly Infrastructure and author guidelines for Publishing Open Research Using Physical Samples.

The World Data System (WDS), initially created via the International Science Council in 2008, builds on a strong and proven legacy of predecessor World Data Centers established to ensure long-term stewardship, curation, archiving, and dissemination of data. Today, the WDS has a membership of over 145 trusted data repositories and data-focussed organizations. The mission of WDS is to enhance the capabilities, impact, and sustainability of its member data repositories and data services by creating trusted communities of scientific data repositories, strengthening the scientific enterprise throughout the entire lifecycle of data and all related components, creating first-class data that feeds first-class research output, and advocating for accessible data and transparent and reproducible science. Repositories, an essential element of the research enterprise, must demonstrate continued relevance to the research communities they serve. In this presentation, we will explore how the WDS and repositories are mobilizing to increase their AI-readiness and to support federated systems, data spaces and down-stream applications. While demonstrating the value of trusted data repositories in the provision of FAIR and machine-actionable data as part of these interconnected systems, we recognize that many challenges and gaps are not yet solved. Thus, we also will highlight areas for improvement, feature promising initiatives, and emphasize the importance of coordinated and collective action.

This paper reports on the Hackathon Sessions organised at the Polar Data Forum IV (PDF IV) (20&ndash;24 September 2021), during which 351 participants from 50 different countries discussed collaboratively about the latest developments in polar data management. The 4th edition of the PDF hosted lively discussions on (i) best practices for polar data management, (ii) data policy, (ii) documenting data flows into aggregators, (iv) data interoperability, (v) polar federated search, (vi) semantics and vocabularies, (vii) Virtual Research Environments (VREs), and (viii) new polar technologies. This paper provides an overview of the organisational aspects of PDF IV and summarises the polar data objectives and outcomes by describing the conclusions drawn from the Hackathon Sessions.