Biodiversity and Biocollections: Problem of Correspondence

This text is an English translation of those several sections of the original paper in Russian, where collection-related issues are considered. The full citation of the original paper is as following: Pavlinov I.Ya. 2016. [Bioraznoobrazie i biokollektsii: problema sootvetstvia]. In: Pavlinov I.Ya. (comp.). Aspects of Biodiversity. Archives of Zoological Museum of Lomonosov Moscow State University, Vol. 54, Pр. 733–786. Orientation of biology, as a natural science, on the study and explanation of the similarities and differences between organisms led in the second half of the 20th century to the recognition of a specifi c subject area of biological explorations, viz. biodiversity (BD). One of the important general scientifi c prerequisites for this shift was understanding that (at the level of ontology) the structured diversity of the living nature is its fundamental property equivocal to subjecting of some of its manifestations to certain laws. At the level of epistemology, this led to acknowledging that the “diversifi cationary” approach to description of the living beings is as justifi able as the before dominated “unifi cationary” one. This general trend has led to a signifi cant increase in the attention to BD. From a pragmatic perspective, its leitmotif was conservation of BD as a renewable resource, while from a scientifi c perspective the leitmotif was studying it was studying BD as a specifi c natural phenomenon. These two points of view are united by recognition of the need for scientific substantiation of BD conservation strategy, which implies the need for a detailed study of BD itself. At the level of ontology, one of the key problems in the study of BD (leaving aside the question of its genesis) is determination of its structure, which is interpreted as a manifestation of the structure of the Earth’s biota itself. With this, it is acknowledged that the subject area of empirical explorations is not the BD as a whole ( “Umgebung”) but its particular manifestations (“Umwelts”). It is proposed herewith to recognized, within the latter: fragments of BD (especially taxa and ecosystems), hierarchical levels of BD (primarily within- and interorganismal ones), and aspects of BD (before all taxonomic and meronomic ones). Attention is drawn to a new interpretation of bioinformatics as a discipline that studies the information support of BD explorations. An important fraction of this support are biocollections. The scientifi c value of collections means that they make it possible both empirical inferring and testing (verification) of the knowledge about BD. This makes biocollections, in their epistemological status, equivalent to experiments, and so makes studies of BD quite scientific. It is emphasized that the natural objects (naturalia), which are permanently kept in collections, contain primary (objective) information about BD, while information retrieved somehow from them is a secondary (subjective) one. Collection, as an information resource, serves as a research sample in the studies of BD. Collection pool, as the totality of all collection materials kept in repositories according to certain standards, can be treated as a general sample, and every single collection as a local sample. The main characteristic of collection-as-sample is its representativeness; so the basic strategy of development of the collection pool is to maximize its representativeness as a means to ensure correspondence of structure of biocollection pool to that of BD itself. The most fundamental characteristic of collection, as an information resource, is its scientific signifi cance. The following three main groups of more particular characteristics are distinguished: — the “proper” characteristics of every collection are its meaningfulness, informativeness, reliability, adequacy, documenting, systematicity, volume, structure, uniqueness, stability, lability; — the “external” characteristics of collection are resolution, usability, ethic constituent; — the “service” characteristics of collection are its museofication, storage system security, inclusion in metastructure, cost. In the contemporary world, development of the biocollection pool, as a specific resource for BD research, requires considerable organizational efforts, including work on their “information support” aimed at demonstrating the necessity of existence of the biocollections

Community next steps for making globally unique identifiers work for biocollections data

Biodiversity data is being digitized and made available online at a rapidly increasing rate but current practices typically do not preserve linkages between these data, which impedes interoperation, provenance tracking, and assembly of larger datasets. For data associated with biocollections, the biodiversity community has long recognized that an essential part of establishing and preserving linkages is to apply globally unique identifiers at the point when data are generated in the field and to persist these identifiers downstream, but this is seldom implemented in practice. There has neither been coalescence towards one single identifier solution (as in some other domains), nor even a set of recommended best practices and standards to support multiple identifier schemes sharing consistent responses. In order to further progress towards a broader community consensus, a group of biocollections and informatics experts assembled in Stockholm in October 2014 to discuss community next steps to overcome current roadblocks. The workshop participants divided into four groups focusing on: identifier practice in current field biocollections; identifier application for legacy biocollections; identifiers as applied to biodiversity data records as they are published and made available in semantically marked-up publications; and cross-cutting identifier solutions that bridge across these domains. The main outcome was consensus on key issues, including recognition of differences between legacy and new biocollections processes, the need for identifier metadata profiles that can report information on identifier persistence missions, and the unambiguous indication of the type of object associated with the identifier. Current identifier characteristics are also summarized, and an overview of available schemes and practices is provided

Natural History Collections: Teaching About Biodiversity Across Time, Space, and Digital Platforms

Natural history collections offer unique physical and virtual opportunities for formal and informal progressive learning. Collections are unique data in that they each represent a biological record at a single place and time that cannot be obtained by any other method. Collections-based experiences lead to an increased understanding of and substantive interaction with the living world. Global biological diversity and changes in that diversity are directly tracked through specimens in collections, regardless of whether changes are ancient or recent. We discuss how collections, specimens, and the data associated with them, can be critical components linking nature and scientific inquiry. Specimens are the basic tools for educating students and interested citizens through direct or virtual contact with the diversity of collections. Such interactions include instruction in a formal classroom setting, volunteering to gather and curate collections, and informal presentations at coffee shops. We emphasize how the recent surge in specimen-based digitization initiatives has resulted in unprecedented access to a wealth of biodiversity information and how this availability vastly expands the reach of natural history collections. The emergence of online databases enables scientists and the public to utilize the specimens and associated data contained in natural history collections to address global, regional, and local issues related to biodiversity in a way that was unachievable a decade ago

Museum collections: Natural history training bridges time, space, and digital platforms.

