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The evolving open-science landscape in geosciences: open data, software, publications and community initiatives

In recent years, the geoscience community has been making strides towards making our science more open, inclusive, and accessible, driven both by individual- or community-led initiatives. Open-source software, accessible codebases and open online collaboration resources (such as GitHub, VHub, etc.) are becoming the norm in many disciplines. The open-access publishing landscape has been changing too: several geoscience journals have defined data availability policies, and many publishers have introduced green and gold open-access options to their journal collections. Pre-print servers and grassroots diamond open-access journals are changing the readiness with which scholarly content can be accessed beyond the traditional paywall model.

However, good scientific practice requires research results to be reproducible, experiments to be repeatable and methods to be reusable. This can be a challenge in geosciences, with available data sets that are becoming more complex and constantly superseded by new, improved releases. Similarly, new models and computational tools keep emerging in different versions and programming languages, with a large variability in the quality of the documentation. Moreover, how data and models are linked together towards scientific output is very rarely documented in a reproducible way. As a result, very few published results are reproducible for the general reader.

This session is designed to gain a community overview of the current open-science landscape and how this is expected to evolve in the future. It aims to foster a debate on open science, lower the bar for engaging in open science and showcase examples, including software and other instruments for assisting open research. This may include software and tools, open science dissemination platforms (such as pre-print servers and journals), the teams driving the development of open-science resources and practices, and the regulatory moves towards standardising open access in the scientific community and what those policies mean in practice. This session should advance the discussion on open and reproducible science, highlight its advantages and also provide the means to bring this into practice.

Convener: Remko C. NijzinkECSECS | Co-conveners: Jamie FarquharsonECSECS, Riccardo Rigon, Stan Schymanski
| Tue, 24 May, 10:20–11:35 (CEST)
Room 1.14

Tue, 24 May, 10:20–11:50

Chairpersons: Remko C. Nijzink, Riccardo Rigon

Robert Reinecke et al.

Chains of computer models translate emissions into climate signals and subsequent into impacts regarding floods, droughts, heatwaves, and other perils. While the need for computational geoscience is significant, recent publications across the geo- and environmental sciences suggest that reproducibility of computational geoscience might be limited. So far, the focus of reproducibility largely remained on discussions of this problem in the social sciencesor medicine; in this talk, we take a peek behind the curtain of everyday geoscientific research and unveil how we need to foster reproducibility in computational geoscience and what is required to do that. A poll among more than 300 geoscientists reveals that geoscientific research is currently not reproducible enough. 61% say that a lack of reproducible research is putting trust in our results at stake, and only 3% strongly agree that computational geoscientific research is reproducible. Leading causes, contrasting previous polls, are not only a lack of resources and willingness to share code and data but also a lack of knowledge about state-of-the-art software development methods and licenses among the geoscientific community. To lay a path for a future where Open Science is the norm, we let the voices of the community speak on what they think is necessary and paint a picture of a future that fosters reproducible geoscience and thus trust.

How to cite: Reinecke, R., Trautmann, T., and Wagener, T.: The Critical Need to Foster Reproducibility in Computational Geoscience, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2139, https://doi.org/10.5194/egusphere-egu22-2139, 2022.

Riccardo Rigon et al.

The Digital Earth (DE) metaphor is very useful for both end users and for hydrological modellers. However, in literature it can promote the erroneous view of models as a commodity, that is a basic good used in commerce that is interchangeable with other goods of the same type, without any warning about the fact that some models work better than others, some models just work while others can be simply wrong. These distinctions are at the core of doing good science. This opinion contribution, on the one hand, tries to accept the challenge of adopting models as commodities but, on the other, it wants to show that this acceptance comes with some consequences as to how models must be structured.  The first reuirement is that Digital eARth Twin Hydrology system (called DARTH) need to be Open Source and built with Open Science rules in mind. We analyse different categories of models, with the view of making them part of a . We also stress the idea that DARTHs are not models in and of themselves, rather they need to be built on an appropriate infrastructure that provides some basic services for connection to input data and allows for a modelling-by-components strategy, which, we  argue, is the right one for accomplishing the requirements of the DE. The need to tie predictions to an estimated confidence interval is also supported. Finally, it is argued that DARTHs must promote a new participatory way of doing hydrological science, where researchers can contribute cooperatively to characterize and control model outcomes in various territories. Furthermore, this has consequences for the engineering of the systems. 


