Academic libraries have the capacity to create and curate data about scholars affiliated with their institutions. We expect that the data set we built in Wikidata will help our institution better understand and describe the value of this school to global research on philanthropic giving and nonprofit management. Our pilot project is just a first step toward more efficient and systematic library-based contributions to Wikidata.
This presentation will cover a case study for using Boolean queries to scope custom categories, provide a Boolean query syntax primer, and then present a step-by-step process for building a Boolean query categorizer. Taxonomy Strategies has been working with RWJF to develop an enterprise metadata framework and taxonomy to support needs across areas including program management, research and evaluation, communications, finance, etc.
We have also been working with RWJF on methods to apply automation to support taxonomy development and implementation within their various information management applications. Machine learning has become a popular and hyped method promoted by large information management application vendors including Microsoft, IBM, Salesforce and others.
The problem is that machine learning is opaque. The problem is that the categories are generic, may be irrelevant, can be biased, and are difficult to change or tune. Pre-defined categories e. The benefit is relevant categories. The problem is that pre-defined categories requires work to set up, and specialized skills. But how hard is it do this?
Categorization is a common human behavior and it has many social implications. While categorization helps us make sense of the world around us, it also affects how we perceive the world, what we like and dislike, who we feel comfortable with and who we fear. Categorization is affected by our family, culture and education.
But we can take responsibility for our own perceptions, misperceptions can be pointed out and sometimes changed. But what about categorization imposed outside of us that affects us. Should that be allowed? How is that determined? How can it be changed? These are difficult issues. For information aggregators and information analyzers, the guidelines for appropriate behavior are not always clear, nor is the responsibility for outcomes as a result of errors, bias and worse … When errors and bias are commonly held, this can be reflected in the information ecology.
DCMI: Using Dublin Core
The tipping point need not be a majority, truth or based on ethics. What can you do about it? Metadata plays a fundamental role beyond classified data, as data needs to be transformed, integrated, and transmitted. Like data, metadata needs to be harvested, standardized and validated. Metadata management processes require resources.
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The challenge for organizations is to make the processes more efficient, while maintaining and even increasing confidence in their data. While RDF harvesting has already become an important step implemented at large scale European Data Portal , there is now a need to introduce a RDF validation mechanism. However such a mechanism will depend upon the definition of RDF standards.
When a standard is set, the provision of a validation service is necessary to determine if metadata complies, as for example with the HTML validation service. The development of Metadata Application Profiles is done in several phases.
According to the Me4MAP method, one of this phases is the validation of the domain model. The development of the domain model ran with two steps of construction and two of validation. The validation steps drew on the participation of specialists in European poetry and the use of real resources. On the first validation we used tables with information about resources related properties and for which the experts had to fill certain fields like, for examples, the values.
The second validation used a XML framework to control the input of values in the model. The validation process allowed us to find and fix flaws in the domain model that would otherwise have been passed to the Description Set Profile and possibly would only be found after implementing the application profile in a real case. More specifically, ARM facilitates the descriptive needs of the art and rare materials communities in areas such as exhibitions, materials, measurements, physical condition and much more.
Between April and February , work focused on modeling. Since these application profiles are being implemented in VitroLib, catalogers will be able to test the ARM modeling in a real-world environment, providing feedback to the project for potential future development. This presentation will provide an overview of select ARM modeling components, detail the process of creating and defining SHACL application profiles for ARM, and discuss challenges and opportunities for implementing these profiles in VitroLib.
Further, we will discuss our strategy for low-threshold hosting of the ontology and administrative questions regarding long-term maintenance of this BIBFRAME extension. It is a collaborative project between India and Portugal that is focused on defining a Semantic Web framework to consolidate players of the informal sector, enabling a paradigm shift. The Indian economy can be categorized into two sectors: formal and informal.
The informal sector economy differs from the formal as it is an unorganized sector and comprised of economic activities that are not covered by formal arrangements such as taxation, labor protections, minimum wage regulations, unemployment benefits, or documentation. The major economy in India depends on the skilled labor of this informal sector such e. The informal sector is mainly made of skilled people that follow their family job traditions, sometimes they are not even formally trained.
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This sector struggles with the lack of information, data sharing needs and interoperability issues across systems and organizational boundaries. In fact, this sector does not have any visibility to the society not having the possibility to do business as most of the agents of this sector do not reach the end of the chain.
This blocks them from getting proper exposure and a better livelihood. The diversity of research topics and resulting datasets in the field of Ecology has grown in line with developments in research data management. Based on a meta-analysis performed on 93 scientific references, this paper presents a comprehensive overview of the use of metadata models in the ecology domain through time.
