scholarly journals Advancing the Catalogue of the World’s Natural History Collections

2020 ◽  
Vol 4 ◽  
Author(s):  
Donald Hobern ◽  
Deborah L Paul ◽  
Tim Robertson ◽  
Quentin Groom ◽  
Barbara Thiers ◽  
...  
Keyword(s):  
Natural History ◽  
Global Biodiversity Information Facility ◽  
Multiple Networks ◽  
Biodiversity Knowledge ◽  
Online Consultation ◽  
Natural History Collections ◽  
Complex Landscape ◽  
Biodiversity Information ◽  
Coordination Team ◽  
Research Resources

Information about natural history collections helps to map the complex landscape of research resources and assists researchers in locating and contacting the holders of specimens. Collection records contribute to the development of a fully interlinked biodiversity knowledge graph (Page 2016), showcasing the existence and importance of museums and herbaria and supplying context to available data on specimens. These records also potentially open new avenues for fresh use of these collections and for accelerating their full availability online. A number of international (e.g., Index Herbariorum, GRSciColl) regional (e.g. DiSSCo and CETAF) national (e.g., ALA and the Living Atlases, iDigBio US Collections Catalog) and institutional networks (e.g., The Field Museum) separately document subsets of the world's collections, and the Biodiversity Information Standards (TDWG) Collection Descriptions Interest Group is actively developing standards to support information sharing on collections. However, these efforts do not yet combine to deliver a comprehensive and connected view of all collections globally. The Global Biodiversity Information Facility (GBIF) received funding as part of the European Commission-funded SYNTHESYS+ 7 project to explore development of a roadmap towards delivering such a view, in part as a contribution towards the establishment of DiSSCo services within a global ecosystem of collection catalogues. Between 17 and 29 April 2020, a coordination team comprising international representatives from multiple networks ran Advancing the Catalogue of the World’s Natural History Collections, a fully online consultation using the GBIF Discourse forum platform to guide discussion around 26 consultation topics identified in an initial Ideas Paper (Hobern et al. 2020). Discussions included support for contributions in Spanish, Chinese and French and were summarised daily throughout the consultation. The consultation confirmed broad agreement around the needs and goals for a comprehensive catalogue of the world’s natural history collections, along with possible strategies to overcome the challenges. This presentation will summarise the results and recommendations.

scholarly journals People: From a Collection Manager's Viewpoint

2019 ◽  
Vol 3 ◽  
Author(s):  
Elspeth Haston ◽  
Lorna Mitchell
Keyword(s):  
Natural History ◽  
Direct Result ◽  
Global Biodiversity Information Facility ◽  
Natural History Collections ◽  
Plant Names ◽  
The World ◽  
Global Biodiversity ◽  
Biodiversity Information ◽  
Do So ◽  
Residual Number

The specimens held in natural history collections around the world are the direct result of the effort of thousands of people over hundreds of years. However, the way that the names of these people have been recorded within the collections has never been fully standardised, and this makes the process of correctly assigning the event relating to the specimen to an individual difficult at best, and impossible at worst. The events in which people are related to specimens include collecting, identifying, naming, loaning and owning. Whilst there are resources in the botanical community that hold information on many collectors and authors of plant names, the residual number of unknown people and the effort required to disambiguate them is daunting. Moreover, in many cases, the work carried out within the collection to disambiguate the names relating to the specimens is often not recorded and made available, generally due to the lack of a system to do so. This situation is making it extremely difficult to search for collections within the main aggregators, such as GBIF —the Global Biodiversity Information Facility— , and severely hampers our ability to link collections both within and between institutes and disciplines. When we look at benefits of linking collections and people, the need to agree and implement a system of managing people names becomes increasingly urgent.

scholarly journals DiSSCo e-Services to Serve Global Community Needs

2021 ◽  
Vol 5 ◽  
Author(s):  
Wouter Addink ◽  
Sharif Islam ◽  
Jose Alonso
Keyword(s):  
Natural History ◽  
Quality Data ◽  
Current Status ◽  
Data Standards ◽  
Global Biodiversity Information Facility ◽  
Training Support ◽  
User Stories ◽  
Natural History Collections ◽  
Community Curation ◽  
Biodiversity Information

