Metadata Record Research Articles

Blockchain supported BIM data provenance for construction projects

The management of construction projects requires adequate techniques to support the continual exchange of information across disciplines. Recent advances in Building Information Modelling (BIM) have exposed new ways for process and data integration with open data formats, process mapping, and terminology. In construction projects where multiple disciplines produce and share BIM data, mechanisms for defining information priority, provenance and suitability become necessary in order to have consistent and traceable use of data. This includes objects or collection of attributes for data objects that are associated with a discipline or organisation including clear identification of the transaction that has introduced the information. Blockchain can be used to record metadata of BIM objects such as the issuing discipline, object version and responsibility/ liability associated with the data. Blockchain can offer the capability to apply levels of “trust” to individual BIM objects and a more secured framework of collaboration across stakeholders.This paper proposes a Blockchain-based BIM data provenance model to support information exchange in construction projects. By testing the solution in a real-world bridge construction scenario, it has been shown that the approach can recognise the levels of competence and can improve the process of BIM implementation. The proposed approach gives stakeholders more confidence when sharing their BIM data, reduces costs, and improves risk contingencies in construction projects. The paper provides a cost analysis to evidence the implications of using Blockchain for BIM data provenance through an experimental framework supported by an Ethereum public test network. A front-end web page has also been created to facilitate interaction with smart contracts and to monitor the BIM data provenance process.

Effect of Preprocessing and No of Topics on Automated Topic Classification Performance

The emergence of the Internet has caused an increasing generation of data. A high amount of the data is of textual form, which is highly unstructured. Almost every field i.e, business, engineering, medicine, and science can benefit from the textual data when knowledge is extracted. The knowledge extraction requires the extraction and recording of metadata on the unstructured text documents that constitute the textual data. This phenomenon is regarded as topic modeling. The resulting topics can ease searching, statistical characterization, and classification. Some well-known algorithms for topic modeling include Latent Dirichlet Allocation (LDA), Nonnegative Matrix Factorization (NMF), and Probabilistic Latent Semantic Analysis (PLSA). Different parameters can affect the performance of topic modeling. An interesting parameter could be the time required to perform topic modeling. The fact that time is affected by many factors applicable to topic modeling as well; however, measuring the time concerning some constraints can be beneficial to provide insight. In this paper, we alter some preprocessing steps and topics to study their impact on the time taken by the LDA and NMF topic models. In preprocessing, we limit our study by altering only the sampling and feature subset selection whereas in the second step we have changed the number of topics. The results show a significant improvement in time.

A Review of Pollutant Concentrations in Urban Stormwater Across Eastern Australia, After 20 Years

Concerns about pollutants in urban stormwater were initially raised in the early 1970s. Australian investigations decades later, also found urban stormwater runoff contained elevated levels of sediment and nutrients, as well as heavy metals, that brought stormwater management to the forefront for regulators. Planning policies were implemented to integrate stormwater management into development in the form of water sensitive urban design (WSUD), also known internationally as low-impact design (LID) and Sustainable Urban Design solutions (SUDs). Since their introduction, comprehensive broad scale field research to verify their success in achieving load reduction targets (LRTs), has been limited. Paucity of field data on the performance of WSUD has prompted organisations to initiate their own locally-specific studies. Limited regulatory guidance on design of monitoring programs has resulted in various methodologies and meta-data recording. This research review collates urban stormwater data from 77 Australian studies, from geographic regions of east coast Australia. The raw dataset in this review included 2,836 events and 4,536 individual results, collected between 1993 and 2021 from local councils, research organisations and water authorities. The review examined total suspended solids (TSS), total phosphorus (TP) and total nitrogen (TN) concentrations, prior to any form of treatment measures as they are the focus of current guidelines and standards for stormwater management. Seminal research, used to inform stormwater guidelines and water quality modelling across Australia, is significantly different (p < 0.001), in this case approximately double the reviewed concentrations. International data is also >20% higher, on average. Geographic location of catchments had the greatest influence on pollutant concentrations, after accounting for the effects of land use and catchment urbanisation date (p < 0.001). Based on the findings of this review, generic load reduction targets (expressed as a percentage of annual inputs, e.g. 80% TSS reduction, 45% TN, 45% TP) typical in current Australian planning regulations, may be sub-optimal in achieving receiving water quality goals, particularly given the difficulty of removing pollutants when present in low concentrations. Alternately, place-based discharge targets which meet, or exceed, background water quality, or ecological and hydrological benchmarks may be a more appropriate tool to achieve environmental objectives.

