scholarly journals Modeling Domain Metadata beyond Metadata Standards

10.9776/16563 ◽  
2016 ◽  
Author(s):  
Jian Qin
Keyword(s):  
Metadata Standards

scholarly journals Film content analysis on FIAF cataloguing rules and CEN metadata standards

2017 ◽  
Vol 54 (1) ◽  
pp. 655-657
Author(s):  
Rubén Domínguez‐Delgado ◽  
María‐Ángeles López Hernández
Keyword(s):  
Content Analysis ◽  
Metadata Standards ◽  
Film Content

scholarly journals Challenges of Building and Maintaining an Image Database: a use case based on the Digital Research Archive for Byzantium (DiFAB)

2017 ◽  
Vol 70 (2) ◽  
pp. 208-224
Author(s):  
Nina Rannharter ◽  
Sarah Teetor
Keyword(s):  
Material Culture ◽  
Image Database ◽  
Complex Nature ◽  
Use Case ◽  
Culturally Specific ◽  
University Of Vienna ◽  
Metadata Standards ◽  
The University ◽  
Case Based ◽  
Digital Research

Due to the complex nature of archival images, it is an ongoing challenge to establish a metadata architecture and metadata standards that are easy to navigate and take into consideration future requirements. This contribution will present a use case in the humanities based on the Digital Research Archive for Byzantium (DiFAB) at the University of Vienna. Tracing one monument and its photographic documentation, this paper will highlight some issues concerning metadata for images of material culture, such as: various analog and digital forms of documentation; available thesauri – including problems of historical geography, multilingualism, and culturally specific terminologies –; and the importance of both precise and imprecise dating for cultural historians and their research archives.

scholarly journals Development of a standard database of reference sites for validating global burned area products

2020 ◽  
Vol 12 (4) ◽  
pp. 3229-3246
Author(s):  
Magí Franquesa ◽  
Melanie K. Vanderhoof ◽  
Dimitris Stavrakoudis ◽  
Ioannis Z. Gitas ◽  
Ekhi Roteta ◽  
...  
Keyword(s):  
Reference Data ◽  
Accuracy Assessment ◽  
Global Scale ◽  
Internal Quality ◽  
Burned Area ◽  
Reference Database ◽  
Reference Information ◽  
Metadata Standards ◽  
International Projects ◽  
High Level

Abstract. Over the past 2 decades, several global burned area products have been produced and released to the public. However, the accuracy assessment of such products largely depends on the availability of reliable reference data that currently do not exist on a global scale or whose production require a high level of dedication of project resources. The important lack of reference data for the validation of burned area products is addressed in this paper. We provide the Burned Area Reference Database (BARD), the first publicly available database created by compiling existing reference BA (burned area) datasets from different international projects. BARD contains a total of 2661 reference files derived from Landsat and Sentinel-2 imagery. All those files have been checked for internal quality and are freely provided by the authors. To ensure database consistency, all files were transformed to a common format and were properly documented by following metadata standards. The goal of generating this database was to give BA algorithm developers and product testers reference information that would help them to develop or validate new BA products. BARD is freely available at https://doi.org/10.21950/BBQQU7 (Franquesa et al., 2020).

scholarly journals Transforming Biodiversity Data into Knowledge for Decision-making

2019 ◽  
Vol 3 ◽  
Author(s):  
Lauren Weatherdon
Keyword(s):  
Decision Making ◽  
Biodiversity Data ◽  
Biodiversity Indicators ◽  
Technological Advances ◽  
Darwin Core ◽  
Metadata Standards ◽  
Essential Biodiversity Variables ◽  
Development Goals ◽  
Multiple Levels ◽  
Communication Needs

Ensuring that we have the data and information necessary to make informed decisions is a core requirement in an era of increasing complexity and anthropogenic impact. With cumulative challenges such as the decline in biodiversity and accelerating climate change, the need for spatially-explicit and methodologically-consistent data that can be compiled to produce useful and reliable indicators of biological change and ecosystem health is growing. Technological advances—including satellite imagery—are beginning to make this a reality, yet uptake of biodiversity information standards and scaling of data to ensure its applicability at multiple levels of decision-making are still in progress. The complementary Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs), combined with Darwin Core and other data and metadata standards, provide the underpinnings necessary to produce data that can inform indicators. However, perhaps the largest challenge in developing global, biological change indicators is achieving consistent and holistic coverage over time, with recognition of biodiversity data as global assets that are critical to tracking progress toward the UN Sustainable Development Goals and Targets set by the international community (see Jensen and Campbell (2019) for discussion). Through this talk, I will describe some of the efforts towards producing and collating effective biodiversity indicators, such as those based on authoritative datasets like the World Database on Protected Areas (https://www.protectedplanet.net/), and work achieved through the Biodiversity Indicators Partnership (https://www.bipindicators.net/). I will also highlight some of the characteristics of effective indicators, and global biodiversity reporting and communication needs as we approach 2020 and beyond.

