Our Mission
OneGeochemistry is a global initiative that brings together major geochemical data providers and the geochemical research community with the objective of establishing global standards and best practices for FAIR geochemical laboratory analytical data that are as open as possible and as closed as necessary. OneGeochemistry operates as a CODATA Working Group.
Vision: OneGeochemistry is working towards an interoperable global geochemical data network that links international geochemical data service providers.
Mission: Advance scientific knowledge and discovery by promoting best practices and protocols for reporting geochemical data that will make the data not only globally findable and accessible, but also interoperable and reusable (FAIR).
Geochemical data have applications in many disciplines including geology, cosmology, environment, resources (groundwater, minerals, energy), geohealth, ocean and agriculture. As such, geochemical data play an important role in at least six of the United Nations Sustainable Development Goals. To support these disciplines and goals, there is a growing need to provide advice and support the implementation of data quality assurance/quality control (QA/QC) validation methods for laboratories, repositories, publishers and policy makers. When provenance, methodology and a measure of data quality are consistently documented others will be enabled to trust, interpret and reuse data. In enabling and simplifying the (re)use of geochemical data, OneGeochemistry will help to facilitate acceleration of the generation of new geoscientific knowledge and discoveries.
OneGeochemistry organises collaboration and coordination of data reporting standardisation efforts that are non-unique across the diverse geochemistry communities, filling a niche previously unoccupied. Previous standardisation efforts have always focused on national, programmatic or less centralised levels. As of December 2022, the OneGeochemistry initiative is acting as the OneGeochemistry CODATA Working Group under the International Science Council to bring together the disparate geochemistry initiatives across Scientific Unions, Associations, Societies and Commissions.
Enabling FAIRer geochemical data and simplifying data (re)use through OneGeochemistry projects will both contribute to many UN Sustainable Development goals and accelerate the generation of new geoscientific knowledge and discoveries.
OneGeochemistry seeks to develop and promote influential, community-driven data conventions and best practices necessary and build a global network of high-quality, FAIR, and trusted geochemical data by:
- Developing internationally endorsed best practices for FAIR geochemical data.
- Defining requirements for data documentation (method, samples, data quality, etc.).
- Developing and implementing interoperability standards for geochemical data to enable machine-to-machine exchange and integration of geochemical data.
- Aligning with modern technology (e.g. semantic web standards).
- Using, where possible, internationally endorsed vocabularies.
The OneGeochemistry initiative invites researchers, data groups and initiatives to advance the vision of standardisation and interoperability of geochemical data between institutions and nations for a global network of geochemical data resources. For more information please visit the Participate section.
By Lesley Wyborn
Geochemistry emerged as a discipline in its own right around 1838 and since then, acquisition and analysis of geochemical data have become pervasive. Initially geochemical data was acquired using manual ‘wet chemical’ techniques and only major elements and a few trace elements were routinely recorded. Results were reported in typeset tables in publications, and a publication rarely contained data on more than 15 samples.
For the first 120 years little changed, but by the 1960’s a technological revolution began to take place in geochemistry: analytical systems became more automated and microanalytical in-situ techniques were progressively developed. The volumes of data generated increased rapidly and the diversity of elements and isotopes analysed soon covered the periodic table: the data tsunami began. As more and more automated techniques became available, it became very difficult to share all geochemical data through tables in paper publications, and data was reported in supplementary papers that could only be retrieved through direct contact with the author: the data were no longer part of the publication and were easily and often lost. However, as analytical technologies advanced, technologies to store and curate geochemical data over the long term did not keep up with these developments. Even with the emergence of the internet, the global geochemical community was unable to organise data in a way that it could be digitally curated, shared and even repurposed for new use cases.
In the last 30 years major databases that store geochemical data emerged, and although many did not survive, EarthChem and GEOROC have been sustained over decades and continue to provide valuable online, published geochemical datasets and showcase the potential of harnessing data into authoritative sources to generate new scientific discoveries. Today, the Internet can connect multiple globally distributed databases in real-time. We now urgently need to focus on creating the digital standards and agreeing on best practices that will make any online geochemistry dataset Findable, Accessible, Interoperable and Reusable (FAIR) by both humans and machines. The recently formed OneGeochemistry CODATA Working Group is seeking to both harness and harmonise existing groups working towards global data sharing and promulgate best practices and standards.
Governance & Leadership
OneGeochemistry is a voluntary initiative with an organised governance structure.
