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DiSSCo Flanders aims at developing a standardised natural science collections management infrastructure, ensuring proper long-term conservation, and future re-usage of the collections. Meise Botanic Garden coordinates the Flemish consortium. This four-year project, funded by the FWO (Research Foundation – Flanders), started in January 2021. The consortium brings together both the more classical ‘museum’ collections (Meise Botanic Garden, Ghent University Museum), with research collections (Research Institute for Nature and Forest, Flanders Research Institute for Agriculture, Fisheries and Food, Flanders Marine Institute, universities), and living collections (Belgian Association of Botanic Gardens and Arboreta, Zoo of Antwerp (Poo 2022)). Many of the research collections are smaller orphan collections, lacking a (full-time) curator, for which collection management is not the core business of the hosting institute. The Belgian federal DiSSCo members are associated with the project, allowing close collaboration between European, national and regional (digital) collection management inititatives. Building on the expertise of the European DiSSCo-related projects, an initial high-level inventory and assessment of the collections has been made and will provide a better understanding of the collections landscape in Flanders (Van Baelen 2022). This step in the digitization will increase the findability of the diverse regional collections and highlight the available knowledge to the research community. Close collaboration with the TDWG Collections Descriptions interest group and the development of the Latimer Core standard (Woodburn 2021) will ensure maximal interoperability of the collection data. In order to be relevant for research, the Flemish collections need to be more interconnected and linked to other data sources. To ensure that collection data is adhering to the FAIR principles (Findable, Accessible, Interoperable and Resuable) and ready to connect to the DiSSCo research infrastructure, DiSSCo Flanders will have a large focus on the collection(s) management system (CMS). Depending on the needs and specificities of each collection, a strategy will be chosen to implement and/or collection data will be migrated to (an) optimised system(s). Parallel to the digital inventory and CMS choice, the consortium addresses specific themes in the format of working groups. Most of the institutes have identified that their molecular collection (DNA, tissues) has not been properly acknowledged as a separate long-term collection. Challenges such as the storage and curation of e-DNA and environmental samples (e.g., soil) have been identified. Very often it will only be feasible to add basic data in the CMS and essential data is not available to the researchers. DiSSCo Flanders invests in the enrichment of specimen data to ensure that a maximal amount of information becomes available to the community. This can be accomplished either through the use of citizen science/crowdsourcing using the DoeDat platform (Groom 2018), or by using machine learning techniques performed by the IDLab at Ghent University (Thirukokaranam Chandrasekar 2021). Besides the technical aspects of the DiSSCo research infrastructure, the consortium is covering topics such as data publication, legal aspects of collections, standard operating procedures, etc. through knowledge sharing and active dialog.
DiSSCo Flanders aims at developing a standardised natural science collections management infrastructure, ensuring proper long-term conservation, and future re-usage of the collections. Meise Botanic Garden coordinates the Flemish consortium. This four-year project, funded by the FWO (Research Foundation – Flanders), started in January 2021. The consortium brings together both the more classical ‘museum’ collections (Meise Botanic Garden, Ghent University Museum), with research collections (Research Institute for Nature and Forest, Flanders Research Institute for Agriculture, Fisheries and Food, Flanders Marine Institute, universities), and living collections (Belgian Association of Botanic Gardens and Arboreta, Zoo of Antwerp (Poo 2022)). Many of the research collections are smaller orphan collections, lacking a (full-time) curator, for which collection management is not the core business of the hosting institute. The Belgian federal DiSSCo members are associated with the project, allowing close collaboration between European, national and regional (digital) collection management inititatives. Building on the expertise of the European DiSSCo-related projects, an initial high-level inventory and assessment of the collections has been made and will provide a better understanding of the collections landscape in Flanders (Van Baelen 2022). This step in the digitization will increase the findability of the diverse regional collections and highlight the available knowledge to the research community. Close collaboration with the TDWG Collections Descriptions interest group and the development of the Latimer Core standard (Woodburn 2021) will ensure maximal interoperability of the collection data. In order to be relevant for research, the Flemish collections need to be more interconnected and linked to other data sources. To ensure that collection data is adhering to the FAIR principles (Findable, Accessible, Interoperable and Resuable) and ready to connect to the DiSSCo research infrastructure, DiSSCo Flanders will have a large focus on the collection(s) management system (CMS). Depending on the needs and specificities of each collection, a strategy will be chosen to implement and/or collection data will be migrated to (an) optimised system(s). Parallel to the digital inventory and CMS choice, the consortium addresses specific themes in the format of working groups. Most of the institutes have identified that their molecular collection (DNA, tissues) has not been properly acknowledged as a separate long-term collection. Challenges such as the storage and curation of e-DNA and environmental samples (e.g., soil) have been identified. Very often it will only be feasible to add basic data in the CMS and essential data is not available to the researchers. DiSSCo Flanders invests in the enrichment of specimen data to ensure that a maximal amount of information becomes available to the community. This can be accomplished either through the use of citizen science/crowdsourcing using the DoeDat platform (Groom 2018), or by using machine learning techniques performed by the IDLab at Ghent University (Thirukokaranam Chandrasekar 2021). Besides the technical aspects of the DiSSCo research infrastructure, the consortium is covering topics such as data publication, legal aspects of collections, standard operating procedures, etc. through knowledge sharing and active dialog.
The DoeDat platform was launched by Meise Botanic Garden in 2018 to capture label data from imaged herbarium specimens by inviting volunteer contributors (Groom et al. 2018). It has since facilitated data capture from specimens of other natural history collections (Helminger et al. 2020, Mitrache et al. 2023), as well as digitised content from various other disciplines, such as historical photographs, posters and postcards. Volunteers may simply transcribe handwritten and/or typed text, but often also interpret the sparse and scattered information on the image, including trying to georeference its original location. As of April 2024, almost 650.000 tasks have been completed, of which more than 470.000 were herbarium specimens from Meise. DoeDat supports domain standards, including Darwin Core, and follows most of the currently drafted MIDS (Minimum Information about a Digital Specimen) guidelines as to what data is captured for natural history specimens. However, images have to be pre-loaded into the server storage for each project and captured data gets exported as one or more CSV files per project. These data files then still need to be processed before they can be ingested into the local management system (Engledow et al. 2023). Often the data are also subjected to additional quality control before they get openly published. This can result in the pipeline from image to openly published annotations being quite time and labour-consuming. As the biodiversity infrastructure landscape moves more towards FAIR (Findable, Accessible, Interoperable, Reusable) open data, DoeDat will adapt accordingly. This includes digital objects that are easy to annotate. Furthermore, image servers following IIIF (International Image Interoperability Framework) greatly standardise the access and portability of media content, drastically changing the way images are being dealt with. We envision upgrading the DoeDat platform to load images and any required metadata as IIIF manifests, greatly streamlining the process of adding new content and tracking provenance. The transcriptions should be accessible for external systems, loading the updated image manifests and publishing them as annotations such as nanopublications.
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