DiSSCo (Distributed System of Scientific Collections) is a research infrastructure (RI) under development, which will provide services for the global research community to support and enhance physical and digital access to the natural history collections in Europe. These services include training, support, documentation and e-services. This talk will focus on the e-services and will give an overview of the current status, roadmap and first results as an introduction to the next talks in the session, which focus on some of the services in more detail and the standards work undertaken in Biodiversity Information Standards (TDWG) to enable them. The RI community will provide the envisioned e-services, which will use the novel FAIR Digital Object (FDO) infrastructure serving digital specimens from the European collections. The infrastructure will provide integrated data analysis, enhanced interpretation, annotation and access services for community curation and visualisation. The FDO infrastructure enables specimen data to be (re-)connected with genomic, geographical, morphological, taxonomic and environmental information through the digital specimen, making them Digital Extended Specimens. A large number of user stories have been collected through the DiSSCo-linked projects ICEDIG, SYNTHESYS+ and DiSSCo Prepare, to guide which e-Services to build and what functionality to provide. These user stories are publicly available in a github repository. The e-services are developed based on the user stories and prioritization provided by collection providers and the scientific community. A variety of mechanisms are used to collect input: surveys, workshops, roundtables and workpackage meetings, and feedback from users that have already been using beta versions of some of the services. DiSSCo aims to become operational in 2026 but several of the services are already being piloted or implemented. Experimental services and demonstrators are publicly available through DiSSCo Labs for testing and feedback. By connecting the specimen data with derived and related information in a FAIR way (Findable, Accessible, Interoperable and Reusable), the e-services will accelerate biodiversity discovery and support novel research questions. The FDO infrastructure has a data model that also integrates the PROV Ontology (PROV-O), which allows for the e-services to capture activities and improve the visibility of researcher contributions. This vision towards FAIR and high quality data is essential for community curation of the specimen data and making better use of the limited number of experts available. To provide the DiSSCo e-services in a FAIR way, the data derived from the natural history collections in Europe needs to be integrated as one virtual collection. The data has to be findable and accessible as soon as it is being created for services like a Specimen Data Refinery prior to publication in a facility like GBIF (Global Biodiversity Information Facility). This requires new standards for describing collections and specimen data. Standards being created to fill these gaps are TDWG CD (Collection Descriptions) and TDWG MIDS (Minimum Information about a Digital Specimen). The DiSSCo e-Services vision brings the data, standards, and processes together to serve the user community.

scholarly journals Furthering Genomic Research Infrastructures: The Global Genome Biodiversity Network

2019 ◽  
Vol 3 ◽  
Author(s):  
Katharine Barker ◽  
Jonas Astrin ◽  
Gabriele Droege ◽  
Jonathan Coddington ◽  
Ole Seberg
Keyword(s):  
Natural History ◽  
Best Practices ◽  
Genomic Research ◽  
Benefit Sharing ◽  
Global Biodiversity Information Facility ◽  
Access And Benefit Sharing ◽  
Culture Collections ◽  
Data Standard ◽  
Research Infrastructures ◽  
Biodiversity Information

Most successful research programs depend on easily accessible and standardized research infrastructures. Until recently, access to tissue or DNA samples with standardized metadata and of a sufficiently high quality, has been a major bottleneck for genomic research. The Global Geonome Biodiversity Network (GGBN) fills this critical gap by offering standardized, legal access to samples. Presently, GGBN’s core activity is enabling access to searchable DNA and tissue collections across natural history museums and botanic gardens. Activities are gradually being expanded to encompass all kinds of biodiversity biobanks such as culture collections, zoological gardens, aquaria, arboreta, and environmental biobanks. Broadly speaking, these collections all provide long-term storage and standardized public access to samples useful for molecular research. GGBN facilitates sample search and discovery for its distributed member collections through a single entry point. It stores standardized information on mostly geo-referenced, vouchered samples, their physical location, availability, quality, and the necessary legal information on over 50,000 species of Earth’s biodiversity, from unicellular to multicellular organisms. The GGBN Data Portal and the GGBN Data Standard are complementary to existing infrastructures such as the Global Biodiversity Information Facility (GBIF) and International Nucleotide Sequence Database (INSDC). Today, many well-known open-source collection management databases such as Arctos, Specify, and Symbiota, are implementing the GGBN data standard. GGBN continues to increase its collections strategically, based on the needs of the research community, adding over 1.3 million online records in 2018 alone, and today two million sample data are available through GGBN. Together with Consortium of European Taxonomic Facilities (CETAF), Society for the Preservation of Natural History Collections (SPNHC), Biodiversity Information Standards (TDWG), and Synthesis of Systematic Resources (SYNTHESYS+), GGBN provides best practices for biorepositories on meeting the requirements of the Nagoya Protocol on Access and Benefit Sharing (ABS). By collaboration with the Biodiversity Heritage Library (BHL), GGBN is exploring options for tagging publications that reference GGBN collections and associated specimens, made searchable through GGBN’s document library. Through its collaborative efforts, standards, and best practices GGBN aims at facilitating trust and transparency in the use of genetic resources.

