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1. Bringing sedimentology and stratigraphy into the StraboSpot data management system

   https://doi.org/10.1130 /GES02364.1  

   Duncan, C.J. ( November 2021 , Geosphere)

   he StraboSpot data system provides field-based geologists the ability to digitally collect, archive, query, and share data. Recent efforts have expanded this data system with the vocabulary, standards, and workflow utilized by the sedimentary geology community. A standardized vocabulary that hon-ors typical workflows for collecting sedimentologic and stratigraphic field and laboratory data was developed through a series of focused workshops and vetted/refined through subsequent workshops and field trips. This new vocabulary was designed to fit within the underlying structure of StraboSpot and resulted in the expansion of the existing data structure. Although the map-based approach of StraboSpot did not fully conform to the workflow for sedimentary geologists, new functions were developed for the sedimen-tary community to facilitate descriptions, interpretations, and the plotting of measured sections to document stratigraphic position and relationships between data types. Consequently, a new modality was added to StraboSpot—Strat Mode—which now accommodates sedimentary workflows that enable users to document stratigraphic positions and relationships and automates construction of measured stratigraphic sections. Strat Mode facilitates data collection and co-location of multiple data types (e.g., descriptive observa-tions, images, samples, and measurements) in geographic and stratigraphic coordinates across multiple scales, thus preserving spatial and stratigraphic relationships in the data structure. Incorporating these digital technologies will lead to better research communication in sedimentology through a common vocabulary, shared standards, and open data archiving and sharing. 

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2. Improving discoverability of tephra data through development of data upload templates and collection tools using community-driven best practices recommendations

   https://doi.org/10.7185/gold2021.3629  

   Wallace, Kristi ; Bursik, Marcus ; Goring, Simon ; Kodama, Samuel ; Kuehn, Steve ; Kurbatov, Andrei ; Lehnert, Kerstin ; Profeta, Lucia ; Ramdeen, Sarah ; Walker, J. Douglas ( July 2021 , Goldschmidt2021)

   Tephra is a unique volcanic product that plays an unparalleled role in understanding past eruptions, the long-term behavior of volcanoes, and the effects of volcanism on climate and the environment. Tephra deposits also provide spatially widespread, extremely high-resolution time-stratigraphic markers across a range of sedimentary settings and are used by many disciplines (e.g. volcanology, seismotectonics, climate science, archaeology, ecology, public health and ash impact assessment). In the last two decades, tephra studies have become more interdisciplinary in nature but are challenged by a lack of standardization that often prevents comparison amongst various regions and across disciplines. To address this challenge, the global tephra community has come together through a series of workshops to establish best practice recommendations for tephra studies from sample collection through analysis and data reporting. This new standardized framework will facilitate consistent tephra documentation and parametrization, foster interdisciplinary communication, and improve effectiveness of data sharing among diverse communities of researchers. One specific goal is to use the best practice guidelines to inform digital tool and data repository development. Here we report on 1) a new set of templates for tephra sample documentation, geochemical method documentation and data reporting using recommended best- practice data and metadata fields, 2) a new tephra module added to StraboSpot, an open source geologic mapping and data- recording multi-platform software application, and 3) new implementations and cross-mapping of metadata requirements at SESAR (System for Earth Sample Registration) and EarthChem. Addition of tephra-specific fields to StraboSpot enables users to consistently collect and report essential tephra data in the field which is then automatically saved to an online data repository. A new tephra portal on the EarthChem website will allow users to follow simple workflows to register tephra samples at SESAR and submit microanalytical data to EarthChem. 