Recommended Reading
The following, alphabetic references represent a good start into the various topics of FAIR data management.
Geochemical data are vital for understanding Earth’s past, present and future. However, currently only a fraction of geochemical data are findable, accessible, interoperable and reusable, limiting their use in the broadest range of scientific studies. There is an urgent need for international coordination of geochemical data and methods to unlock their full research potential.
Chamberlain, K. J., Lehnert, K. A., McIntosh, I. M., Morgan, D. J., & Wörner, G. 2021. Time to change the data culture in geochemistry. Nature Reviews Earth & Environment, 2(11), 737–739. https://doi.org/10.1038/s43017-021-00237-w
We present ten simple rules that support converting a legacy vocabulary—a list of terms available in a print-based glossary or in a table not accessible using web standards—into a FAIR vocabulary. Various pathways may be followed to publish the FAIR vocabulary, but we emphasise particularly the goal of providing a globally unique resolvable identifier for each term or concept. A standard representation of the concept should be returned when the individual web identifier is resolved, using SKOS or OWL serialised in an RDF-based representation for machine-interchange and in a web-page for human consumption. Guidelines for vocabulary and term metadata are provided, as well as development and maintenance considerations. The rules are arranged as a stepwise recipe for creating a FAIR vocabulary based on the legacy vocabulary. By following these rules you can achieve the outcome of converting a legacy vocabulary into a standalone FAIR vocabulary, which can be used for unambiguous data annotation. In turn, this increases data interoperability and enables data integration.
Cox SJD, Gonzalez-Beltran AN, Magagna B, Marinescu M-C 2021. Ten simple rules for making a vocabulary FAIR. PLoS Computational Biology 17(6): e1009041. https://doi.org/10.1371/journal.pcbi.1009041
Data standardization combined with descriptive metadata facilitate data reuse, which is the ultimate goal of the Findable, Accessible, Interoperable, and Reusable (FAIR) principles. Community data or metadata standards are increasingly created through an approach that emphasizes collaboration between various stakeholders. Such an approach requires platforms for collaboration on the development process that centers on sharing information and receiving feedback. Our objective in this study was to conduct a systematic review to identify data standards and reporting formats that use version control for developing data standards and to summarize common practices, particularly in earth and environmental sciences. Out of 108 data standards and reporting formats identified in our review, 32 used GitHub as the version control platform, and no other platforms were used. We found no universally accepted methodology for developing and publishing data standards. Many GitHub repositories did not use key features that could help developers to gather user feedback, or to create and revise standards that build on previous work. We provide guidance for community-driven standard development and associated documentation on GitHub based on a systematic review of existing practices.
Crystal-Ornelas, R., Varadharajan, C., Bond-Lamberty, B., Boye, K., Burrus, M., Cholia, S., et al., 2021. A guide to using GitHub for developing and versioning data standards and reporting formats. Earth and Space Science, 8, e2021EA001797. https://doi.org/10.1029/2021EA001797
MetBase has been the world’s largest database for meteorite compositions, but has now passed this torch on to the Astromaterials Data System (Astromat), into which MetBase has recently been merged. This merger had been planned for some time and took almost 1 year to complete. Not only differences in the structure of the databases, in the content and organization of data and metadata, and in the terminology used but also incorporation of new data needed to be resolved to combine the data holdings of MetBase with the Astromat synthesis database. Astromat is NASA’s primary archive for laboratory analyses of astromaterial samples and funded by NASA to provide services for the preservation and open access of data from astromaterials, including meteorites, in alignment with the FAIR principles. After merging MetBase into Astromat’s synthesis database, this now provides the cosmochemical community the largest compilation of cosmochemical analytical data by far: over 2 million analytical data points. Astromat is also part of a bigger ecosystem of geo- and cosmochemcial databases, as its foundation is aligned with other large geochemical databases such as EarthChem and GEOROC. The visualization tools and the teaching tool from MetBase will be further developed and now exist as independent tools. We provide a brief history of the two databases and their journeys, an outlook toward the future, as well as lessons learned from this merger. We recommend that other cosmochemical databases try whenever possible to adopt the Astromat database schema as early as possible, or get in contact for alternative options. We believe MetBase now being a part of Astromat is a match made in heaven and hope Astromat will become a reliable and trusted service within the community.
