scholarly journals State of Digitisation and Gap Analysis Surveys

2018 ◽  
Vol 2 ◽  
pp. e25969
Author(s):  
Sarah Phillips ◽  
Elspeth Haston ◽  
Laura Green ◽  
Marie-Helene Weech ◽  
Robert Cubey ◽  
...  

Recent developments in digitisation technologies and equipment have enabled advances in the rate of natural history specimen digitisation. However Europe’s Natural History Collection Institutions are home to over one billion specimens and currently only a small fraction of these have been digitally catalogued with fewer imaged. It is clear that institutions still face huge challenges when digitising the vast number of specimens in their collections. I will present the results of two surveys that aimed to discover the main successes and challenges facing institutions in their digitisation programmes. The first survey was undertaken in 2014 within the SYNTHESYS 3 project and gathered information from project partners on their current digitisation facilities, equipment and workflows providing some key recommendations based on these findings. The second survey was completed more recently in 2017, through the Consortium of European Taxonomic Facilities (CETAF) Digitisation Working Group. This survey aimed to discover the successful protocols and implementation of digitisation, and to identify the shortfalls in resources and protocols. Results from both surveys will be fed into the future programme of the CETAF Digitisation Working Group as well as forthcoming and proposed EU projects, including Innovation and Consolidation for large-scale Digitisation of natural heritage (ICEDIG).

2020 ◽  
Vol 7 (4) ◽  
pp. 137
Author(s):  
Daniel Schindler

The field of genetic engineering was born in 1973 with the “construction of biologically functional bacterial plasmids in vitro”. Since then, a vast number of technologies have been developed allowing large-scale reading and writing of DNA, as well as tools for complex modifications and alterations of the genetic code. Natural genomes can be seen as software version 1.0; synthetic genomics aims to rewrite this software with “build to understand” and “build to apply” philosophies. One of the predominant model organisms is the baker’s yeast Saccharomyces cerevisiae. Its importance ranges from ancient biotechnologies such as baking and brewing, to high-end valuable compound synthesis on industrial scales. This tiny sugar fungus contributed greatly to enabling humankind to reach its current development status. This review discusses recent developments in the field of genetic engineering for budding yeast S. cerevisiae, and its application in biotechnology. The article highlights advances from Sc1.0 to the developments in synthetic genomics paving the way towards Sc2.0. With the synthetic genome of Sc2.0 nearing completion, the article also aims to propose perspectives for potential Sc3.0 and subsequent versions as well as its implications for basic and applied research.


Author(s):  
Niels Raes ◽  
Emily van Egmond ◽  
Ana Casino ◽  
Matt Woodburn ◽  
Deborah L Paul