How to cite: Rigon, R., Formetta, G., Bancheri, M., Tubini, N., D'Amato, C., David, O., and Massari, C.: Participatory Digital Earth Twin Hydrology systems (DARTHs) for everyone: a blueprint for hydrologists , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2612, https://doi.org/10.5194/egusphere-egu22-2612, 2022.

Kryss Waldschläger and Michael von Papen

Our current era is often referred to as the 'age of data'. Increasing amounts of data and models are generated, often without being used sustainably - because they are not accessible, difficult to understand or difficult to transfer to other data sets. With https://envsci.fastresearch.io/, we aim to improve collaboration on data sets and analyses to make them usable and reproducible for everyone. With our innovative platform, we want to enable researchers to work together on data and data analysis by giving them a tool to collaborate and to make their data and analyses open access. On our platform, large amounts of data can be combined with extensive analyses and used either privately, partially publicly or completely publicly. With FastResearch.io, data and models will be easily accessible and usable even for non-specialists, as data are modularly exchangeable and users do not need to build their own environments to use the models. While a curated software environment is offered for R and Python, users can also use customized environments (docker images) due to the modular and containerized infrastructure, which allows coding in any programming language. The great advantage of FastResearch.io compared to other platform solutions is that data and analyses connected to these data are stored together within a working software environment, which ends consistency problems in collaborative projects forever.

How to cite: Waldschläger, K. and von Papen, M.: A tool for scientific collaboration, reproducible analyses and interactive publications: FastResearch.io, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3700, https://doi.org/10.5194/egusphere-egu22-3700, 2022.

Marcus Strobl et al.

The amount and diversity of digitally available environmental data is continuously increasing.  However, they are often hardly accessible or scientifically usable. The virtual research environment V-FOR-WaTer aims at simplifying data access for environmental sciences, fostering data publications and facilitating data analyses.

V-FOR-WaTer already contains many of the necessary functionalities to provide and display data from various sources and disciplines. The detailed metadata scheme is adapted to water and terrestrial environmental data. Present datasets in the web portal originate from university projects and state offices. We are also finalising the connection of V-FOR-WaTer to GFZ Data Services, an established repository for geoscientific data. This will ease publication of data from the portal and in turn give access to datasets stored in this repository. Key to being compatible with GFZ Data Services and other systems is the compliance of the metadata scheme with international standards (INSPIRE, ISO19115).

The web portal is designed to facilitate typical workflows in environmental sciences. Map operations and filter options ensure easy selection of the data, while the workspace area provides tools for data pre-processing, scaling, and common hydrological applications. The toolbox also contains more specific tools, e.g. for geostatistics and for evapotranspiration. It is easily extendable and will ultimately include user-developed tools, reflecting the current research topics and methodologies in the hydrology community. Tools are accessed through Web Processing Services (WPS) and can be joined, saved and shared as workflows, enabling complex analyses and ensuring reproducibility of the results. To build workflows we include an easy-to-use drag and drop user interface.

How to cite: Strobl, M., Azmi, E., Hassler, S. K., Mälicke, M., Meyer, J., and Zehe, E.: The V-FOR-WaTer Virtual Research Environment for Environmental Research, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6258, https://doi.org/10.5194/egusphere-egu22-6258, 2022.

Denis Anikiev et al.

In the context of research software sustainability, in this work we present the case of IGMAS+ (Interactive Gravity and Magnetic Application System) – a software tool for interactive 3-D numerical modelling, inversion, visualization and interpretation of potential fields together with some applications.