The Sociolinguistic Speech Corpus of Chilean Spanish (COSCACH)

Abstract This paper presents the Sociolinguistic Speech Corpus of Chilean Spanish (COSCACH) v1.0, a 9.3-million-word corpus containing transcribed, lemmatized and morphologically tagged text, audio recordings and videos from 1,237 L1 speakers of Chilean Spanish, as well as a control sample of 21 non-Chilean L1 Spanish speakers. The COSCACH is the first freely available corpus of spoken Chilean Spanish of substantial size, as well as one of the largest speech corpora of any variety of Spanish. Following a review of other Chilean speech corpora, I describe how the COSCACH was constructed, covering corpus design, speaker recruitment and metadata collection, speech elicitation and recording, transcription, lemmatization and morphological tagging, and corpus compilation. I thereby aim to provide a blueprint for creating modern, large-scale speech corpora suitable for phonetic, sociophonetic and sociolinguistic research, in addition to traditional inquiry into semantics, lexis, grammar, pragmatics and discourse.

MANA: Microarchitecting a Temporal Instruction Prefetcher

L1 instruction(L1-l) cache misses are a source of performance bottleneck. While many instruction prefetchers have been proposed, most of them leave a considerable potential uncovered. In 2011, Proactive Instruction Fetch (PIF) showed that a hardware prefetcher could effectively eliminate all instruction-cache misses. However, its enormous storage cost makes it impractical. Consequently, reducing the storage cost was the main research focus in instruction prefetching in the past decade. Several instruction prefetchers, including RDIP and Shotgun, were proposed to offer PIF-level performance with significantly lower storage overhead. However, our findings show that there is a considerable performance gap between these proposals and PIF. While these proposals use different mechanisms for prefetching, the performance gap is mainly not because of the mechanism, and instead, is due to not having sufficient storage. We make the case that the key to designing a powerful and cost-effective instruction prefetcher is choosing a metadata record and microarchitecting the prefetcher to minimize the storage. Our proposal, MANA, offers PIF-level performance with 15.7x lower storage cost. MANA outperforms RDIP and Shotgun by 12.5 and 29%, respectively. We also evaluate a version of MANA with no storage overhead and show that it offers 98% of the peak performance benefits.

Notes Fields in Metadata Records Generated by the Children’s and Young Adults’ Cataloguing Program: Exploration of Support for General Specific Needs of School Library Users

Notes fields in metadata records used in school library catalogs provide important value added and facilitate resource discovery for students and teachers. Variety of notes are intended to support general user tasks, as well as specific user tasks of school library users. The study reported in this paper examined levels and patterns of application of summary notes, audience notes, grade level notes, reading interest level notes, study program information notes, table of contents notes etc. in the bibliographic records created by the United States Library of Congress Children’s and Young Adults’ Cataloguing Program for fiction books between 2014 and 2020.

Orcid roundtrip journal article test

Take a look at the topics on the right to browse and page through our documentation, or search using the box above the topic list Common questions; how do I…? Construct DOI suffixes Verify a metadata registration Update an existing metadata record Interpret and act on reports Query the API to retrieve metadata See system status and maintenance If you have questions please consult other users on our forum at community.

Journal article using orcid

Take a look at the topics on the right to browse and page through our documentation, or search using the box above the topic list Common questions; how do I…? Construct DOI suffixes Verify a metadata registration Update an existing metadata record Interpret and act on reports Query the API to retrieve metadata See system status and maintenance If you have questions please consult other users on our forum at community.

