scholarly journals Development of Protocols and Tools to Manage and Archive Data from Aquatic Biodiversity Surveys

2020 ◽  
Vol 4 ◽  
Author(s):  
Willem Coetzer
Keyword(s):  
Data Management ◽  
Acoustic Telemetry ◽  
Fish Larvae ◽  
Systematic Sampling ◽  
Remotely Operated Vehicle ◽  
Aquatic Biodiversity ◽  
Event Class ◽  
Darwin Core ◽  
Archive Data

Traditionally the South African Institute for Aquatic Biodiversity (SAIAB 2020) has focused on discovering and publishing taxonomic knowledge of fishes. Continuing work now encompasses a broader taxonomic range, and over the last decade, research in ecology, conservation biology and natural resource management has become more important. The objective of this case study was to elicit the data management requirements of researchers conducting aquatic biodiversity field surveys (or biodiversity inventories, in the broadest sense of the term, including opportunistic sampling). These requirements were used to develop a prototype solution for research data management (data curation and archiving), supported by various tools, templates and protocols. An important motivation was to publish records standardised according to the Darwin Core Event Class (GBIF 2020a). This would enable analysts to infer species absences, a requirement to develop occupancy models. The scope of the case study included: underwater photographic surveys (using baited remote underwater systems, or BRUVs, as well as video and still photography using a remotely-operated vehicle, and scuba-enabled still photography using a tripod-mounted camera); underwater acoustic telemetry surveys; collection of specimens of fish and fish larvae, invertebrates and amphibians (including opportunistic collecting as well as systematic sampling). underwater photographic surveys (using baited remote underwater systems, or BRUVs, as well as video and still photography using a remotely-operated vehicle, and scuba-enabled still photography using a tripod-mounted camera); underwater acoustic telemetry surveys; collection of specimens of fish and fish larvae, invertebrates and amphibians (including opportunistic collecting as well as systematic sampling). An important part of the case study was to test the degree to which the schema and applications of the Specify suite of software (Specify 2020) could be reused to manage data in which the Darwin Core Event class is as important as the Darwin Core Occurrence class GBIF 2020b. Preliminary findings indicate that this software suite is potentially useful to curate and archive data from these kinds of biodiversity surveys in the described context. In this presentation I will discuss my experience in developing a prototype solution to manage and archive data from biodiversity surveys, specifically to publish data standardised according to the Darwin Core Event class.

scholarly journals GeoNature, Open-Source FAIR Biodiversity Data Management

2021 ◽  
Vol 5 ◽  
Author(s):  
Adrien Pajot ◽  
Aurélie Jambon ◽  
Camille Monchicourt ◽  
Olivier Rovellotti
Keyword(s):  
Data Management ◽  
Open Source ◽  
National Parks ◽  
Open Source Software ◽  
Collaborative Work ◽  
Biodiversity Data ◽  
Darwin Core ◽  
Private And Public ◽  
Research Organisations

Huge improvements have been made throughout the years in collecting and standardising biodiversity data (Bisby 2000, Osawa 2019, Hardisty and Roberts 2013) and in overhauling how to make information in the field of biodiversity data management more FAIR (Findable, Accessible, Interoperable, Reusable) (Simons 2021), but there is still room for improvement. Most professionals working in protected areas, conservation groups, and research organisations lack the required know-how to improve the reuse ratio of their data. The GeoNature and GeoNature-Atlas (Monchicourt 2018, Corny et al. 2019) are a set of open-source software that facilitate data collection, management, validation, sharing (e.g., via Darwin Core standard) and visualisation. It is a powerful case study of collaborative work, which includes teams from private and public sectors with at least fifteen national parks and forty other organisations currently using and contributing to the package in France and Belgium (view it on github).