scholarly journals A Content Analysis of Indian Research Data Repositories Prospects and Possibilities

2019 ◽  
Vol 39 (06) ◽  
pp. 280-289 ◽  
Author(s):  
Raj Kumar Bhardwaj
Keyword(s):  
Application Programming Interface ◽  
Research Data ◽  
Identification System ◽  
Microsoft Excel ◽  
Data Repositories ◽  
Data Formats ◽  
Author Identification ◽  
Metadata Standards ◽  
Application Programming ◽  
Content Coverage

The study aims to trace the development of Indian research data repositories (RDRs) and explore their content with the view of identifying prospects and possibilities. Further, it analyses the distribution of data repositories on the basis of content coverage, types of content, author identification system followed, software and the application programming interface used, subject wise number of repositories etc. The study is based on data repositories listed on the registry of data repositories accessible at http://www.re3data.org.The dataset was exported in Microsoft Excel format for analysis. A simple percentage method was followed in data analyses and results are presented through Tables and Figures. The study found a total of 2829 data repositories in existence worldwide. Further, it was seen that 1526 (53.9 %) are open and 924 (32.4 %) are restricted data repositories. Also, there are embargoed data repositories numbering 225 (8.0 %) and closed ones numbering 154 (5.4 %). There are 2829 RDRs covering 72 countries in the world. The study found that out of total 45 Indian RDRs, only 30 (67 %) are open, followed by restricted 12 (27 %) and 3 (6 %) that are closed. Majority of Indian RDRs (20) were developed in the year 2014. The study found that the majority of Indian RDRs (17) are‘disciplinary’. Further, the study also revealed that statistical data formats are available in a maximum of 31 (68.9 %) Indian RDRs. It was also seen that the majority of Indian RDRs (28) has datasets relating to ‘Life Sciences’. It was identified that only 20% of data repositories have been using metadata standards in metadata; the remaining 80% do not use any standards in metadata entry. This study covered only the research data repositories in India registered on the registry of data repositories. RDRs not listed in the registry of data repositories are left out.

The Concept of Metadata for Digital Information Resources with Special Reference to Dublin Core (DC)

2013 ◽  
pp. 160-170
Author(s):  
Sunil Tyagi
Keyword(s):  
Resource Discovery ◽  
Information Resources ◽  
Digital Information ◽  
Electronic Information ◽  
Electronic Resources ◽  
Dublin Core ◽  
Metadata Standard ◽  
Electronic Information Resources ◽  
Metadata Standards ◽  
Almost All

This chapter defines metadata, their types, creation, and some of the important functions. It enumerates an overview of the basic elements of the Dublin Core Metadata standard, and other metadata standards are also mentioned. The problem has been studied based on the information available in the open literature. As electronic information resources are rising and digital library initiatives are gaining wide acceptance, knowledge of metadata formats will help our library professionals in adapting their skills in cataloguing, classification, subject heading, key wording, and indexing for better inventory and exhaustive usage of electronic information. Metadata serves three general purposes. It supports resource discovery and locates the actual digital resource by inclusion of a digital identifier. As the number of electronic resources grows, metadata is used to create aggregate sites, bringing similar resources together and distinguishing dissimilar resources. The World Wide Web has created a revolution in the accessibility of digital information resources. Metadata is key to ensuring that resources will survive and continue to be accessible into the future. It can be embedded in a digital object or it can be stored separately like library catalogues. The Dublin Core (DC) is the most popular and widely accepted standard proposed to describe almost all categories of networked electronic resources.

Extending Metadata Standards for Historical GIS Research

2016 ◽  
pp. 1243-1265
Author(s):  
Shelley Burleson ◽  
Alberto Giordano
Keyword(s):  
Geographical Information Systems ◽  
Historical Data ◽  
Geographical Information ◽  
Historical Sources ◽  
Historical Gis ◽  
First Case ◽  
Metadata Standards ◽  
Starting Point ◽  
The Holocaust ◽  
Definitive Solution

This chapter proposes a structure for handling commonly observed uncertainties in geo-historical data, using as case studies two historical geographical information systems (HGIS) projects that interweave historical research with the geography of genocide. The first case involves the ghettoization of Budapest's Jews during the Holocaust in the second half of 1944. The more recent work, and the second case, covers the Armenian genocide spanning most of WWI and several years afterwards. The authors suggest using existing metadata standards as one way of handling the inherent uncertainties of geo-historical sources. While not a definitive solution, they argue that such an approach provides a starting point and a platform to conceptually frame the use of geo-historical data in HGIS.

Sign in / Sign up

Export Citation Format

Share Document