Modern workflows for geophysical interpretation and construction of 3-D data-constrained subsurface geophysical models in complex geological environments require software tools capable of handling multiple interdisciplinary and inhomogeneous input data, both seismic and non-seismic, like gravity and magnetics with their gradients, or magnetotelluric. These aspects imply big challenges not only in implementation and development of the modelling software, but also in organizing communication within the user community. A user of a research software often plays a role of a tester. Our joint goal as a research software community is to improve communication between developers and users, foster related technologies and overall culture of testing while using the research software.

Through the example of IGMAS+ we illustrate how a research software based on clear concepts with a well-established core algorithm can survive in the course of 40 years of development and still be useful, popular and demanded, at the same time being free for research and education purposes with a long-term plan to stay so. The software is largely used in creation of 3-D data-constrained subsurface structural density and susceptibility models at different spatial scales. Both large-scale models (thousands of square km) and regional (hundreds of square km), which we illustrate on several lithospheric-scale case studies, are important for understanding the drivers of geohazards. These models are necessary for efficient and sustainable extraction of resources, such as groundwater, deep geothermal energy or hydrocarbons, from sedimentary basins. Medium-scale models support studies on the usage of subsurface as thermal, electrical or material storage in the context of energy transformation. On the other hand, small-scale (tens of square km) models are largely used in applied geophysics, typically in sub-salt and sub-basalt settings. On the microscale (1 - 5 meters), the software presented here has also been used very successfully in the context of archaeological research and natural cavity localizations. Creation of all these models benefit a lot from the interactive modelling and inversion capabilities.

IGMAS+ is maintained and developed at the Helmholtz Centre Potsdam – GFZ German Research Centre by the effort of a research and development group limited by staff and time capacities. In these circumstances we find important to share our experience in organizing the development of the software and its documentation, the support of users, as well as our vision on the exchange of experience among the users.

How to cite: Anikiev, D., Götze, H.-J., Bott, J., Meeßen, C., Plonka, C., Schmidt, S., and Scheck-Wenderoth, M.: IGMAS+: a success story of a 3-D potential field modelling software, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9388, https://doi.org/10.5194/egusphere-egu22-9388, 2022.

Emiola Gbobaniyi et al.

Hype Data Delivery Service: Data provision for decision support and scientific collaboration

Reliable access to quality assured data is essential to decision support for society and a crucial component to scientific enquiry. This presentation introduces the HYPE Data Delivery Service and highlights its potential and versatility in serving the science community and society at large.

The hydrological catchment model HYPE simulates water flow and substances on their way from precipitation through soil, river and lakes to the river outlet (Lindström et al., 2010). The catchment is divided into sub basins and further into classes depending on land use, soil type and elevation. The global implementation of the Hydrological Predictions for the Environment (HYPE) model covers an area of 135 million km2, delineated to about 131 300 catchments, following river networks from source to sea (Arheimer et al, 2020). The HYPE Data Delivery Services provides results from the Global HYPE for all continental domains of the world except Antarctica. Results for the European domain are taken from the European (E-HYPE) model (Donnelly et al. 2016). The results range from historical simulations, forecasts (1-10 day, monthly, seasonal) to climate impact projections, essentially encapsulating the past, present and future. HYPE forecasts are driven by near-real-time adjusted reanalysis forcing data for hydrology (HydroGFD, Berg et al. 2018) while projections are driven by an ensemble of CMIP5 GCMs and CORDEX RCM output.

While the Hypeweb service (hypbeweb.smhi.se) visualization service provides spatial Open Data and time series points of interest, the delivery service offers high volume, high availability data covering whole continental domains. Through purchased subscriptions, the delivery service meets the data needs of many users including national hydrometeorological services, hydropower industry, hydrological consultancy and re-insurance companies. The delivery service also fosters research partnerships and collaborations through data and model sharing Research Agreements. Research Agreements with academic and research-based institutions carry obligations for collaborative research and peer reviewed publications in furtherance of scientific knowledge. The Hype Data Delivery Service is a definite win-win for science serving society through data provision.