scholarly journals Rapid Creation of a Data Product for the World's Specimens of Horseshoe Bats and Relatives, a Known Reservoir for Coronaviruses

2020 ◽  
Vol 4 ◽  
Author(s):  
Erica Krimmel ◽  
Austin Mast ◽  
Deborah Paul ◽  
Robert Bruhn ◽  
Nelson Rios ◽  
...  
Keyword(s):  
Natural History ◽  
Life Histories ◽  
Lessons Learned ◽  
Reproducible Research ◽  
State University ◽  
Biodiversity Data ◽  
Global Biodiversity Information Facility ◽  
Data Product ◽  
Natural History Collections ◽  
Horseshoe Bats

Genomic evidence suggests that the causative virus of COVID-19 (SARS-CoV-2) was introduced to humans from horseshoe bats (family Rhinolophidae) (Andersen et al. 2020) and that species in this family as well as in the closely related Hipposideridae and Rhinonycteridae families are reservoirs of several SARS-like coronaviruses (Gouilh et al. 2011). Specimens collected over the past 400 years and curated by natural history collections around the world provide an essential reference as we work to understand the distributions, life histories, and evolutionary relationships of these bats and their viruses. While the importance of biodiversity specimens to emerging infectious disease research is clear, empowering disease researchers with specimen data is a relatively new goal for the collections community (DiEuliis et al. 2016). Recognizing this, a team from Florida State University is collaborating with partners at GEOLocate, Bionomia, University of Florida, the American Museum of Natural History, and Arizona State University to produce a deduplicated, georeferenced, vetted, and versioned data product of the world's specimens of horseshoe bats and relatives for researchers studying COVID-19. The project will serve as a model for future rapid data product deployments about biodiversity specimens. The project underscores the value of biodiversity data aggregators iDigBio and the Global Biodiversity Information Facility (GBIF), which are sources for 58,617 and 79,862 records, respectively, as of July 2020, of horseshoe bat and relative specimens held by over one hundred natural history collections. Although much of the specimen-based biodiversity data served by iDigBio and GBIF is high quality, it can be considered raw data and therefore often requires additional wrangling, standardizing, and enhancement to be fit for specific applications. The project will create efficiencies for the coronavirus research community by producing an enhanced, research-ready data product, which will be versioned and published through Zenodo, an open-access repository (see doi.org/10.5281/zenodo.3974999). In this talk, we highlight lessons learned from the initial phases of the project, including deduplicating specimen records, standardizing country information, and enhancing taxonomic information. We also report on our progress to date, related to enhancing information about agents (e.g., collectors or determiners) associated with these specimens, and to georeferencing specimen localities. We seek also to explore how much we can use the added agent information (i.e., ORCID iDs and Wikidata Q identifiers) to inform our georeferencing efforts and to support crediting those collecting and doing identifications. The project will georeference approximately one third of our specimen records, based on those lacking geospatial coordinates but containing textual locality descriptions. We furthermore provide an overview of our holistic approach to enhancing specimen records, which we hope will maximize the value of the bat specimens at the center of what has been recently termed the "extended specimen network" (Lendemer et al. 2020). The centrality of the physical specimen in the network reinforces the importance of archived materials for reproducible research. Recognizing this, we view the collections providing data to iDigBio and GBIF as essential partners, as we expect that they will be responsible for the long-term management of enhanced data associated with the physical specimens they curate. We hope that this project can provide a model for better facilitating the reintegration of enhanced data back into local specimen data management systems.