Data Management 4.0 for Financial Service Authority (FSA): A Case Study in Indonesia

2021 ◽  
Author(s):  
Nilo Legowo ◽  
Gunawan Wang ◽  
Sabiq Adzhani Hammam ◽  
Wirianto ◽  
Ali Gunawan ◽  
...  
Keyword(s):  
Data Management ◽  
Financial Service ◽  
Financial Service Authority

scholarly journals GIS development for ground deformation data management. A case study in Cephallonia island (western Greece)

2007 ◽  
Vol 40 (4) ◽  
pp. 2070 ◽  
Author(s):  
S. Vassilopoulou ◽  
K. Chousianitis ◽  
V. Sakkas ◽  
B. Damiata ◽  
E. Lagios
Keyword(s):  
Spatial Analysis ◽  
Data Management ◽  
Data Base ◽  
Crustal Deformation ◽  
Ground Deformation ◽  
Heterogeneous Data ◽  
Data Vector ◽  
Gis Data ◽  
Western Greece

The present study is concerned with the management of multi-thematic geo-data of Cephallonia Island, related to crustal deformation. A large amount of heterogeneous data (vector, raster, ascii files) involving geology, tectonics, topography, geomorphology and DGPS measurements was compiled. Crustal deformation was studied using GPS network consisting of '23 stations. This was installed and measured in October 2001 and re-measured during September 2003 following the Lefkas earthquake of August 2003 (Mw=6.2), and also in July 2006. With proper spatial analysis, a large number of thematic and synthetic layers and maps were produced. Simultaneously, a GIS Data base was organized in order to make an easy extraction of conclusions in specific questions.

scholarly journals How long can we build it? Ensuring usability of a scientific code base

2021 ◽  
Vol 16 (1) ◽  
pp. 11
Author(s):  
Klaus Rechert ◽  
Jurek Oberhauser ◽  
Rafael Gieschke
Keyword(s):  
Data Management ◽  
Source Code ◽  
Research Data ◽  
Scientific Contribution ◽  
Scientific Publications ◽  
Research Data Management ◽  
Code Base

Software and in particular source code became an important component of scientific publications and henceforth is now subject of research data management.  Maintaining source code such that it remains a usable and a valuable scientific contribution is and remains a huge task. Not all code contributions can be actively maintained forever. Eventually, there will be a significant backlog of legacy source-code. In this article we analyse the requirements for applying the concept of long-term reusability to source code. We use simple case study to identify gaps and provide a technical infrastructure based on emulator to support automated builds of historic software in form of source code.  

scholarly journals Pentingnya Manajemen Data Pengeboran Untuk Meningkatkan Operasi Pengeboran Panas Bumi

2020 ◽  
Vol 2 (2) ◽  
pp. 47-61
Author(s):  
Daniel Adityatama ◽  
◽  
Rizky Mahardhika ◽  
Dorman Purba ◽  
Farhan Muhammad ◽  
...  
Keyword(s):  
Data Management ◽  
Oil And Gas ◽  
Data Management System ◽  
Key Factors ◽  
Drilling Performance ◽  
Geothermal Fields ◽  
Drilling Data ◽  
Cost Efficient ◽  
Geothermal Drilling

Drilling is one of the major cost components in geothermal exploration and development. Effective and cost-efficient drilling significantly contribute to the success of geothermal development. Key factors in reducing drilling costs are optimising operations, utilising manpower to its fullest potential, and also benchmarking with other drilling activities to evaluate one’s performance objectively. This is possible if the information regarding the previous drilling activities is stored and easily gathered and analysed before making plans for the drilling campaign. The importance of drilling data analysis and drilling data management have been a subject of study and discussion since the 1980s, but it is still not that common in geothermal drilling, especially in Indonesia. The purpose of this paper is to summarise the definition and examples of drilling data management in a more well-established industry such as oil and gas from various studies in the past, assess the advantages of having a proper drilling database or data management system, and how can the data be used for potentially improving future drilling operation. A case study of converting legacy data from previous drilling campaign of two geothermal fields in Java into a database is also discussed to demonstrate how legacy drilling data can be used to evaluate drilling performance.

scholarly journals Developing a Strategy for Imputing Missing Traffic Volume Data

2010 ◽  
Author(s):  
Mei Chen ◽  
Jingxin Xia ◽  
Rongfang (Rachel) Liu
Keyword(s):  
Data Management ◽  
Management System ◽  
Implementation Strategy ◽  
Traffic Volume ◽  
Data Management System ◽  
Volume Data ◽  
Potential Resource ◽  
Transportation Applications ◽  
Archive Data

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.

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