Arheimer, B., Pimentel, R., Isberg, K., Crochemore, L., Andersson, J. C. M., Hasan, A., and Pineda, L., 2020. Global catchment modelling using World-Wide HYPE (WWH), open data and stepwise parameter estimation, Hydrol. Earth Syst. Sci. 24, 535–559, https://doi.org/10.5194/hess-24-535-2020

Berg, P., Donnelly, C., and Gustafsson, D.(2018). Near-real-time adjusted reanalysis forcing data for hydrology, Hydrol. Earth Syst. Sci., 22, 989–1000, https://doi.org/10.5194/hess-22-989-2018.

Donnelly, C, Andersson, J.C.M. and Arheimer, B., 2016. Using flow signatures and catchment similarities to evaluate a multi-basin model (E-HYPE) across Europe. Hydr. Sciences Journal 61(2):255-273, doi: 10.1080/02626667.2015.1027710

Lindström, G., Pers, C.P., Rosberg, R., Strömqvist, J., and Arheimer, B. (2010). Development and test of the HYPE (Hydrological Predictions for the Environment) model – A water quality model for different spatial scales. Hydrology Research 41.3-4:295-319.

How to cite: Gbobaniyi, E., Gyllensvärd, F., Popp, A., Capell, R., Andersson, J., and Arheimer, B.: Hype Data Delivery Service: Data provision for decision support and scientific collaboration, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12439, https://doi.org/10.5194/egusphere-egu22-12439, 2022.

Luca Trotter et al.

The Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) is a flexible framework for hydrological modelling designed for model intercomparison studies and hypothesis testing. It reproduces 47 established conceptual hydrologic models of varying complexity including Sacramento, HBV, GR4J, VIC and TOPMODEL, amongst others. The package also allows to modify them or create new ones by mixing-and-matching components and modules from different models. We radically restructured MARRMoT compared to versions v1.x using an object-oriented programming approach to enhance code clarity and computational efficiency.

MARRMoT v2.1 is structured around two hierarchical classes, where a high-level superclass provides the template of all common model operations, while model-specific code is defined into individual subclasses derived from the single superclass. This reduces the verbosity and repetitiveness of the code, improving readability and facilitating debugging. Additionally, it simplifies the procedure to modify model structures or create new ones, also ensuring that best practices for solving model equations are followed as these are contained in the definition of the superclass and deployed automatically across all models.

We also updated MARRMoT’s numerical solving routine by including a Newton-Raphson solver. This lets us obtain satisfying solutions to the implicit Euler approximations of the models’ differential equations in a number of cases where the previous solving routine had failed, while also obtaining a 2.6-fold runtime improvement on average. We tested these changes by comparing outputs of 36 of the models in the framework between this object-oriented version and the previous version (v1.4) using calibrated parameters and climate inputs from the CAMELS US dataset.

The new version of the toolbox (v2.1) and user manual, including several workflow examples for common application, is available from GitHub (https://github.com/wknoben/MARRMoT).

How to cite: Trotter, L., Knoben, W., Fowler, K., Saft, M., and Peel, M.: Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v2.1: better, faster and more accessible hydrological modelling through object-oriented programming., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6849, https://doi.org/10.5194/egusphere-egu22-6849, 2022.

Rok Roškar

The Renku platform developed at the Swiss Data Science Center integrates state-of-the-art data science and open source software tools to enable collaborative, reproducible and reusable data science. Data, code, workflows and computational environments in every project are versioned from the start, allowing researchers to focus on their task of discovery rather than worrying about preserving their work. In addition, Renku provides a hosted solution for running those computational environments, which allows researchers to share their fully reproducible work instantly with others. Renku treats all aspects of the data analysis process (code, data, workflows) as nodes in an indexed, searchable Knowledge Graph, meaning that datasets, algorithms or full workflows can be discovered, shared and reused. In this talk we will describe how Renku lowers the bar for researchers to participate in open-science and provides scientific communities with tools to gain a deeper understanding of pathways of discovery within their disciplines.

How to cite: Roškar, R.: Renku: a platform for collaborative, reusable and reproducible research, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10697, https://doi.org/10.5194/egusphere-egu22-10697, 2022.

