{"title":"A SPREADSHEET MAPPING APPROACH FOR ERROR CHECKING AND SHARING COLLECTION POINT DATA","authors":"D. Foley","doi":"10.17161/BI.V7I3.3986","DOIUrl":"https://doi.org/10.17161/BI.V7I3.3986","url":null,"abstract":"The ready availability of online maps of plant and animal collection locations has drawn attention to the need for georeference accuracy. Many obvious georeference errors, for example, that map land animals over sea, the wrong hemisphere, or the wrong country, may be avoided if collectors and data providers could easily map their data points prior to publication. Various tools are available for quality control of georeference data, but many involve an investment of time to learn the software involved. This paper presents a method for the rapid map display of longitude and latitude data using the chart function in Microsoft Office Excel®, arguably the most ubiquitous spreadsheet software. Advantages of this method include: immediate visual feedback to assess data point accuracy; and results that can be easily shared with others. Methods for making custom Excel chart maps are given, and we provide free charts for the world and a selection of countries at http://www.vectormap.org/resources.htm.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129422320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rationale and Value of Natural History Collections Digitisation","authors":"M. Scoble","doi":"10.17161/BI.V7I2.3994","DOIUrl":"https://doi.org/10.17161/BI.V7I2.3994","url":null,"abstract":"Natural science collections comprise a small component of a more extensive source of data on which questions about the natural world may be addressed. However, NHC data offer, when digitised, an exceptional resource: within collections lies the most extensive dataset that exists of the planet’s biodiversity. Indeed, our entire knowledge of most species is based on just one or very few specimens housed in natural science collections. Nevertheless, for most species, collections provide us with the best record available. The physical presence of specimens allows us to examine them many times using new techniques (e.g. the extraction and study of molecular data). In this article we argue in favor of expedited digitisation of NHC data.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129717328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Thoughts on implementation of the recommendations of the GBIF Task Group on a Global Strategy and Action Plan for Mobilisation of Natural History Collections Data","authors":"N. King, L. Krishtalka, V. Chavan","doi":"10.17161/BI.V7I2.4019","DOIUrl":"https://doi.org/10.17161/BI.V7I2.4019","url":null,"abstract":"The Global Biodiversity Information Facility (GBIF) has a mandate to facilitate free and open access to primary biodiversity data worldwide. This Special Issue of Biodiversity Informatics publishes the findings of the recent GBIF Task Group on a Global Strategy and Action Plan for Mobilisation of Natural History Collections Data (GSAP-NHC). The GSAP-NHC Task Group has made three primary recommendations dealing with discovery, capture, and publishing of natural history collections data. This overview article provides insight on various activities initiated by GBIF to date to assist with an early uptake and implementation of these recommendations. It calls for proactive participation by all relevant players and stakeholder communities. Given recent technological progress and growing recognition and attention to biodiversity science worldwide, we think rapid progress in discovery, publishing and access to large volumes of useful collection data can be achieved for the immediate benefit of science and society.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122043741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using geographical and taxonomic metadata to set priorities in specimen digitization","authors":"W. Berendsohn, P. Seltmann","doi":"10.17161/BI.V7I2.3988","DOIUrl":"https://doi.org/10.17161/BI.V7I2.3988","url":null,"abstract":"Digitizing the information carried by specimens in natural history collections is a key endeavor providing falsifiable information about past and present biodiversity on a global scale, for application in a variety of research fields far beyond the current application in biosystematics. Existing digitization efforts are driven by individual institutional necessities and are not coordinated on a global scale. This led to an over-all information resource that is patchy in taxonomic and geographic coverage as well as in quality. Digitizing all specimens is not an achievable aim at present, so that priorities need to be set. Most biodiversity studies are both taxonomically and geographically restricted, but access to non-digitized collection information is almost exclusively by taxon name. Creating a “Geotaxonomic Index” providing metadata on the number of specimens from a specific geographic region belonging to a specific higher taxonomic category may provide a means to attract the attention of researchers and governments towards relevant non-digitized holdings of the collections and set priorities for their digitization according to the needs of information users outside the taxonomic community.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116671519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Leveraging the fullest potential of scientific collections through digitisation.","authors":"R. Baird","doi":"10.17161/BI.V7I2.3987","DOIUrl":"https://doi.org/10.17161/BI.V7I2.3987","url":null,"abstract":"Access to digitised specimen data is a vital means to distribute information and in turn create knowledge. Pooling the accessibility of specimen and observation data under common standards and harnessing the power of distributed datasets places more and more information and the disposal of a globally dispersed work force, which would otherwise carry on its work in relative isolation, and with limited profile and impact. Citing a number of higher profile national and international projects, it is argued that a globally coordinated approach to the digitisation of a critical mass of scientific specimens and specimen-related data is highly desirable and required, to maximize the value of these collections to civil society and to support the advancement of our scientific knowledge globally.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129112934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TOWARDS DEMAND DRIVEN PUBLISHING: APPROCHES TO THE PRIORITISATION OF DIGITISATION OF NATURAL HISTORY COLLECTIONS DATA","authors":"V. Chavan, P. Berents, M. Hamer","doi":"10.17161/BI.V7I2.3990","DOIUrl":"https://doi.org/10.17161/BI.V7I2.3990","url":null,"abstract":"Natural history collections represent a vast repository of biodiversity data of international significance. There is an imperative to capture the data through digitisation projects in order to expose the data to new and established users of biodiversity data. On the basis of review of current state of digitization of natural history collections, a demand driven approach is advocated through the use of metadata to promote and increase access to natural history collection data.