Airpg: automatically accessing the inverted repeats of archived plastid genomes

BackgroundIn most flowering plants, the plastid genome exhibits a quadripartite genome structure, comprising a large and a small single copy as well as two inverted repeat regions. Thousands of plastid genomes have been sequenced and submitted to public sequence repositories in recent years. The quality of sequence annotations in many of these submissions is known to be problematic, especially regarding annotations that specify the length and location of the inverted repeats: such annotations are either missing or portray the length or location of the repeats incorrectly. However, many biological investigations employ publicly available plastid genomes at face value and implicitly assume the correctness of their sequence annotations.ResultsWe introduce airpg, a Python package that automatically assesses the frequency of incomplete or incorrect annotations of the inverted repeats among publicly available plastid genomes. Specifically, the tool automatically retrieves plastid genomes from NCBI Nucleotide under variable search parameters, surveys them for length and location specifications of inverted repeats, and confirms any inverted repeat annotations through self-comparisons of the genome sequences. The package also includes functionality for automatic identification and removal of duplicate genome records and accounts for taxa that genuinely lack inverted repeats. A survey of the presence of inverted repeat annotations among all plastid genomes of flowering plants submitted to NCBI Nucleotide until the end of 2020 using airpg, followed by a statistical analysis of potential associations with record metadata, highlights that release year and publication status of the genome records have a significant effect on the frequency of complete and equal-length inverted repeat annotations.ConclusionThe number of plastid genomes on NCBI Nucleotide has increased dramatically in recent years, and many more genomes will likely be submitted over the next decade. airpg enables researchers to automatically access and evaluate the inverted repeats of these plastid genomes as well as their sequence annotations and, thus, contributes to increasing the reliability of publicly available plastid genomes. The software is freely available via the Python package index at http://pypi.python.org/pypi/airpg.

Investigating the use of metadata record graphs to analyze subject headings in the digital public library of America

PurposeThis study furthers metadata quality research by providing complementary network-based metrics and insights to analyze metadata records and identify areas for improvement.Design/methodology/approachMetadata record graphs apply network analysis to metadata field values; this study evaluates the interconnectedness of subjects within each Hub aggregated into the Digital Public Library of America. It also reviews the effects of NACO normalization – simulating revision of values for consistency – and breaking up pre-coordinated subject headings – to simulate applying the Faceted Application of Subject Terminology to Library of Congress Subject Headings.FindingsNetwork statistics complement count- or value-based metrics by providing context related to the number of records a user might actually find starting from one item and moving to others via shared subject values. Additionally, connectivity increases through the normalization of values to correct or adjust for formatting differences or by breaking pre-coordinated subject strings into separate topics.Research limitations/implicationsThis analysis focuses on exact-string matches, which is the lowest-common denominator for searching, although many search engines and digital library indexes may use less stringent matching methods. In terms of practical implications for evaluating or improving subjects in metadata, the normalization components demonstrate where resources may be most effectively allocated for these activities (depending on a collection).Originality/valueAlthough the individual components of this research are not particularly novel, network analysis has not generally been applied to metadata analysis. This research furthers previous studies related to metadata quality analysis of aggregations and digital collections in general.

Aspects of the Long-Term Preservation of Digitized Catalogue Data: Analysis of the Databases of Integrated Collection Management Systems

Abstract During this research, the catalogues of more than 200 libraries and museums of Hungary and its neighboring countries were examined. The authors calculated the amount and the size of the metadata and of the full content records in the databases of their collection management systems, as well as the size and the type of the full content data and the size of the databases. By analyzing the results, the goal was to answer the following three questions: (1) Can any significant difference be established between the results according to country, nationality, or type of institution?; (2) How large is a metadata record or a full content record?; (3) Is it possible to establish a methodology for selecting a representative sample of institutions to facilitate further research? For planning the costs of data management, the size of the databases, the number of metadata records, and the variability of metadata and media records shall all be considered. A distinction should be made between the indispensable “primary” data to be preserved for a long time, and the “secondary” data units which are derived from the primary data. It is investigated in this article how to establish the size of primary data in the databases of collection management systems.

The NanoInformatics Knowledge Commons: Capturing spatial and temporal nanomaterial transformations in diverse systems

The empirical necessity for integrating informatics throughout the experimental process has become a focal point of the nano-community as we work in parallel to converge efforts for making nano-data reproducible and accessible. The NanoInformatics Knowledge Commons (NIKC) Database was designed to capture the complex relationship between nanomaterials and their environments over time in the concept of an ‘Instance’. Our Instance Organizational Structure (IOS) was built to record metadata on nanomaterial transformations in an organizational structure permitting readily accessible data for broader scientific inquiry. By transforming published and on-going data into the IOS we are able to tell the full transformational journey of a nanomaterial within its experimental life cycle. The IOS structure has prepared curated data to be fully analyzed to uncover relationships between observable phenomenon and medium or nanomaterial characteristics. Essential to building the NIKC database and associated applications was incorporating the researcher's needs into every level of development. We started by centering the research question, the query, and the necessary data needed to support the question and query. The process used to create nanoinformatic tools informs usability and analytical capability. In this paper we present the NIKC database, our developmental process, and its curated contents. We also present the Collaboration Tool which was built to foster building new collaboration teams. Through these efforts we aim to: 1) elucidate the general principles that determine nanomaterial behavior in the environment; 2) identify metadata necessary to predict exposure potential and bio-uptake; and 3) identify key characterization assays that predict outcomes of interest.