Stanislaus J. Schymanski et al.

The goals of open science include easy reproducibility of research results, transparency of research methods and re-usability of artefacts, e.g. data, code, and graphics. Consequently, open science is expected to foster scientific collaboration and sustainability of research, as it enables building on each others' methods and results for many years and decades to come.

Here we report about our collective attempts in the last 4-10 years of taking open science to the extreme by using exclusively open formats, open-source software, sharing all stages of our work online and recording workflows and provenance of code and data. Most of our analyses are carried out in Jupyter Notebooks, which are all shared online through gitlab. In these notebooks and our python-analyses, we integrate the python package essm for transparent and easily reproducible mathematical derivations. For more complex analyses, including large model runs, we use the tool Renku of the Swiss Data Science Center in order to record workflows and provenance of code and data.

Find out where we succeeded, where we failed, what we gained and what we lost in pursuing open science to the extreme. Hear about the views and experiences with open science at the undergraduate, postgraduate, postdoc, engineer and senior researcher level. Eventually, we will also report about what we are still missing for entirely reproducible, verifiable, and reusable open science. We hope we can foster a debate about good open science practices, and how we can remove obstacles that are still in our way.

How to cite: Schymanski, S. J., Ceolin, S., Corvi, O., Gama, A., Krieger, L., Minette, F., Nijzink, R. C., O'Nagy, O., Osuebi-Iyke, E., and Thakur, G.: Open and collaborative science: 4+ years of going to the extreme, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8851, https://doi.org/10.5194/egusphere-egu22-8851, 2022.

Peter Kalverla et al.
The eWaterCycle platform (https://www.ewatercycle.org/) is a fully Open Source system designed explicitly to advance the state of Open and FAIR Hydrological modelling. It allows scientists to set up experiments in a standardized way and run them interactively in a Jupyter environment.
Previously we have presented various components that constitute the system: a preprocessing pipeline using ESMValTool (https://www.esmvaltool.org/) to generate meteorological forcing data, containerized models implementing the Basic Model Interface (https://bmi.readthedocs.io/), gRPC4BMI (https://github.com/eWaterCycle/grpc4bmi) to communicate with these containers from a Python environment, a visual explorer that lets the user set up an experiment with a few clicks and automatically generates a notebook based on the selected settings, and utilities to work with observations and analyse results.
Recently we have officially released the eWaterCycle Python package (https://ewatercycle.readthedocs.io/en/latest/) that connects these components to provide a simple and clean user interface. The core of the package is modelled after PyMT (https://pymt.readthedocs.io/en/latest/index.html), extended with convenience functions to make the interface more user friendly, e.g. using xarray (http://xarray.pydata.org/en/stable/index.html) for spatial data and providing more user-friendly time accessors. Separate modules are available to load forcing data and parameter sets from the system and configure them correctly for the target model.
The package comes with comprehensive documentation, including a suite of example notebooks. It also includes setup instructions for system administrators and guidance for incorporating new models. Currently, the following models are available through the eWaterCycle system: wflow, lisflood, marrmot m01, marrmot m14 and pcrglobwb.
The release of the package marks a milestone in the development towards our goal of fully reproducible, open, and FAIR Hydrological modelling.

How to cite: Kalverla, P., Hut, R., Drost, N., Verhoeven, S., Alidoost, F., Vreede, B., Andela, B., Smeets, S., Camphuijsen, J., Dzigan, Y., Pelupessy, I., van den Oord, G., van Werkhoven, B., Aerts, J., and van de Giesen, N.: Introducing the eWaterCycle Python package for open and FAIR hydrological modelling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7715, https://doi.org/10.5194/egusphere-egu22-7715, 2022.

George Burba

Directly measuring GHG gas emissions, carbon sequestration, evapotranspiration and heat fluxes via the Eddy Covariance method has been widely used by expert micrometeorologists for over 30 years, covering 2155 stationary locations globally, and numerous mobile campaigns over land and water surfaces. Latest measurement technologies and automated processing software are rapidly expanding the use of the method to non-micrometeorological research. Regulatory and commercial uses of the method also increase year-by-year.