scholarly journals Mobilizing Data from Taxonomic Literature for an Iconic Species (Dinosauria, Theropoda, Tyrannosaurus rex)

2019 ◽  
Vol 3 ◽  
Author(s):  
Jeremy Miller ◽  
Yanell Braumuller ◽  
Puneet Kishor ◽  
David Shorthouse ◽  
Mariya Dimitrova ◽  
...  
Keyword(s):  
Global Biodiversity Information Facility ◽  
Museum Exhibits ◽  
The Public ◽  
The Past ◽  
Biodiversity Knowledge ◽  
Informatics Infrastructure ◽  
The Subject ◽  
The Impact ◽  
Biodiversity Information ◽  
Occurrence Records

A vast amount of biodiversity data is reported in the primary taxonomic literature. In the past, we have demonstrated the use of semantic enhancement to extract data from taxonomic literature and make it available to a network of databases (Miller et al. 2015). For technical reasons, semantic enhancement of taxonomic literature is most efficient when customized according to the format of a particular journal. This journal-based approach captures and disseminates data on whatever taxa happen to be published therein. But if we want to extract all treatments on a particular taxon of interest, these are likely to be spread across multiple journals. Fortunately, the GoldenGATE Imagine document editor (Sautter 2019) is flexible enough to parse most taxonomic literature. Tyrannosaurus rex is an iconic dinosaur with broad public appeal, as well as the subject of more than a century of scholarship. The Naturalis Biodiversity Center recently acquired a specimen that has become a major attraction in the public exhibit space. For most species on earth, the primary taxonomic literature contains nearly everything that is known about it. Every described species on earth is the subject of one or more taxonomic treatments. A taxon-based approach to semantic enhancement can mobilize all this knowledge using the network of databases and resources that comprise the modern biodiversity informatics infrastructure. When a particular species is of special interest, a taxon-based approach to semantic enhancement can be a powerful tool for scholarship and communication. In light of this, we resolved to semantically enhance all taxonomic treatments on T. rex. Our objective was to make these treatments and associated data available for the broad range of stakeholders who might have an interest in this animal, including professional paleontologists, the curious public, and museum exhibits and public communications personnel. Among the routine parsing and data sharing activities in the Plazi workflow (Agosti and Egloff 2009), taxonomic treatments, as well as cited figures, are deposited in the Biodiversity Literature Repository (BLR), and occurrence records are shared with the Global Biodiversity Information Facility (GBIF). Treatment citations were enhanced with hyperlinks to the cited treatment on TreatmentBank, and specimen citations were linked to their entries on public facing collections databases. We used the OpenBiodiv biodiversity knowledge graph (Senderov et al. 2017) to discover other taxa mentioned together with T. rex, and to create a timeline of T. rex research to evaluate the impact of individual researchers and specimen repositories to T. rex research. We contributed treatment links to WikiData, and queried WikiData to discover identifiers to different platforms holding data about T. rex. We used bloodhound-tracker.net to disambiguate human agents, like collectors, identifiers, and authors. We evaluate the adequacy of the fields currently available to extract data from taxonomic treatments, and make recommendations for future standards.

scholarly journals Storing, Maintaining and Mobilizing Botswana National Museum’s Entomology Digital Collections: The GBIF/BID Approach

2018 ◽  
Vol 2 ◽  
pp. e26328
Author(s):  
Boikhutso Lerato Rapalai
Keyword(s):  
National Museum ◽  
Global Biodiversity Information Facility ◽  
Digital Collections ◽  
Natural Heritage ◽  
Heritage Sites ◽  
Biodiversity Knowledge ◽  
Insect Biodiversity ◽  
Decision Making Processes ◽  
Global Biodiversity ◽  
Biodiversity Information