Synchronising Spatial Metadata Records and Interfaces to Improve the Usability of Metadata Systems

The spatial data infrastructure literature reveals significant gaps in metadata systems concerning their efficiency and effectiveness for end-users. The literature proposes improvements to make the metadata systems more user-friendly. These improvements include new metadata elements and user interfaces that are in concert with each other. In this paper, we implement the proposed improvements in a prototype system and engage with end-users to assess if the proposals help users’ expectations. The prototype is evaluated by conducting think-aloud protocol (TAP) usability testing and semi-structured interviews with end-users. The result demonstrates an increased level of satisfaction about existing systems and some more areas to improve. We conclude that a synchronised development approach for the spatial metadata and the user interface will increase the usability of the metadata for data discovery and selection.

Hadoop Perfect File: A fast and memory-efficient metadata access archive file to face small files problem in HDFS

HDFS faces several issues when it comes to handling a large number of small files. These issues are well addressed by archive systems, which combine small files into larger ones. They use index files to hold relevant information for retrieving a small file content from the big archive file. However, existing archive-based solutions require significant overheads when retrieving a file content since additional processing and I/Os are needed to acquire the retrieval information before accessing the actual file content, therefore, deteriorating the access efficiency. This paper presents a new archive file named Hadoop Perfect File (HPF). HPF minimizes access overheads by directly accessing metadata from the part of the index file containing the information. It consequently reduces the additional processing and I/Os needed and improves the access efficiency from archive files. Our index system uses two hash functions. Metadata records are distributed across index files using a dynamic hash function. We further build an order-preserving perfect hash function that memorizes the position of a small file's metadata record within the index file.

EchidnaCSI – Improving monitoring of a cryptic species at continental scale using Citizen Science

Short-beaked echidna (Tachyglossus aculeatus) are a cryptic and iconic monotreme found throughout the continent of Australia. Despite observational records spanning many years aggregated in national and state biodiversity databases, the spatial and temporal intensity of sightings is limited. Although the species is of least conservation concern at the global level, a subspecies has been declared endangered on Kangaroo Island in South Australia. We need better population data over the whole continent to inform this species’ conservation management. To increase the temporal and spatial resolution of observations which may be used for more accurate population assessments, we developed a mobile app for citizen scientists to easily record echidna sightings and improve the quantity, quality and distribution of data collected for monitoring this species. EchidnaCSI is a free, cross-platform (Android & iOS), open-source app that we developed to collect echidna observational data around Australia. EchidnaCSI has been in use since September 2017 and uses mobile phone sensors to transparently and automatically record metadata, such as species observation location and time and GPS location precision. We examine differences in spatial coverage between these observations and those in existing data repositories in the Atlas of Living Australia and state biodiversity databases, especially in relation to observations in protected areas and to an index of remoteness and accessibility. EchidnaCSI has contributed over 8000 echidna observations from around Australia, more than recorded in all state systems combined, with similar spatial distribution. Although coverage was more limited in some protected areas than the reference data sources, numbers of observations in all remote areas were greater than the reference scientific data except for very remote regions. EchidnaCSI has improved the spatial and temporal intensity of observations for this iconic species and provides a complement to scientific surveys, which might usefully focus on highly protected areas and very remote regions.

Inclusion and identification of locally-authored items in library collections

This research explores how public libraries support local authors, with a focus on if and how these works are included in library collections and made findable to patrons. Twelve public libraries, four each from British Columbia, Alberta, and Saskatchewan, were selected to analyze collection development policies and item metadata. Qualitative content analysis was used to code collection policies, and systemic analysis of item record metadata was used to understand methods of identifying locally-authored items. The results of this research indicate that collection policies provide both opportunities and barriers for acquisition of locally-authored items, including those items that are self-published. There is a lack of consistent methods for identifying items as locally-authored within item metadata. This research discusses some of the challenges associated with identifying items as locally-authored, and concludes with recommendations for modifying collection policies and methods for identifying items in order to make locally-authored items more accessible and discoverable to the local community.