Hezel, D.C., Lehnert, K.A., Elangovan, P., Ji, P., Mays, J., Koblitz, J. (2024) The MetBase database has been merged into Astromat. Meteoritics & Planetary Science, 60(1), 143-148. https://doi.org/10.1111/maps.14293
Jackson I and Wyborn L 2008. One Planet: One Geology? The Google Earth revolution and the geological data deficit. Environmental Geology, 53(6), 1377-1380. http://dx.doi.org/10.1007/s00254-007-1085-z
Geochemistry is a data-driven discipline. Modern laboratories produce highly diverse data, and the recent exponential increase in data volumes is challenging established practices and capabilities for organizing, analyzing, preserving, and accessing these data. At the same time, sophisticated computational techniques, including machine learning, are increasingly applied to geochemical research questions, which require easy access to large volumes of high-quality, well-organized, and standardized data. Data management has been important since the beginning of geochemistry but has recently become a necessity for the discipline to thrive in the age of digitalization and artificial intelligence. This paper summarizes the landscape of geochemical databases, distinguishing different types of data systems based on their purpose, and their evolution in a historic context. We apply the life cycle model of geochemical data; explain the relevance of current standards, practices, and policies that determine the design of modern geochemical databases and data management; the ethics of data reuse such as data ownership, data attribution, and data citation; and finally create a vision for the future of geochemical databases: data being born digital, connected to agreed community standards, and contributing to global democratization of geochemical data.
Klöcking, M., Lehnert, K., & Wyborn, L. (2025). Geochemical databases. In: A. Anbar & D Weis (Eds), Treatise on Geochemistry (pp. 97-135). Elsevier. https://doi.org/10.1016/B978-0-323-99762-1.00123-6
Communicating chemical knowledge is at the core of the IUPAC mission and underlies the success of the chemistry enterprise. In the global economy of the 21st century, this involves exchange among computer systems along with the expert scientists who use them. To enable the application of IUPAC outputs in the digital environment, IUPAC must augment its efforts to enable accessibility and interpretation by machines as well as humans. The Union must adapt to a digital work culture to engage in its mission of sustainable development, common language and free exchange of scientific information. [Frey 2014, https://doi.org/10.1515/ci.2014.36.1.14]
The Committee on Publications and Cheminformatics Data Standards (CPCDS)(https://iupac.org/body/024) is charged to develop standards that enable and “promote interoperable and consistent transmission, storage, and management of digital [chemical information] content.” Since 2016, the CPCDS Subcommittee on Cheminformatics Data Standards has been tasked to explore the needs of the chemical community with the objective of coordinating the collective expertise of relevant IUPAC Divisions and Committees and external global organizations. A special issue of Chemistry International on “Research Data, Big Data and Chemistry” was edited by the Subcommittee for the 49th General Assembly in São Paulo (https://iupac.org/etoc-alert-chemistry-international-jul-sep-2017/)
As demonstrated in related communities of practice such as crystallography, machine readable scientific definitions and standard data formats facilitate accurate reporting, further scientific analysis and processing of measurements. Collective sharing of data within a domain enables the generation of new insights that are applicable more broadly. The adoption of standard file formats and standard identifiers across the community and stakeholders greatly aids in workflows to accurately publish and share data in digital venues. [Bruno 2020, https://charlestonlibraryconference.com/here-come-the-data/]
Developing and disseminating digital representations of IUPAC intellectual assets is not simply a software problem. Criteria for machine readability needs to be robust, function consistently across many different computer systems, and be based on accepted Internet protocols. The FAIR Data Principles describe high level criteria for enabling data and associated information to be Findable, Accessible, Interoperable and Re-usable for both humans and machines in a distributed digital environment. These principles provide a good starting point for understanding what is required to enable data to be effectively shared and allows IUPAC to tap into many motifs for digital exchange emerging in the data sciences and informatics expert communities. [Wilkinson et al.,https://doi.org/10.1038/sdata.2016.18]
McEwen, L.R, 2020. Towards a Digital IUPAC. Chemistry International, vol. 42, no. 2, pp. 15-17. https://doi.org/10.1515/ci-2020-0203
The National Imaging Facility (NIF) provides Australian researchers with state-of-the-art instrumentation—including magnetic resonance imaging (MRI), positron emission tomography (PET), X-ray computed tomography (CT) and multispectral imaging – and expertise for the characterisation of animals, plants and materials.