Overall, 40 metadata models were found to be either referred or used by the biodiversity community from to In the same period, 50 different initiatives in ecology and biodiversity were conceptualized and implemented to promote effective data sharing in the community. A relevant concern that stems from this analysis is the need to establish simple methods to promote data interoperability and reuse, so far limited by the production of metadata according to different standards.
With this study, we also highlight challenges and perspectives in research data management in the domain of Ecology towards best practice guidelines. There are many digital collections of cultural and historical resources, referred to as digital archives in this paper. Domains of digital archives are expanding from traditional cultural heritage objects to new areas such as pop-culture and intangible objects. Though it is known that metadata models and authority records, such as subject vocabularies, are essential in building digital archives, they are not yet well established in these new domains.
Another crucial issue is semantic linking among resources within a digital archive and across digital archives. Metadata aggregation is an essential aspect for the resource linking. This paper overviews three metadata-centric on-going research projects by the authors and discuss some lessons learned from the projects. The subject domains of these research projects are disaster records of the Great East Japan Earthquake happened in , Japanese pop-culture such as Manga, Anime and Game, and cultural heritage resources in South and Southeast Asia.
These domains are poorly covered by conventional digital archives by memory institutions because of the nature of the contents. The main goal of this paper is not to report those projects as completed research, but to discuss issues of metadata models and aggregation which are important in organizing digital archives in the Web-based information environment.
For this study, literature reviews and case study are carried on. We analyzed the characteristics of three services — 1 subject domain, 2 volumes of bibliographic, authority, and subject data, 3 bibliographic, name, and subject ontology, 4 local ontology, and 5 interlinking external LOD. Also all services have their own ontology — properties and classes.
These local property and class has not consistency and has potential conflict between ontology. In aspect requirements for metadata, interoperability is very important requirement. The reason that locals developed their own ontology is lack of classes and properties for describing data for constructing LOD.
The aim of this poster is to analyze name authority control in two institutional repositories to determine the extent to which faculty researchers are represented in researcher identifier databases. We first analyzed the results locally, then compared them between the two institutions. Additionally, the results show that the majority of authors at each institution are represented in two or three external databases. This has implications for enhancing local authority data by linking to external identifier authority data to augment institutional repository metadata.
Benefits of visualization have been discussed widely and it is actually implemented into library services. One of the challenges working with library catalog records for visualization is a sheer number of elements included in the MAchine-Readable Cataloging MARC format record, such as control field, data field, subfield, and indicators, used to describe library resources.
As is well-known, there are more than 1, fields in the MARC, which is just too many to use for visualization Moen and Benardino, Instead of showing a clear relationship between resources, it may muddle those relationships since there are so many elements to include in visualization. The question then is whether all information included in the library catalog record should be used for discovery and visualization services, and if not, which should be the essential information to be included.
Launched in October, by the Galter Health Sciences Library, the DigitalHub repository is designed to capture and preserve the scholarly outputs of Northwestern Medicine. A major motivation to deposit in the repository is the possibility of improved citations and discovery of resources, however one of the largest barriers hampering discovery is a lack of descriptive metadata. Because DigitalHub was designed for ease of use, very minimal metadata is required in order to successfully deposit a resource. However, many optional descriptive metadata fields are also made available to encourage the consistent and detailed entry of descriptive information.
The library was curious to evaluate how users were approaching available metadata fields and accompanying instructions prior to the library's performance of metadata enhancement operations. In order to evaluate user-supplied metadata, an export was made of all of the metadata in DigitalHub for a 2.
Records previously enhanced by librarians, or records initially deposited by library staff were excluded from consideration. The metadata was then evaluated for completeness, choice of dropdown terms for resource type, inclusion of collaborators, use of controlled vocabulary fields, and any areas that indicated a clear misunderstanding of the intended use of the metadata field. This poster presents the preliminary findings of this analysis of user-supplied metadata. It is hoped that the findings of this analysis will help guide future system and interface design decisions, cleanup activities, and library instruction activities.
Ultimately the goal is to make the interface as usable and effective as possible to encourage depositors to supply an optimal amount of descriptive metadata upfront, and to continue using the repository in the future.
These results should be of interest to repository managers that rely on users to supply initial descriptive metadata, especially for health sciences disciplines. Metadata is a nonprofit collaboration that advocates and seeks richer, connected, and reusable, open metadata for all research outputs.