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114497943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Natural History Specimen Digitization: Challenges and Concerns","authors":"A. Vollmar, J. Macklin, L. Ford","doi":"10.17161/BI.V7I2.3992","DOIUrl":"https://doi.org/10.17161/BI.V7I2.3992","url":null,"abstract":"A survey on the challenges and concerns invovled with digitizing natural history specimens was circulated to curators, collections managers, and administrators in the natural history community in the Spring of 2009, with over 200 responses received. The overwhelming barrier to digitizing collections was a lack of funding, based on a limited number of sources, leaving institutions mostly responsible for providing the necessary support. The uneven digitization landscape leads to a patchy accumulation of records at varying qualities, and based on different priorities, ulitimately influencing the data's fitness for use. The survey also found that although the kind of specimens found in collections and their storage can be quite varible, there are many similar challenges when digitizing including imaging, automated text scanning and parsing, geo-referencing, etc. Thus, better communication between domains could foster knowledge on digitization leading to efficiencies that could be disseminated through documentation of best practices and training.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"APPROACHES TO ESTIMATING THE UNIVERSE OF NATURAL HISTORY COLLECTIONS DATA","authors":"Arturo H. Ariño","doi":"10.17161/BI.V7I2.3991","DOIUrl":"https://doi.org/10.17161/BI.V7I2.3991","url":null,"abstract":"This contribution explores the problem of recognizing and measuring the universe of specimen-level data existing in Natural History Collections around the world, in absence of a complete, world-wide census or register. Estimates of size seem necessary to plan for resource allocation for digitization or data capture, and may help represent how many vouchered primary biodiversity data (in terms of collections, specimens or curatorial units) might remain to be mobilized. \u0000Three general approaches are proposed for further development, and initial estimates are given. Probabilistic models involve crossing data from a set of biodiversity datasets, finding commonalities and estimating the likelihood of totally obscure data from the fraction of known data missing from specific datasets in the set. Distribution models aim to find the underlying distribution of collections’ compositions, figuring out the occult sector of the distributions. Finally, case studies seek to compare digitized data from collections known to the world to the amount of data known to exist in the collection but not generally available or not digitized. \u0000Preliminary estimates range from 1.2 to 2.1 gigaunits, of which a mere 3% at most is currently web-accessible through GBIF’s mobilization efforts. However, further data and analyses, along with other approaches relying more heavily on surveys, might change the picture and possibly help narrow the estimate. In particular, unknown collections not having emerged through literature are the major source of uncertainty.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133853370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Summary of Recommendations of the GBIF Task Group on the Global Strategy and Action Plan for the Digitisation of Natural History Collections","authors":"W. Berendsohn, V. Chavan, J. Macklin","doi":"10.17161/BI.V7I2.3989","DOIUrl":"https://doi.org/10.17161/BI.V7I2.3989","url":null,"abstract":"The Global Biodiversity Information Facility’s Task Group has formulated three basic recommendations to the GBIF Governing Board in order to increase the rate of the digitization of natural history collections and improve the usage of this information resource: (i) GBIF must facilitate access to information about non-digitized collection resources by publicizing the research potential of collections through metadata and assessing the number of non-digitized specimens; (ii) GBIF must work with collections to continue to increase the efficiency of specimen data capture and to enhance data quality by means of technical measures, by means of ensuring attribution and professional credit and influencing institutional priorities, and by engaging with funding agencies; (iii) GBIF must continue to improve and promote the global infrastructure used to mobilize digitized collection data through technical measures, outreach activities and political measures.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116822331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BIOLOGICAL TAXONOMY AND ONTOLOGY DEVELOPMENT: SCOPE AND LIMITATIONS","authors":"N. Franz","doi":"10.17161/BI.V7I1.3927","DOIUrl":"https://doi.org/10.17161/BI.V7I1.3927","url":null,"abstract":"The prospects of integrating full-blown biological taxonomies into an ontological reasoning framework are critically reviewed. The common usage of a static 'snapshot' hierarchy in ontological representations of taxonomy is contrasted with a more realistic situation that involves dynamic, piece-meal revisions of particular taxonomic groups and requires alignment with relevant preceding perspectives. Taxonomic practice is characterized by a range of phenomena that are orthogonal to the logical background from which ontological entities and relationships originate, and therefore pose special challenges to ontological representation and reasoning. Among these phenomena are: (1) the notion that there is a single phylogenetic hierarchy in nature which taxonomy can only gradually approximate; (2) the evolvability of taxa which means that taxon-defining features may be lost in subordinate members or independently gained across multiple sections of the tree of life; (3) the hybrid approach of defining taxa both in reference to properties (intensional) and members (ostensive) which undermines the individual/class dichotomy sustaining conventional ontologies; (4) the idiosyncratic yet inferentially valuable usage of Linnaean ranks; (5) the indelible and semantically complex 250-year legacy of nomenclatural and taxonomic changes that characterizes the current system; (6) the insufficient taxonomic exploration of large portions of the tree of life; and the need to use a sophisticated terminology for aligning taxonomic entities in order to integrate both (7) single and (8) multiple hierarchies. It is suggested that research along the taxonomy/ontology interface should focus on either strictly nomenclatural entities or specialize in ontology-driven methods for producing alignments between multiple taxonomies.","PeriodicalId":269455,"journal":{"name":"Biodiversity Informatics","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124480050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}