To maximise research outcomes, as well as to facilitate collaboration and sharing, it is essential not only that the data acquired using these instruments be managed, curated and archived in a trusted data repository service, but also that the data itself be of verifiable quality. In 2017, several NIF nodes collaborated on a national project to define the requirements and best practices necessary to achieve this, and to establish exemplar services for both preclinical MRI data and clinical ataxia MRI data.
In this paper we describe the project, its key outcomes, challenges and lessons learned, and future developments, including extension to other characterisation facilities and instruments/modalities.
Mehnert, A. J., Janke, A., Gruwel, M., Goscinski, W. J., Close, T., Taylor, D., Narayanan, A., Vidalis, G., Galloway, G., and Treloar, A., 2019. Putting the Trust into Trusted Data Repositories: A Federated Solution for the Australian National Imaging Facility. International Journal of Digital Curation,14 (1), 102–113. https://doi.org/10.2218/ijdc.v14i1.594
Stall, S., Cruse, P., Cousijn, H., Cutcher-Gershenfeld, J., de Waard, A., Hanson, B., Heber, J., Lehnert, K., Parsons, M., Robinson, E., Witt, M., Wyborn, L., and Yarmey, L., 2018. Data Sharing and Citations: New Author Guidelines Promoting Open and FAIR Data in the Earth, Space, and Environmental Sciences. Science Editor. 41(3), 83-87. https://www.csescienceeditor.org/wp-content/uploads/2018/11/CSEv41n3_text_83-87.pdf
The geoscience and chemistry communities have numerous common practices and dependency on data standards. Recent efforts from the International Union on Pure and Applied Chemistry (IUPAC) and the American Geophysical Union (AGU) are to explore and collaborate on approaches and sharing lessons learned on efforts to implement the FAIR Guiding Principles as they apply to data in their respective communities. This paper summarizes their efforts-to-date highlighting the importance of existing communities, Scientific Unions, standards bodies and societies in taking deliberate steps to move and encourage researcher adoption of the FAIR tenets.
Stall, S, McEwen, L, Wyborn, L, Hoebelheinrich, N, and Bruno., I, 2020. Growing the FAIR community at the intersection of the geosciences and pure and applied chemistry. Data Intelligence 2(2020), 139–150. https://doi.org/10.1162/dint_a_00036
Stall, S., Yarmey, L., Cutcher-Gershenfeld, J., Hanson, B, Lehnert, K., Nosek, B., Parsons, M., Robinson, E., and Wyborn, L., 2019. Making Scientific Data Fair. Nature 570, 27-29. https://doi.org/10.1038/d41586-019-01720-7
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., … Mons, B., 2016. The FAIR Guiding Principles for scientific data management and stewardship. In Scientific Data 3, 1. https://doi.org/10.1038/sdata.2016.18
Interoperability across multiple scientific disciplines has generally had limited success, as most standards are specific to a single community or discipline. However, many components of scientific data are common to multiple disciplines, and if these can be identified and leveraged then valuable foundations are laid for cross-discipline interoperability. A recent joint W3C and OGC standard - the Semantic Sensor Network (SSN) ontology - specifies the semantics of sensors, observation, sampling, and actuation, and supports a modular approach to the specification of the details of these elements of a scientific information system. This separation of concerns then allows the relevant experts to define community-endorsed standards for individual disciplines, with protocols and vocabularies in each of the modular components, within a common overall framework. Where the same component is used in many disciplines (e.g., geographical location, units of measure, colour, elements of the periodic table, definition of magnetic properties) common (universal) reference standards, protocols, can be established. This modular approach will ultimately facilitate interdisciplinary science and lay the foundations for digital scientific data to be born connected to multiple disciplines. An example of this approach is shown through the subdiscipline of geochemistry.
Wyborn, L.A.I., Cox, S.J.D., Lehnert, K.A., and Klump, K., 2018. A modular approach to developing interdisciplinary, interoperable standards for geochemical data based on the Semantic Sensor Network (SSN) Ontology. https://doi.org/10.13140/RG.2.2.17794.04806
OneGeochemistry Articles & Documents
The OneGeochemistry team has published a number of articles to define the goals of this initiative and its ongoing development.
Additional documentation and technical papers are archived in our Zenodo community.
OneGeochemistry participated in the CODATA and RDA-led WorldFAIR Project on Global Cooperation on FAIR Data Policy and Practice, that was funded by the European Commission for 2022-2024 and collectively sought to advance implementation of the FAIR principles and improve Interoperability and Reusability by connecting initiatives on data management and FAIR data practices, including using FAIR Implementation Profiles (FIPs).