Enabling Secure and Space-Efficient Metadata Management in Encrypted Deduplication

Encrypted deduplication combines encryption and deduplication in a seamless way to provide confidentiality guarantees for the physical data in deduplicated storage, yet it incurs substantial metadata storage overhead due to the additional storage of keys. We present a new encrypted deduplication storage system called <inline-formula><tex-math notation="LaTeX">${\sf Metadedup}$</tex-math></inline-formula> , which suppresses metadata storage by also applying deduplication to metadata. Its idea builds on indirection, which adds another level of metadata chunks that record metadata information. We find that metadata chunks are highly redundant in real-world workloads and hence can be effectively deduplicated. We further extend <inline-formula><tex-math notation="LaTeX">${\sf Metadedup}$</tex-math></inline-formula> to incorporate multiple servers via a distributed key management approach, so as to provide both fault-tolerant storage and security guarantees. We extensively evaluate <inline-formula><tex-math notation="LaTeX">${\sf Metadedup}$</tex-math></inline-formula> from performance and storage efficiency perspectives. We show that <inline-formula><tex-math notation="LaTeX">${\sf Metadedup}$</tex-math></inline-formula> achieves high throughput in writing and restoring files, and saves the metadata storage by up to 93.94 percent for real-world backup workloads.

Data Mining of MR Technical Parameters

Exposure to radiofrequency (RF) energy during a magnetic resonance imaging exam is a safety concern related to biological thermal effects. Estimation of the specific absorption rate (SAR) is done by manufacturer scanner integrated tools to monitor RF energy. This work presents an exploratory approach of DICOM metadata focused in whole-body SAR values, patient dependent parameters, and pulse sequences. Previously acquired abdominopelvic and head studies were retrieved from a 3 Tesla scanner. Dicoogle tool was used for metadata indexing, mining, and extraction. Specifically weighted pulse sequences were related with weight, BMI, and gender through boxplot diagrams and effect size analysis. A decrease of SAR values with increasing body weight and BMI categories is observable for abdominopelvic studies. Head studies showed different trends regarding distinct pulse sequences; in addition, underage patients register higher SAR values compared to adults. Male individuals register marginally higher SAR values. Metadata recording practices and standardization need to be improved.

Methodological principles to create a metadata extension to the Darwin Core standard for agrobiodiversity data

This research aims to propose principles to creating a metadata extension to the Darwin Core standard that addresses the agrobiodiversity data, with a thematic scope on ecological interactions. These principles have been compiled from the scientific literature, giving special attention to recommendations of the DCMI Abstract Model, which outlines the principles for creating metadata. The DCMI Abstract Model governs the creation of the Dublin Core metadata standard upon which Darwin Core is based. The requirements of ISO/IEC 11179-4/2004 standard for the definition of metadata were also taken into consideration. The research is in progress, so what is exposed in this article are preliminary results. A prototype of a metadata record for the field of ecological interactions, which is the scope of research within agrobiodiversity, was created to demonstrate the format that metadata will have when the extension is finalized. This research represents an initial effort to propose more effective tools for agrobiodiversity data management, but it is necessary to mature and deepen the discussions around the conceptual aspects of the ecological interactions in agrobiodiversity and the relationship of the new metadata extension with the term set of the Darwin Core, as well a robust methodology to create DwC extensions is still pending of being developed.

What Metadata Matters?: Correlation of Metadata Elements with Click-Through Rates for E-Books and Streaming Video in the Academic Library Catalog

ABSTRACT The relationship between metadata and a user’s ability to effectively locate and select a given resource has been a primary interest of library and information professionals. Important questions about how metadata can best meet emerging search behaviors require continuous and engaged analysis. This paper describes such an analysis of click-through rates for e-book and streaming video resources, attempting to correlate use rates with the presence and character of metadata elements in their associated records. We found no strong correlation between the length of a metadata record, or the presence of individual fields, and higher use rates. A discussion of the implications of these findings for further research is presented.