The Botswana National Museum is mandated to protect, preserve and promote Botswana’s cultural and natural heritage for sustainable utilization thereof by collecting, researching, conserving and exhibiting for public education and appreciation. The Entomology Section of the museum is aiming towards becoming the national center for entomology collections as well as contributing to the monitoring and enhancement of natural heritage sites in Botswana. The Botswana National Museum entomology collection was assembled over more than three decades by a succession of collectors, curators and technical officers. Specimens are carefully prepared and preserved, labelled with field data, sorted and safely stored. The collection is preserved as wet (ethanol preserved) or as dry pinned specimens in drawers. This collection is invaluable for reference, research, baseline data and educational purposes. As a way of mobilizing insect biodiversity data and making it available online for conservation efforts and decision making processes, in 2016 the Botswana National Museum collaborated with five other African states to implement the Biodiversity Information for Development (BID) and Global Biodiversity Information Facility (GBIF) funded African Insect Atlas’ Project (https://www.gbif.org/project/82632/african-insect-atlas). This collaborative project was initiated to move biodiversity knowledge out of select insect collections into the hands of a new generation of global biodiversity researchers interested in direct outcomes. To date, the Botswana National Museum has been instrumental through the efforts of this project in storing, maintaining and mobilizing insect digital collections and making the data available online through the GBIF Platform.

scholarly journals Quantifying Institutional Reach Through the Human Network in Natural History Collections

2019 ◽  
Vol 3 ◽  
Author(s):  
David Shorthouse ◽  
Roderic Page
Keyword(s):  
Natural History ◽  
Professional Relationships ◽  
Global Biodiversity Information Facility ◽  
Closed Loops ◽  
Natural History Collections ◽  
Darwin Core ◽  
International Audience ◽  
The Impact ◽  
To Receive ◽  
Formal Recognition

Through the Bloodhound proof-of-concept, https://bloodhound-tracker.net an international audience of collectors and determiners of natural history specimens are engaged in the emotive act of claiming their specimens and attributing other specimens to living and deceased mentors and colleagues. Behind the scenes, these claims build links between Open Researcher and Contributor Identifiers (ORCID, https://orcid.org) or Wikidata identifiers for people and Global Biodiversity Information Facility (GBIF) specimen identifiers, predicated by the Darwin Core terms, recordedBy (collected) and identifiedBy (determined). Here we additionally describe the socio-technical challenge in unequivocally resolving people names in legacy specimen data and propose lightweight and reusable solutions. The unique identifiers for the affiliations of active researchers are obtained from ORCID whereas the unique identifiers for institutions where specimens are actively curated are resolved through Wikidata. By constructing closed loops of links between person, specimen, and institution, an interesting suite of potential metrics emerges, all due to the activities of employees and their network of professional relationships. This approach balances a desire for individuals to receive formal recognition for their efforts in natural history collections with that of an institutional-level need to alter budgets in response to easily obtained numeric trends in national and international reach. If handled in a coordinating fashion, this reporting technique may be a significant new driver for specimen digitization efforts on par with Altmetric, https://www.altmetric.com, an important new tool that tracks the impact of publications and delights administrators and authors alike.

scholarly journals Use of European Open Science Cloud and National e-Infrastructures for the Long-Term Storage of Digitised Assets from Natural History Collections

2019 ◽  
Vol 3 ◽  
Author(s):  
Abraham Nieva de la Hidalga ◽  
Nicolas Cazenave ◽  
Donat Agosti ◽  
Zhengzhe Wu ◽  
Mathias Dillen ◽  
...  
Keyword(s):  
Natural History ◽  
Open Science ◽  
Easy Access ◽  
Long Term Storage ◽  
Natural History Collections ◽  
Herbarium Collections ◽  
Access Services ◽  
Term Storage ◽  
Biodiversity Information