The Project concluded that a dual approach to accelerating standards/best practices to enable FAIR compliance is recommended to increase FAIRness of geochemical data:
- As geochemistry consists of multiple sub-disciplines, each with its own methods and terminologies, multiple working groups will be needed to develop required best practices for each; and
- As there are already many community protocols and best practices at either the local, national, or international level, there is an urgency to publish online current existing protocols, vocabularies, etc., with a view to forming focused international communities of practice to coalesce on global data agreements.
Four Deliverables were produced by the Geochemistry Case Study in the WorldFAIR Project: these are summarised and links are provided to each.
Wyborn, L., Prent, A., Klöcking, M., Lehnert, K., Farrington, R., Nixon, A., Hezel, D., Elger, K., & Profeta, L. (2024). Enabling FAIR data in Geochemistry through the WorldFAIR Project. Version 1.0. Zenodo. https://doi.org/10.5281/zenodo.13932070
As a long-tail scientific discipline with highly specific and heterogeneous analytical methods, the geochemistry community faces challenges in achieving FAIR data compliance. While many repositories satisfy the Findable and Accessible principles of FAIR, increased modernisation of existing standards and development of additional data standards are required to achieve Interoperability and Reusability of data.
This third deliverable of the WorldFAIR Geochemistry Work Package (WP05) aims to guide the geochemistry data infrastructure community towards convergence by identifying FAIR Enabling Resources (FERs) that are currently being used by the geosciences community. Promulgation of used resources and their uptake by other infrastructure providers is part of the push towards convergence. The WorldFAIR Geochemistry Work Package proposes creating a reference FIP or catalogue of FERs to promote interoperability and prevent duplication of efforts. The geochemistry reference FIP is designed as a living document, allowing continual updates by the community. It serves as a tool for laboratories, repositories, and infrastructure providers to enhance data FAIRness. Through the provision of a reference FAIR Implementation Profile (FIP) or catalogue of FERs as part of this report, data providers and producers are provided with a tool to help select FERs when building or updating their infrastructure to become more FAIR.
Together with the second deliverable (D5.2) of the WorldFAIR Geochemistry Work Package which outlined the usefulness and importance of FIPs, this report and the associated reference FIP can be used by the geochemistry community - particularly by data creators and providers - to improve their FAIRness. We recommend that new and emerging geochemistry data producers and providers consult the geochemistry reference FIP and ideally choose to implement existing FERs, although the selection and implementation of FERs should align with the principles and community needs that the specific data system serves.
The goal is to facilitate the implementation of commonly-used FERs, and so improving data FAIRness, with a resource that fosters interoperability, accelerates convergence on data standards, and ultimately enhances the accessibility and reusability of geochemical data. This report and the reference FIP aim to encourage the reuse of available resources, prevent duplication, and enhance convergence on data standards within the geochemistry community. Community collaboration, the continuous evolution of the living reference FIP document to support FAIR compliance and convergence towards standardisation are needed to continue improving FAIRness in the geochemistry data community.
Prent, A., Farrington, R., Wyborn, L., Nixon, A., Elger, K., Klöcking, M., Hezel, D., & Lehnert, K. (2024). WorldFAIR (D5.3) Guidelines for implementing Geochemistry FIPs (Version 1). Zenodo. https://doi.org/10.5281/zenodo.10712808
Together with the earlier WorldFAIR Milestone 6, this D5.2 report focuses on advocating the utility and significance of FAIR Implementation Profiles (FIPs) for the geochemistry community, culminating in presenting a set of policy and organisational recommendations. The primary goal of this report is to foster alignment across the complex and heterogeneous geochemistry community, in producing and integrating FAIR data for the huge diversity of sample types and target analytes of this community, each often having numerous analytical methods. This document presents various ways in which the community can increase FAIRness through the publication of FERs for different levels of data granularity and FAIR community size and complexity (Figure 2). Additionally, interoperability of data between methodologies is suggested to be overcome through data abstraction (Box 1).