With digitisation of natural history collections over the past decades, their traditional roles — for taxonomic studies and public education — have been greatly expanded into the fields of biodiversity assessments, climate change impact studies, trait analyses, sequencing, 3D object analyses etc. (Nelson and Ellis 2019; Watanabe 2019). Initial estimates of the global natural history collection range between 1.2 and 2.1 billion specimens (Ariño 2010), of which 169 million (8-14% - as of April 2019) are available at some level of digitisation through the Global Biodiversity Information Facility (GBIF). With iDigBio (Integrated Digitized Biocollections) established in the United States and with the European DiSSCo (Distributed Systems of Scientific Collections) accepted on the ESFRI roadmap, it has become a priority to digitize natural history collections at an industrialized scale. Both iDigBio and DiSSCo aim at mobilising, unifying and delivering 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. In order to prioritise digitisation based on scientific demand, and efficiency using industrial digitisation pipelines, it is required to arrive at a uniform and unambiguously accepted collection description standard that would allow comparing, grouping and analysing natural history collections at diverse levels. Several initiatives attempt to unambiguously describe natural history collections using taxonomic and storage classification schemes. These initiatives include One World Collection, Global Registry of Scientific Collections (GRSciColl), TDWG (Taxonomic Databases Working Group) Natural Collection Descriptions (NCD) and CETAF (Consortium of European Taxonomy Facilities) passports, among others. In a collaborative effort of DiSSCo, ICEDIG (Innovation and consolidation for large scale digitisation of natural heritage), iDigBio, TDWG and the Task Group Collection Digitisation Dashboards, the various schemes were compared in a cross-walk analysis to propose a preliminary natural collection description standard that is supported by the wider community. In the process, two main user groups of collection descriptions standards were identified; scientists and collection managers. The classification produced intends to meet requirements from them both, resulting in three classification schemes that exist in parallel to each other (van Egmond et al. 2019). For scientific purposes a ‘Taxonomic’ and ‘Stratigraphic’ classification were defined, and for management purposes a ‘Storage’ classification. The latter is derived from specimen preservation types (e.g. dried, liquid preserved) defining storage requirements and the physical location of specimens in collection holding facilities. The three parallel collection classifications can be cross-sectioned with a ‘Geographic’ classification to assign sub-collections to major terrestrial and marine regions, which allow scientists to identify particular taxonomic or stratigraphic (sub-)collections from major geographical or marine regions of interest. Finally, to measure the level of digitisation of institutional collections and progress of digitisation through time, the number of digitised specimens for each geographically cross-sectioned (sub-)collection can be derived from institutional collection management systems (CMS). As digitisation has different levels of completeness a ‘Digitisation’ scheme has been adopted to quantify the level of digitisation of a collection from Saarenmaa et al. 2019, ranging from ‘not digitised’ to extensively digitised, recorded in a progressive scale of MIDS (Minimal Information for Digital Specimen). The applicability of this preliminary classification will be discussed and visualized in a Collection Digitisation Dashboards (CDD) to demonstrate how the implementation of a collection description standard allows the identification of existing gaps in taxonomic and geographic coverage and levels of digitisation of natural history collections. This set of common classification schemes and dashboard design (van Egmond et al. 2019) will be contributed to the TDWG Collection Description interest group to ultimately arrive at the common goal of a 'World Collection Catalogue'.


Author(s):  
Patrick Semal ◽  
Marielle Adam ◽  
Didier Van den Spiegel ◽  
Franck Theeten ◽  
Henry Engledow ◽  
...  

Several initiatives aim to map the diversity of Natural History (NH) collections and standardise their descriptions. The Global Registry of Biodiversity Repositories (GRBio) is the most recent global registry. Unfortunately the server has been down since mid-2018 but the Global Biodiversity Information Facility (GBIF) recently "rescued" this data. In addition to this, the One World Collection exercise is a set of high-level collection descriptors (size, group coverage and geographic distribution) supporting a common strategy between the largest world institutions. Despite these efforts, a large part of the NH collections remains digitally unavailable and digitisation at the specimen level will take several decades. A new NH collections dashboard is needed in order to harmonise the efforts of the institutions. The Consortium of European Taxonomic Facilities (CETAF) is a good place to introduce this excercise. CETAF’s members hold over half of the world’s NH collections, representing 80% of the world's bio- and geo-diversity. Most of these collections are now engaged in the preparation for the common process of the Distributed System of Scientific Collections (DiSSCo, European Strategy Forum on Research Infrastructure). Additionally in Belgium, the Royal Belgian Institute of Natural Sciences (RBINS), Royal Museum of Central Africa (RMCA), Meise Botanic Garden (MBG) and CETAF have joined efforts to set up a common research portal (Natural Heritage, BRAIN-be project). The goal is to link together several collection management systems (CMS) and to (re)create links between isolated collection items. The CETAF collections dashboard splits the information into small metadata units related to topics relevant to the collections (taxonomy, geographic distribution, digitisation strategy and coverage, stratigraphy, etc.). The model allows for the creation of new units without a complete modification of the database structure. All units are defined by the Dublin Core and by fields derived from the Innovation and consolidation for large scale digitisation of natural heritage (ICEDIG) d2.3 deliverable (van Egmond et al. 2019). The object hierarchy allows for the creation of sub-collections and preserves the unity of the information. The CMS has an internal object database with a full index and a faceted search interface. It also has web services and XLS (Microsoft® Excel®) import/export functionalities. The collection dashboard also includes a complete workflow and access rights management at the object level. This is important for the information that is protected by the EU General Data Protection Regulation (GDPR). The dashboard is now being evaluated with the collections hosted by the partners of Natural Heritage. The system will be proposed to CETAF members and connections will be established with the international portals such as the GBIF or the future DiSSCo portal.