Digitisation of Natural History Collections (NHC) has evolved from transcription of specimen catalogues in databases to web portals providing access to data, digital images, and 3D models of specimens. These portals increase global accessibility to specimens and help preserve the physical specimens by reducing their handling. The size of the NHC requires developing high-throughput digitisation workflows, as well as research into novel acquisition systems, image standardisation, curation, preservation, and publishing. Nowadays, herbarium sheet digitisation workflows (and fast digitisation stations) can digitise up to 6,000 specimens per day. Operating those digitisation stations in parallel, can increase the digitisation capacity. The high-resolution images obtained from these specimens, and their volume require substantial bandwidth, and disk space and tapes for storage of original digitised materials, as well as availability of computational processing resources for generating derivatives, information extraction, and publishing. While large institutions have dedicated digitisation teams that manage the whole workflow from acquisition to publishing, other institutions cannot dedicate resources to support all digitisation activities, in particular long-term storage. National and European e-infrastructures can provide an alternative solution by supporting different parts of the digitisation workflows. In the context of the Innovation and consolidation for large scale digitisation of natural heritage (ICEDIG Project 2018), three different e-infrastructures providing long-term storage have been analysed through three pilot studies: EUDAT-CINES, Zenodo, and National Infrastructures. The EUDAT-CINES pilot centred on transferring large digitised herbarium collections from the National Museum of Natural History France (MNHN) to the storage infrastructure provided by the Centre Informatique National de l’Enseignement Supérieur (CINES 2014), a European trusted digital repository. The upload, processing, and access services are supported by a combination of services provided by the European Collaborative Data Infrastructure (EUDAT CDI 2019) and CINES . The Zenodo pilot included the upload of herbarium collections from Meise Botanic Garden (APM) and other European herbaria into the Zenodo repository (Zenodo 2019). The upload, processing and access services are supported by Zenodo services, accessed by APM. The National Infrastructures pilot facilitated the upload of digital assets derived from specimens of herbarium and entomology collections held at the Finnish Museum of Natural History (LUOMUS) into the Finnish Biodiversity Information Facility (FinBIF 2019). This pilot concentrates on simplifying the integration of digitisation facilities to Finnish national e-infrastructures, using services developed by LUOMUS to access FinBIF resources. The data models employed in the pilots allow defining data schemas according to the types of collection and specimen images stored. For EUDAT-CINES, data were composed of the specimen data and its business metadata (those the institution making the deposit, in this case MNHN, considers relevant for the data objects being stored), enhanced by archiving metadata, added during the archiving process (institution, licensing, identifiers, project, archiving date, etc). EUDAT uses ePIC identifiers (ePIC 2019) to identify each deposit. The Zenodo pilot was designed to allow defining specimen data and metadata supporting indexing and access to resources. Zenodo uses DataCite Digital Object Identifiers (DOI) and the underlying data types as the main identifiers for the resources, augmented with fields based on standard TDWG vocabularies. FinBIF compiles Finnish biodiversity information to one single service for open access sharing. In FinBIF, HTTP URI based identifiers are used for all data, which link the specimen data with other information, such as images. The pilot infrastructure design reports describe features, capacities, functions and costs for each model, in three specific contexts are relevant for the implementation of the Distributed Systems of Scientific Collections (DiSSCo 2019) research infrastructure, informing the options for long-term storage and archiving digitised specimen data. The explored options allow preservation of assets and support easy access. In a wider context, the results provide a template for service evaluation in the European Open Science Cloud (EOSC 2019) which can guide similar efforts.

scholarly journals Unlocking the Entomological Collection of the Natural History Museum of Maputo, Mozambique

2021 ◽  
Vol 9 ◽  
Author(s):  
Domingos Sandramo ◽  
Enrico Nicosia ◽  
Silvio Cianciullo ◽  
Bernardo Muatinte ◽  
Almeida Guissamulo
Keyword(s):  
Natural History ◽  
Crucial Role ◽  
Development Programme ◽  
Natural History Museum ◽  
Biodiversity Data ◽  
Global Biodiversity Information Facility ◽  
History Museum ◽  
Data Portal ◽  
Global Biodiversity ◽  
Biodiversity Information

The collections of the Natural History Museum of Maputo have a crucial role in the safeguarding of Mozambique's biodiversity, representing an important repository of data and materials regarding the natural heritage of the country. In this paper, a dataset is described, based on the Museum’s Entomological Collection recording 409 species belonging to seven orders and 48 families. Each specimen’s available data, such as geographical coordinates and taxonomic information, have been digitised to build the dataset. The specimens included in the dataset were obtained between 1914–2018 by collectors and researchers from the Natural History Museum of Maputo (once known as “Museu Alváro de Castro”) in all the country’s provinces, with the exception of Cabo Delgado Province. This paper adds data to the Biodiversity Network of Mozambique and the Global Biodiversity Information Facility, within the objectives of the SECOSUD II Project and the Biodiversity Information for Development Programme. The aforementioned insect dataset is available on the GBIF Engine data portal (https://doi.org/10.15468/j8ikhb). Data were also shared on the Mozambican national portal of biodiversity data BioNoMo (https://bionomo.openscidata.org), developed by SECOSUD II Project.