Despite the widening adoption of the method, academic investigators outside the area of micrometeorology and the majority of non-academic investigators are still not familiar enough with the proper implementation of the method required for conducting high-quality, reliable, traceable, and defensible measurements in their respective areas of interest.

Although data collection and processing are now automated, the method still requires significant care to correctly design the experiment, set up the site, organize and analyze a large amount of data. Efforts of the flux networks (e.g., FluxNet, AmeriFlux, Asiaflux, ICOS, NEON, OzFlux, etc.) have led to major progress in the standardization of the method. The project-specific workflow, however, is difficult to unify because various experimental sites and purposes of studies demand different treatments, and site-, measurement- and purpose-specific approaches.

To address this situation, step-by-step simple instructions were created to introduce a novice to general principles, requirements, applications, processing, and analysis steps of the conventional Eddy Covariance technique in the form of the free electronic resource, a 660-page textbook titled "Eddy Covariance Method for Scientific, Regulatory, and Commercial Applications". The explanations are provided using easy-to-understand illustrations and real-life examples, and the text is written in a non-technical language to be practically useful to those new to this field.

Information is provided on the theory of the method (including the state of methodology, basic derivations, practical formulations, major assumptions, sources of errors, error treatments, etc.), practical workflow ow (e.g., experiment design, implementation, data processing, quality control, and analysis), data sharing and flux stations networking, key alternative methods, and the most frequently overlooked details.

The book is organized by topic for ease of access to specific information. Each topic is presented in a three-tier structure: an illustration and summary, more in-depth information, and references to more advanced textbooks, networking guidelines, and journal papers for further exploration.

How to cite: Burba, G.: Writing a New Free Book on Using Direct GHG Measurements in Disciplines beyond Micrometeorology, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6206, https://doi.org/10.5194/egusphere-egu22-6206, 2022.

Nilay Dogulu et al.

The universe of Open Science is expanding with many scientific disciplines, organizations and policymakers committing to openness, accessibility, transparency and reproducibility. The paper “A Hydrologist’s Guide to Open Science” (Hall et al., 2022) introduces four Open Hydrology Principles and provides a practical guide to empower hydrologists across the globe as they transition to open, accessible, reusable, and reproducible research in their academic work and beyond. In this poster, we will focus on the fourth principle of Hall et al. (2022), Open Publishing, which should build on the other three principles (1. Open Research Process and Approach, 2. Open Data, 3. Open Software Development and Use). We will present current Open Science policies of major hydrology journals based on the following five criteria: a) open-access model, b) publication finance policy, c) preprint policy, d) release requirements for data, code and software, and e) peer-review procedure. This overview can serve as a guideline for researchers that are in search of journals aligning with their Open Science perspectives. Additionally, we hope to kick off a broader discussion about the hydrologic publishing landscape and how it can evolve to foster Open Science.


Hall, C.A., Saia, S.M., Popp, A.L., Dogulu, N., Schymanski, S., Drost, N., van Emmerik T. Hut, R., A Hydrologist’s Guide to Open Science. Hydrology and Earth System Sciences, doi.org/10.5194/hess-2021-392 (in print)

How to cite: Dogulu, N., Popp, A. L., Hall, C. A., Saia, S. M., Schymanski, S. J., Drost, N., van Emmerik, T., and Hut, R.: Open Science in the publishing landscape of hydrology research, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8901, https://doi.org/10.5194/egusphere-egu22-8901, 2022.

Marta Marchegiano et al.