2021 ◽  
Vol 06 ◽  
Author(s):  
Ayekpam Chandralekha Devi ◽  
G. K. Hamsavi ◽  
Simran Sahota ◽  
Rochak Mittal ◽  
Hrishikesh A. Tavanandi ◽  
...  

Abstract: Algae (both micro and macro) have gained huge attention in the recent past for their high commercial value products. They are the source of various biomolecules of commercial applications ranging from nutraceuticals to fuels. Phycobiliproteins are one such high value low volume compounds which are mainly obtained from micro and macro algae. In order to tap the bioresource, a significant amount of work has been carried out for large scale production of algal biomass. However, work on downstream processing aspects of phycobiliproteins (PBPs) from algae is scarce, especially in case of macroalgae. There are several difficulties in cell wall disruption of both micro and macro algae because of their cell wall structure and compositions. At the same time, there are several challenges in the purification of phycobiliproteins. The current review article focuses on the recent developments in downstream processing of phycobiliproteins (mainly phycocyanins and phycoerythrins) from micro and macroalgae. The current status, the recent advancements and potential technologies (that are under development) are summarised in this review article besides providing future directions for the present research area.


Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 991
Author(s):  
Peidong Zhu ◽  
Peng Xun ◽  
Yifan Hu ◽  
Yinqiao Xiong

A large-scale Cyber-Physical System (CPS) such as a smart grid usually provides service to a vast number of users as a public utility. Security is one of the most vital aspects in such critical infrastructures. The existing CPS security usually considers the attack from the information domain to the physical domain, such as injecting false data to damage sensing. Social Collective Attack on CPS (SCAC) is proposed as a new kind of attack that intrudes into the social domain and manipulates the collective behavior of social users to disrupt the physical subsystem. To provide a systematic description framework for such threats, we extend MITRE ATT&CK, the most used cyber adversary behavior modeling framework, to cover social, cyber, and physical domains. We discuss how the disinformation may be constructed and eventually leads to physical system malfunction through the social-cyber-physical interfaces, and we analyze how the adversaries launch disinformation attacks to better manipulate collective behavior. Finally, simulation analysis of SCAC in a smart grid is provided to demonstrate the possibility of such an attack.


Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1716
Author(s):  
Adrian Marius Deaconu ◽  
Delia Spridon

Algorithms for network flow problems, such as maximum flow, minimum cost flow, and multi-commodity flow problems, are continuously developed and improved, and so, random network generators become indispensable to simulate the functionality and to test the correctness and the execution speed of these algorithms. For this purpose, in this paper, the well-known Erdős–Rényi model is adapted to generate random flow (transportation) networks. The developed algorithm is fast and based on the natural property of the flow that can be decomposed into directed elementary s-t paths and cycles. So, the proposed algorithm can be used to quickly build a vast number of networks as well as large-scale networks especially designed for s-t flows.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yusuke Yokoyama ◽  
Anthony Purcell

AbstractPast sea-level change represents the large-scale state of global climate, reflecting the waxing and waning of global ice sheets and the corresponding effect on ocean volume. Recent developments in sampling and analytical methods enable us to more precisely reconstruct past sea-level changes using geological indicators dated by radiometric methods. However, ice-volume changes alone cannot wholly account for these observations of local, relative sea-level change because of various geophysical factors including glacio-hydro-isostatic adjustments (GIA). The mechanisms behind GIA cannot be ignored when reconstructing global ice volume, yet they remain poorly understood within the general sea-level community. In this paper, various geophysical factors affecting sea-level observations are discussed and the details and impacts of these processes on estimates of past ice volumes are introduced.


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