Following the FIP methodology, this D5.2 report makes reference to the fifteen FAIR Principles, divided into scientific and technical components. Scientific component implementations, and related community engagement, are to be based on best practice publications that outline data reporting and methodology descriptions from within specific geochemistry sub-disciplines. Parts of these publications, including tables and images in PDF or document formats, could be converted into machine actionable FAIR-enabling resources (FERs), and be part of a generic FIP for geochemistry. Technical components need to be generated, reviewed and assessed by geochemistry data infrastructure and repository technical staff, along with the development of additionally needed FERs in consultation with other FAIR data management expert groups (e.g., CODATA-DDI Alliance activity, the DDI-CDI group, the RDA Vocabulary Services Interest Group, IUPAC, etc.) and the “Ten Simple Rules for making a vocabulary FAIR” (Cox et al. 2021).
This report is the result of interactions with the geochemistry community through the OneGeochemistry Initiative, its board members, research infrastructure experts, analytical facilities and international leaders in geochemistry data management systems (EarthChem, DIGIS-GEOROC, AGN–AusGeochem, GFZ Data Services, NFDI4Earth, and EPOS MSL Laboratories).
Prent, A., Wyborn, L., & Farrington, R. (2024). WorldFAIR (D5.2) Geochemistry Methodology and Outreach (Version 1). Zenodo. https://doi.org/10.5281/zenodo.10406332
WorldFAIR Milestone 6, reported here, specifies work done and being undertaken for Deliverable 5.2 (due month 20), ‘Geochemistry Methodology and Outreach’, which has the following description: “This deliverable will outline the methodology used to develop and update FIPs and promulgate knowledge of them, including publishers to ensure the quality, interoperability and reusability of data in publications”.
As geochemical data is collected on a diversity of natural and synthetic samples (rocks, sediments, minerals, fossils, meteorites, cosmic dust, fluids, gases, etc), from the Earth or other planetary bodies, there is an incredible range of analytical instruments used and hundreds of analytical techniques applied. This results in a community with many subdisciplines that produce typically ‘long tail’ data - data that are highly specific and small in volume. The community and the data produced are heterogeneous and overlaps of common minimum variables are scarce.
We conclude that developing a single FAIR Implementation Profile (FIP) for all geochemical data will not be possible; rather, there will need to be multiple linked FIPs for geochemistry subdisciplines and at multiple levels of granularity. As a FIP is underpinned by FAIR Enabling Resources (FERs), many such FERs need to be publicly available or need to be published. By specifying any FER(s) that accompany each FAIR principle within the individual FIP, users of any geochemical dataset/database will have accurate documentation for each FAIR Principles, and thus enhance machine readability.
This Milestone describes progress towards developing a methodology designed to assist in defining the individual FERs required to fully describe the minimum scientific and technical variables used to describe any geochemical analysis. These FERs will enable the generation of multiple FIPs, facilitating published results to be reproduced and shared globally with sufficient metadata to make any geochemical resource FAIR for both humans and machines.
This Milestone report then discusses how the components of this methodology are being executed in the community, discusses resulting progress towards minimum common variables of samples, discusses how to make best practices for geochemical methods available online and specifies a set of vocabularies published to describe methodologies.
Prent, A., Wyborn, L., Farrington, R., Lehnert, K., Klöcking, M., Elger, K., Hezel, D., ter Maat, G., Profeta, L., & Rawling, T. (2023). WorldFAIR Project (MS6) Geochemistry Scientific Content Component (Version 1.1). Zenodo. https://doi.org/10.5281/zenodo.7977116
Prent A.M., Hezel D.C., Klöcking M., Wyborn L., Farrington R., Lehnert K., Elger K., Profeta L., 2023. Innovating and networking global geochemical data resources through OneGeochemistry. Elements 19(3), 136–137. https://doi.org/10.2138/gselements.19.3.136
The majority of geochemical and cosmochemical research is based upon observations and, in particular, upon the acquisition, processing and interpretation of analytical data from physical samples. The exponential increase in volumes and rates of data acquisition over the last century, combined with advances in instruments, analytical methods and an increasing variety of data types analysed, has necessitated the development of new ways of data curation, access and sharing. Together with novel data processing methods, these changes have enabled new scientific insights and are driving innovation in Earth and Planetary Science research. Yet, as approaches to data-intensive research develop and evolve, new challenges emerge. As large and often global data compilations increasingly form the basis for new research studies, institutional and methodological differences in data reporting are proving to be significant hurdles in synthesising data from multiple sources. Consistent data formats and data acquisition descriptions are becoming crucial to enable quality assessment, reusability and integration of results fostering confidence in available data for reuse. Here, we explore the key challenges faced by the geo- and cosmochemistry community and, by drawing comparisons from other communities, recommend possible approaches to overcome them. The first challenge is bringing together the numerous sub-disciplines within our community under a common international initiative. One key factor for this convergence is gaining endorsement from the international geochemical, cosmochemical and analytical societies and associations, journals and institutions. Increased education and outreach, spearheaded by ambassadors recruited from leading scientists across disciplines, will further contribute to raising awareness, and to uniting and mobilising the community. Appropriate incentives, recognition and credit for good data management as well as an improved, user-oriented technical infrastructure will be essential for achieving a cultural change towards an environment in which the effective use and real-time interchange of large datasets is common-place. Finally, the development of best practices for standardised data reporting and exchange, driven by expert committees, will be a crucial step towards making geo- and cosmochemical data more Findable, Accessible, Interoperable and Reusable by both humans and machines (FAIR).
