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The open data movement has brought revolutionary changes to the field of mineralogy. With a growing number of datasets made available through community efforts, researchers are now able to explore new scientific topics such as mineral ecology, mineral evolution and new classification systems. The recent results have shown that the necessary open data coupled with data science skills and expertise in mineralogy will lead to impressive new scientific discoveries. Yet, feedback from researchers also reflects the needs for better FAIRness of open data, that is, findable, accessible, interoperable and reusable for both humans and machines. In this paper, we present our recent work on building the open data service of Mindat, one of the largest mineral databases in the world. In the past years, Mindat has supported numerous scientific studies but a machine interface for data access has never been established. Through the OpenMindat project we have achieved solid progress on two activities: (1) cleanse data and improve data quality, and (2) build a data sharing platform and establish a machine interface for data query and access. We hope OpenMindat will help address the increasing data needs from researchers in mineralogy for an internationally recognized authoritative database that is fully compliant with the FAIR guiding principles and helps accelerate scientific discoveries.

 

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. 

Abstract Sampling the natural world and built environment underpins much of science, yet systems for managing material samples and associated (meta)data are fragmented across institutional catalogs, practices for identification, and discipline-specific (meta)data standards. The Internet of Samples (iSamples) is a standards-based collaboration to uniquely, consistently, and conveniently identify material samples, record core metadata about them, and link them to other samples, data, and research products. iSamples extends existing resources and best practices in data stewardship to render a cross-domain cyberinfrastructure that enables transdisciplinary research, discovery, and reuse of material samples in 21st century natural science. 

The composition and state of the earth’s lithosphere through time has had profound effect on past and present biodiversity and will continue to do so into the future. Environments ranging from deep sea hydrothermal vents to active continental volcanic centres provide a wide range of ecosystems that have shaped the planet we know. Catastrophic events relating to movements of the lithosphere and events deep in the mantle have also caused major biodiversity changes such as mass extinctions. Our museum collections contain rock and fossil specimens collected from many of these environments and suites of samples specifically collected in order to better understand the evolution of our planet. Requests to carry out geochemical investigations on these samples are common and a large amount of data is generated as a result. Currently there are no natural history collections management systems tailored towards recording and delivering these datasets and the result is that the data is recorded in various distributed systems and cannot be easily assessed and used. It is important for these analyses on our museum collections to be delivered in a standard way so that the importance and relevance of these collections can be demonstrated and large datasets generated to answer big questions regarding the geological evolution of our planet. Examples of these questions include “how and when will volcanic eruptions will occur?” and “what has been the role of volcanism during mass extinction?”. Other geochemical studies such as oxygen isotope studies have been carried out on museum collections in order to investigate past oceanic environments and the effects of changes in climate on our oceans. Geochemical data aggregators such as EarthChem have made great strides in working towards international data standards and providing portals for delivering this type of data. As we progress towards one European Collection (DiSSCo) it is vital that we recognise the importance of these natural history collections related geochemical datasets and include delivering them on the general roadmap.