Requirement analysis for the DiSSCo research infrastructure

DiSSCo – the Distributed System of Scientific Collections – will mobilise, unify and deliver bio- and geo-diversity information at the scale, form and precision required by scientific communities, and thereby transform a fragmented landscape into a coherent and responsive research infrastructure. At present DiSSCo has 115 partners from 21 countries across Europe. The DiSSCo research infrastructure will enable critical new insights from integrated digital data to address some of the world's greatest challenges, such as biodiversity loss, food security and impacts of climate change. A requirement analysis for DiSSCo was conducted to ensure that all of its envisioned future uses are accommodated through a large survey using epic user stories. An epic user story has the following format: As [e.g. scientist] I want to [e.g. map the distribution of a species through time] so that I [e.g. analyse the impact of climate change] for this I need [e.g. all georeferenced specimens records through time] Several consultation rounds within the ICEDIG community resulted in 78 unique user stories that were assigned to one, or more, out of seven recognized stakeholder categories: - Research, - Collection management, - Technical support, - Policy, - Education, - Industry, and - External. Each user story was assessed for the level of collection detail it required; four levels of detail were recognised: Collection, Taxonomic, Storage unit, and Specimen level. Furthermore, it was assessed whether the future envisioned use of digitised natural history collections were possible without the DiSSCo research infrastructure. Subsequently 1243 identified stakeholders were invited to review the DiSSCo user stories through a Survey Monkey questionnaire. Additionally, an invitation for review was posted in several Facebook groups and announced on Twitter. A total of 379 stakeholders responded to the invitation, which led to 85 additional user stories for the envisioned use of the DiSSCo research infrastructure. In order to assess which component of the DiSSCo data flow diagram should facilitate the described user story, all user stories were mapped to the five phases of the DiSSCo Data Management Cycle (DMC), including data: - acquisition, - curation, - publishing, - processing, and - use. At present, the user stories are being analysed and the results will be presented in this symposium

Requirement analysis for the DiSSCo research infrastructure

DiSSCo – the Distributed System of Scientific Collections – will mobilise, unify and deliver bio- and geo-diversity information at the scale, form and precision required by scientific communities, and thereby transform a fragmented landscape into a coherent and responsive research infrastructure. At present DiSSCo has 115 partners from 21 countries across Europe. The DiSSCo research infrastructure will enable critical new insights from integrated digital data to address some of the world's greatest challenges, such as biodiversity loss, food security and impacts of climate change. A requirement analysis for DiSSCo was conducted to ensure that all of its envisioned future uses are accommodated through a large survey using epic user stories. An epic user story has the following format: As [e.g. scientist] I want to [e.g. map the distribution of a species through time] so that I [e.g. analyse the impact of climate change] for this I need [e.g. all georeferenced specimens records through time] Several consultation rounds within the ICEDIG community resulted in 78 unique user stories that were assigned to one, or more, out of seven recognized stakeholder categories: - Research, - Collection management, - Technical support, - Policy, - Education, - Industry, and - External. Each user story was assessed for the level of collection detail it required; four levels of detail were recognised: Collection, Taxonomic, Storage unit, and Specimen level. Furthermore, it was assessed whether the future envisioned use of digitised natural history collections were possible without the DiSSCo research infrastructure. Subsequently 1243 identified stakeholders were invited to review the DiSSCo user stories through a Survey Monkey questionnaire. Additionally, an invitation for review was posted in several Facebook groups and announced on Twitter. A total of 379 stakeholders responded to the invitation, which led to 85 additional user stories for the envisioned use of the DiSSCo research infrastructure. In order to assess which component of the DiSSCo data flow diagram should facilitate the described user story, all user stories were mapped to the five phases of the DiSSCo Data Management Cycle (DMC), including data: - acquisition, - curation, - publishing, - processing, and - use. At present, the user stories are being analysed and the results will be presented in this symposium

Global legume diversity assessment : concepts, key indicators, and strategies

While many plant species are considered threatened under anthropogenic pressure, it remains uncertain how rapidly we are losing plant species diversity. To fill this gap, we propose a Global Legume Diversity Assessment (GLDA) as the first step of a global plant diversity assessment. Here we describe the concept of GLDA and its feasibility by reviewing relevant approaches and data availability. We conclude that Fabaceae is a good proxy for overall angiosperm diversity in many habitats and that much relevant data for GLDA are available. As indicators of states, we propose comparison of species richness with phylogenetic and functional diversity to obtain an integrated picture of diversity. As indicators of trends, species loss rate and extinction risks should be assessed. Specimen records and plot data provide key resources for assessing legume diversity at a global scale, and distribution modeling based on these records provide key methods for assessing states and trends of legume diversity. GLDA has started in Asia, and we call for a truly global legume diversity assessment by wider geographic collaborations among various scientists.This paper is an outcome of the workshop on the global legume diversity assessment held from 19 to 22 August 2011 in Kyushu University, Japan.The Environment Research and Technology Development Fund (S9) of the Ministry of the Environment, Japan and the JSPS fund for Global Center of Excellence Program “Asian Conservation Ecology”.http://www.botanik.univie.ac.at/iapt/s_taxon.phpam201

Database of butterfly and moth observations in the Netherlands: research from 1947-2020

The Natural History Museum Rotterdam (NMR) is a regional natural history museum in The Netherlands that focuses on nature and biodiversity of the city of Rotterdam and its surroundings. Bureau Stadsnatuur Rotterdam (bSR) is part of the NMR and collects, mainly on behalf of third parties, data on the flora and fauna from primarily urban areas. The NMR has received a large amount of observation data (1,363 different species in 886,902 observations), in particular of moths and mainly from the Provinces of Zuid-Holland, Noord-Holland and Noord-Brabant from the period 1947-2020. The observation dataset was compiled and standardised from 18 different datasets and stored in a database and published at the Global Biodiversity Information Facility (GBIF).For the first time, a large butterfly and moth observations dataset with historical distribution data for The Netherlands is mobilised and serves as a baseline lepidopteran biodiversity record

The floristic position of Java

Volume: 63Start Page: 329End Page: 33

Meijendel research 1953-1960

The dataset contains sampling data of 100 pitfalls that were collected weekly in the Meijendel dune area from March 1953 until March 1960. The dataset contains more than 250 beetle species together with a number of mammal species. The research was done by the Animal Ecology and Plant Ecology group of Leiden University. In particular, drs. G.J. de Bruyn throughout the years has made much effort to empty the pitfalls, identify specimens. In addition, he acted as custodian of the specimen collections and archival records until these could be digitized. Pitfalls were placed in groups of three in replicates of the same set of habitats, running along a gradient from open vegetation dominated by low vegetation (<5cm) and bare sand, through to various stands of woods, groves and shrub dominated vegetations

Meijendel research 1953-1960

The dataset contains sampling data of 100 pitfalls that were collected weekly in the Meijendel dune area from March 1953 until March 1960. The dataset contains more than 250 beetle species together with a number of mammal species. The research was done by the Animal Ecology and Plant Ecology group of Leiden University. In particular, drs. G.J. de Bruyn throughout the years has made much effort to empty the pitfalls, identify specimens. In addition, he acted as custodian of the specimen collections and archival records until these could be digitized. Pitfalls were placed in groups of three in replicates of the same set of habitats, running along a gradient from open vegetation dominated by low vegetation (<5cm) and bare sand, through to various stands of woods, groves and shrub dominated vegetations

vanProosdij_et_al_2015_Ecography_A3_ReadMe

This manual provides a brief explanation of the Appendices A4-A9. It describes the input, output and data fromat requirements of each R script in the Appendices