Klöcking M, Wyborn L, Lehnert KA, Ware B, Prent AM, Profeta L, Kohlmann F, Noble W, Bruno I, Lambart S, Ananuer H, Barber ND, Becker H, Brodbeck M, Deng H, Deng K, Elger K, Franco GdS, Gao Y, Ghasera KM, Hezel DC, Huang J, Kerswell B, Koch H, Lanati AW, Maat Gt, Martínez-Villegas N, Yobo LN, Redaa A, Schäfer W, Swing MR, Taylor RJM, Traun MK, Whelan J, Zhou T., 2023. Community recommendations for geochemical data, services and analytical capabilities in the 21st century. Geochimica et Cosmochimica Acta. http://dx.doi.org/10.1016/j.gca.2023.04.024
Report on the formalisation of the OneGeochemistry CODATA Working Group. Project Deliverable D5.1 for EC WIDERA-funded project “WorldFAIR: Global cooperation on FAIR data policy and practice”.
The WorldFAIR Geochemistry Work Package Deliverable 5.1 sets out to formalise the OneGeochemistry Initiative. With the exponential growth of data volumes and production, better coordination and collaboration is needed within the Earth and Planetary Science community producing geochemical data. The mission of OneGeochemistry is to address this need and in order to do so effectively the OneGeochemistry Interim Board has applied to become the OneGeochemistry CODATA Working Group. This application has been approved by the CODATA Executive Committee. The OneGeochemistry CODATA Working Group will be led by a chair and co-chair and will form expert advisory groups where required. Becoming a CODATA Working Group gives the OneGeochemistry Initiative credibility and authority to successfully pursue a long-term governance structure and accomplish the other WorldFAIR deliverables of WP05 (Geochemistry).
Accomplishing an outline of the methodology used to populate and update FAIR Implementation Profiles and to promulgate knowledge of them, as well as creating a set of guidelines for laboratories and repositories on how to use FAIR Implementation Profiles and common variables to QA/QC data, will enable FAIRer (Wilkinson et al., 2016) geochemical data, which will in turn make interdisciplinary use easier.
Geochemical data has direct application to six of the seventeen UN Sustainable Development Goals (SDG#6 (Clean Water and Sanitation); SDG#7 (Affordable and Clean Energy); SDG#8 (Decent Work and Economic Growth); SDG#9 (Industry, Innovation and Infrastructure); SDG#13 (Climate Action); SDG#15 (Life on Land) and FAIR geochemical data will accelerate the generation of new geoscientific knowledge and discoveries. Within the greater framework of the WorldFAIR project, this deliverable has come together in collaboration with CODATA (WP01 and WP02) and the International Union of Pure and Applied Chemistry (IUPAC, WP03).
Prent, A., & Rawling, T. (2022). WorldFAIR Project (D5.1) Formalisation of OneGeochemistry (Version 1). Zenodo. https://doi.org/10.5281/zenodo.7380947
OneGeochemistry is an international collaboration between multiple national and international organisations that support geochemistry capability and data production. This document describes the interim governance of OneGeochemistry that will be valid until the network is formally constituted (planned for mid 2024).
Lehnert, Kerstin, Klöcking, Marthe, Elger, Kirsten, Wyborn, Lesley, Prent, Alexander, ter Maat, Geertje, & Hezel, Dominik C., 2022. OneGeochemistry Interim Governance. Zenodo. https://doi.org/10.5281/zenodo.6566074
Acknowledgements
Many of the images on these pages come from pixabay.