scholarly journals Join the Dots: Adding collection assessment to collection descriptions

2019 ◽  
Vol 3 ◽  
Author(s):  
Matt Woodburn ◽  
Sarah Vincent ◽  
Helen Hardy ◽  
Clare Valentine
Keyword(s):  
Natural History ◽  
Use Cases ◽  
Global Biodiversity Information Facility ◽  
Reference Case ◽  
Major Barrier ◽  
Data Standard ◽  
Time Investment ◽  
Description Framework ◽  
The Impact ◽  
Biodiversity Information

The natural science collections community has identified an increasing need for shared, structured and interoperable data standards that can be used to describe the totality of institutional collection holdings, whether digitised or not. Major international initiatives - including the Global Biodiversity Information Facility (GBIF), the Distributed System of Scientific Collections (DiSSCo) and the Consortium of European Taxonomic Facilities (CETAF) - consider the current lack of standards to be a major barrier, which must be overcome to further their strategic aims and contribute to an open, discoverable catalogue of global collections. The Biodiversity Information Standards (TDWG) Collection Descriptions (CD) group is looking to address this issue with a new data standard for collection descriptions. At an institutional level, this concept of collection descriptions aligns strongly with the need to use a structured and more data-driven approach to assessing and working with collections, both to identify and prioritise investment and effort, and to monitor the impact of the work. Use cases include planning conservation and collection moves, prioritising specimen digitisation activities, and informing collection development strategy. The data can be integrated with the collection description framework for ongoing assessments of the state of the collection. This approach was pioneered with the ‘Move the Dots’ methodology by the Smithsonian National Museum of Natural History, started in 2009 and run annually since. The collection is broken down into several hundred discrete subcollections, for each of which the number of objects was estimated and a numeric rank allocated according to a range of assessment criteria. This method has since been adopted by several other institutions, including Naturalis Biodiversity Centre, Museum für Naturkunde and Natural History Museum, London (NHM). First piloted in 2016, and now implemented as a core framework, the NHM’s adaptation, ‘Join the Dots’, divides the collection into approximately 2,600 ‘collection units’. The breakdown uses formal controlled lists and hierarchies, primarily taxonomy, type of object, storage location and (where relevant) stratigraphy, which are mapped to external authorities such as the Catalogue of Life and Paleobiology Database. The collection breakdown is enhanced with estimations of number of items, and ranks from 1 to 5 for each collection unit against 17 different criteria. These are grouped into four categories of ‘Condition’, ‘Information’ (including digital records), ‘Importance and Significance’ and ‘Outreach’. Although requiring significant time investment from collections staff to provide the estimates and assessments, this methodology has yielded a rich dataset that supports both discoverability (collection descriptions) and management (collection assessment). Links to further datasets about the building infrastructure and environmental conditions also make it into a powerful resource for planning activities such as collections moves, pest monitoring and building work. We have developed dynamic dashboards to provide rich visualisations for exploring, analysing and communicating the data. As an ongoing, embedded activity for collections staff, there will also be a build-up of historical data going forward, enabling us to see trends, track changes to the collection, and measure the impact of projects and events. The concept of Join the Dots also offers a generic, institution-agnostic model for enhancing the collection description framework with additional metrics that add value for strategic management and resourcing of the collection. In the design and implementation, we’ve faced challenges that should be highly relevant to the TDWG CD group, such as managing the dynamic breakdown of collections across multiple dimensions. We also face some that are yet to be resolved, such as a robust model for managing the evolving dataset over time. We intend to contribute these use cases into the development of the new TDWG data standard and be an early adopter and reference case. We envisage that this could constitute a common model that, where resources are available, provides the ability to add greater depth and utility to the world catalogue of collections.

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