Natural history collections offer a number of unique physical and virtual opportunities to create formal and informal progressive learning environments. Collections provide direct interaction with biodiversity as it changes through time and space. Collections-based experiences lead to an increased understanding and substantive interaction with the living world. Recent studies demonstrate how nature and outdoor experiences can improve learning. We discuss how collections, and the data associated with collections, are a critical component linking nature and scientific inquiry. Partnerships that develop around collections and collections-based science can foster innovative educational and research experiences that are enhanced by access to museum specimens. Such collaborations can also facilitate new avenues of learning through not only traditional classroom settings, but also citizen science initiatives, cross-disciplinary field experiences, or other place-based learning environments. We emphasize how the recent surge in specimen-based digitization initiatives has resulted in unprecedented access to a wealth of biodiversity information and how this vastly expands the reach of natural history collections. Natural history collections, the data they contain, and the emergences of digital databases enable scientists and the public to address global, regional, and local issues related to biodiversity that were simply unachievable a decade ago

Can Natural History Museums Capture the Future?

This is the publisher's version, also available electronically from http://bioscience.oxfordjournals.org/content/50/7/611.See article for abstract

A global perspective on decadal challenges and priorities in biodiversity informatics

Biodiversity informatics is a field that is growing rapidly in data infrastructure, tools, and participation by researchers worldwide from diverse disciplines and with diverse, innovative approaches. A recent ‘decadal view’ of the field laid out a vision that was nonetheless restricted and constrained by its European focus. Our alternative decadal view is global, i.e., it sees the worldwide scope and importance of biodiversity informatics as addressing five major, global goals: (1) mobilize existing knowledge; (2) share this knowledge and the experience of its myriad deployments globally; (3) avoid ‘siloing’ and reinventing the tools of knowledge deployment; (4) tackle biodiversity informatics challenges at appropriate scales; and (5) seek solutions to difficult challenges that are strategic

Estado del conocimiento de los Anthribidae (Insecta: Coleoptera: Curculionoidea) de Colombia con clave a los géneros

Anthribidae is a small family of beetles known as fungus weevils, for which the state of knowledge for Colombian species has never been synthesized. Anthribids are scarce in Colombian biological collections and are usually only identified at the family level. We updated the list of species of fungus weevils recorded from Colombia. There are 37 species of anthribids recorded for the country, placed into 14 genera, 10 tribes, and 2 subfamilies. Three additional genera have been observed in the country based on records from the online platform iNaturalist. Verification of these records and species-level identifications require the revision of national biological collections. We discuss the biodiversity of Colombian fungus weevils compared to neighboring countries and provide a key to identify the genera present in Colombia. The species Domoptolis championi Jordan, 1906 is recorded for Colombia for the first time.Anthribidae es una familia pequeña de coleópteros conocidos como gorgojos de los hongos, cuyo conocimiento en Colombia nunca ha sido sintetizado. En las colecciones biológicas colombianas los antríbidos son escasos y por lo general solo están identificados a nivel de familia. Actualizamos el listado de especies de gorgojos de los hongos registrados en Colombia. Existen 37 especies de antríbidos registrados para el país, agrupadas en 14 géneros, 10 tribus y 2 subfamilias. Tres géneros adicionales han sido observados en el país a partir de registros disponibles en la plataforma iNaturalist. La verificación de estos registros requiere la revisión de colecciones biológicas nacionales. Discutimos la biodiversidad de gorgojos de los hongos colombianos comparada con países vecinos y proveemos una clave para identificar los géneros presentes en Colombia. La especie Domoptolis championi Jordan, 1906 se registra para Colombia por primera vez

Towards a biodiversity knowledge graph

One way to think about "core" biodiversity data is as a network of connected entities, such as taxa, taxonomic names, publications, people, species, sequences, images, and collections that form the "biodiversity knowledge graph". Many questions in biodiversity informatics can be framed as paths in this graph. This article explores this futher, and sketches a set of services and tools we would need in order to construct the graph

TOLKIN – Tree of Life Knowledge and Information Network: Filling a Gap for Collaborative Research in Biological Systematics

The development of biological informatics infrastructure capable of supporting growing data management and analysis environments is an increasing need within the systematics biology community. Although significant progress has been made in recent years on developing new algorithms and tools for analyzing and visualizing large phylogenetic data and trees, implementation of these resources is often carried out by bioinformatics experts, using one-off scripts. Therefore, a gap exists in providing data management support for a large set of non-technical users. The TOLKIN project (Tree of Life Knowledge and Information Network) addresses this need by supporting capabilities to manage, integrate, and provide public access to molecular, morphological, and biocollections data and research outcomes through a collaborative, web application. This data management framework allows aggregation and import of sequences, underlying documentation about their source, including vouchers, tissues, and DNA extraction. It combines features of LIMS and workflow environments by supporting management at the level of individual observations, sequences, and specimens, as well as assembly and versioning of data sets used in phylogenetic inference. As a web application, the system provides multi-user support that obviates current practices of sharing data sets as files or spreadsheets via email