Sedimentologika is a community-driven Diamond Open Access (DOA) scientific journal about sedimentology. The journal aims to create a place where people can publish their research and access scientific studies on all types of sedimentary processes, methods, deposits, and environments, across all spatial and temporal scales, on Earth or any other planetary body, for free. The published material will be free to share (i.e., no embargo period) since authors retain the copyright. Sedimentologika is driven by the community for the community and is part of a broader DOA movement in geosciences. Sedimentologika aspires at emancipating from the financial barriers associated to private publishing houses to provide direct and equal access to science to all citizens, scientists, and institutions all over the globe. This journal will be defined by Open Science principles to promote ethical dissemination of science and knowledge, following high equality, diversity, and inclusion standards. Each step of the review and publication process will be visible and easy to follow for authors, reviewers and the community. Sedimentologika will be launched by mid-2022 and we are always looking for motivated people keen on giving a little bit of their time to make Sedimentologika a viable and recognized peer-reviewed scientific journal. Interested in this initiative? Come discuss with us!

How to cite: Marchegiano, M., Chiarella, D., Jarochowska, E., Kane, I., Mitten, A., Privat, A., Poyatos-Moré, M., Soutter, E., Spychala, Y., Thomas, C., Vaucher, R., and Zuchuat, V.: Sedimentologika: a community-driven DOA journal, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8870, https://doi.org/10.5194/egusphere-egu22-8870, 2022.

Alice-Agnes Gabriel et al.

Seismica is an effort to establish a Diamond Open-Access (OA) journal for the community of researchers working in the (broadly defined) fields of seismology and earthquake science. Diamond OA journals are free to read, do not charge authors to publish, and thus promise to widen access to published research to all. Such efforts require broad community participation beyond editing and reviewing articles, as all functions typically fulfilled by paid staff, including administration, production, typesetting and copy editing, must be undertaken by volunteers.

In December 2020, the Seismica Task Force, a spontaneously-organized group of seismologists and earthquake scientists, connected on Twitter. Inspired by the example of the established Diamond OA journal Volcanica, we began to explore the possibility of founding such a journal in our own field. Through outreach via social media, blog posts, conference presentations and disciplinary mailing lists, we have built a community of over 180 interested participants. With broad input, this group has developed a roadmap (https://doi.org/10.31223/X5304V) for the build-out of the journal, including an editorial structure and policies, broad outreach and structures to ensure a diverse editorial team, a logo and visual branding, and agreements with the McGill University Library to host and support the journal.

In this presentation, we will introduce our first editorial board, and solicit our first article submissions for publication in 2022.  We will also update the broader community on these and other developments in the journal-building process, and share our experiences and lessons learned.

How to cite: Gabriel, A.-A., Bruhat, L., van den Ende, M., Funning, G., Hicks, S. P., Jolivet, R., Lecocq, T., and Rowe, C.: Seismica: a community-led Diamond Open-Access journal for seismology and earthquake science, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11264, https://doi.org/10.5194/egusphere-egu22-11264, 2022.

David Fernández-Blanco et al.

Tektonika is a new community-led diamond open-access journal (DOAJ) for structural geology and tectonics. It will join the growing body of DOAJs established over recent years and expand the open science movement within academia. Tektonika is a grass-roots initiative, driven by the enthusiasm and devotion of a wide and diverse spectrum of Earth Scientists from around the globe. This project endeavors to set up an open platform, devoid of any paywall, to publish, disseminate, and promote structural geology and tectonics research, and shape, alongside the other initiatives, the bright future of open access publishing.

This contribution comes shortly after the official kick-off date of Tektonika and is a great opportunity to provide an overview of our experience setting up a DOAJ and highlight the milestones that have been achieved. These include the selection of executive and associate editorial teams, as well as journal policies regarding submissions, peer-review, article types, journal scope, ethos, and relevant guidelines. A shop with journal merchandise has been set to support the journal costs and may also fund other activities, such as mentoring programs, awards, and seminars. Most importantly, Tektonika is currently welcoming submissions as the first diamond (free-to-publish, free-to-read) open-access platform in the fields of tectonics and structural geology.

How to cite: Fernández-Blanco, D., Gouiza, M., Bond, C., McCarthy, D., Lee, A., and Pérez-Díaz, L. and the Tektonika DOAJ community: Tektonika, the new Diamond Open Access journal for structural geology and tectonics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12042, https://doi.org/10.5194/egusphere-egu22-12042, 2022.