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3. An Update and Implementations of the Community-Driven Best Practices Recommendations for Tephra Studies—From Collection Through Analysis

   Wallace, K.L ( January 2021 , AGU Fall Meeting 2021)

   Tephra is a unique volcanic product with an unparalleled role in understanding past eruptions, the long-term behavior of volcanoes, and the effects of volcanism on climate and the environment. Tephra deposits also provide spatially widespread, extremely high-resolution time-stratigraphic markers across a range of sedimentary settings and are used by many disciplines (e.g. volcanology, seismotectonics, climate science, archaeology, ecology, public health, ash impact assessment). The interdisciplinary shift in tephra studies over the last two decades is challenged by the lack of standardization that often prevents comparison amongst various regions and across disciplines. To address this challenge, the global tephra community has united through a series of workshops to establish best practice recommendations for tephra studies, including sample collection, analysis and data reporting (https://doi.org/10.5281/zenodo.3866266). This new standardized framework is being incorporated into digital tools and data repositories and supports FAIR (findable, accessible, interoperable and reusable) data principles. Widespread adoption will facilitate consistent tephra documentation and parametrization, foster interdisciplinary communication and improve the effectiveness of data sharing among diverse communities of researchers. Here we report on recent implementations of the best-practice recommendations including: 1) a set of templates for samples, methods documentation, and data reporting, 2) a tephra module in the StraboSpot field app (https://strabospot.org), 3) implementations at SESAR and EarthChem, including a tephra community portal (https://earthchem.org/communities/tephra/), 4) implementation in the Sparrow laboratory data system (https://sparrow-data.org/), and 5) a new manuscript supporting the framework. Data linking is facilitated by extensive use of unique identifiers including ORCIDs for people, IGSNs for field sites and samples; DOIs for publications, data, and methods; and Smithsonian IDs for volcanoes and eruptions. These developments allow users to follow simple workflows to archive data and facilitate faster access to key research by secondary users. 

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4. Improving the Practice of Geology through Explicit Inclusion of Scientific Uncertainty for Data and Models

   https://doi.org/10.1130/GSATG560A.1  

   Tikoff, Basil ; Shipley, T.F. ; Nelson, E.M. ; Williams, R.T. ; Barshi, N. ; Wilson, C. ( July 2023 , GSA Today)

   The field of geology is poised to make a fundamental transition in the quality, character, and types of science that are possible for practitioners. Geologists are developing data systems—consistent with their workflow—to digitally collect, store, and share data. Separately, geologists and cognitive scientists have been working together to develop tools that can characterize the level of uncertainty of both data and models. The transformational change comes from the simultaneous combination of these two approaches: digital data systems designed to capture and convey scientific uncertainty. This approach promotes better data collection practice, improves reproducibility, and increases trust in community-based digital data. We applied these methods—attending to uncertainty and its incorporation into digital repositories—to the Sage Hen Flat pluton in eastern California, USA, where two published maps provide different interpretations. Incorporating uncertainty into our workflow, from field data collection to publication, allows us to move beyond binary choices (e.g., is this data/model right or wrong?) to a more nuanced view (e.g., what is my level of uncertainty about the data/model?) that is shareable with the larger community. 

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5. Data Standards for Artificial Life Software

   https://doi.org/10.1162/isal_a_00213  

   Lalejini, Alexander ; Dolson, Emily ; Bohm, Clifford ; Ferguson, Austin J. ; Parsons, David P. ; Rainford, Penelope Faulkner ; Richmond, Paul ; Ofria, Charles ( January 2019 , The 2019 Conference on Artificial Life)

   As the field of Artificial Life advances and grows, we find ourselves in the midst of an increasingly complex ecosystem of software systems. Each system is developed to address particular research objectives, all unified under the common goal of understanding life. Such an ambitious endeavor begets a variety of algorithmic challenges. Many projects have solved some of these problems for individual systems, but these solutions are rarely portable and often must be re-engineered across systems. Here, we propose a community-driven process of developing standards for representing commonly used types of data across our field. These standards will improve software re-use across research groups and allow for easier comparisons of results generated with different artificial life systems. We began the process of developing data standards with two discussion-driven workshops (one at the 2018 Conference for Artificial Life and the other at the 2018 Congress for the BEACON Center for the Study of Evolution in Action). At each of these workshops, we discussed the vision for Artificial Life data standards, proposed and refined a standard for phylogeny (ancestry tree) data, and solicited feedback from attendees. In addition to proposing a general vision and framework for Artificial Life data standards, we release and discuss version 1.0.0 of the standards. This release includes the phylogeny data standard developed at these workshops and several software resources under development to support our proposed phylogeny standards framework. 

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