1,721,096 research outputs found
Recomendaciones para implementar un Sistema de Información de Archivos en Argentina
Full text linkFil: Esteva, Maria. The University of Texas at Austin. Texas Advanced Computing Center. Austin, TX; USAFil: Bongiovani, Paola Carolina. Universidad Nacional de Rosario. Facultad de Humanidades y Artes. Centro de Estudios Interdisciplinarios en Bibliotecología y Ciencias de la Información; ArgentinaFil: Uviña, Ramiro Federico. Centro de Documentación e Investigación de la Cultura de las Izquierdas en la Argentina (CeDInCI). Buenos Aires; Argentina.Fil: Gómez, Julián. Centro de Estudios Históricos e Información Parque España. Rosario; Argentin
Replication Data for: Transparency and Accountability in Space Domain Awareness: Demonstrating ASTRIAGraph's Capabilities with the United Nations Registry Data
No full textUnited Nations Objects Launched into Outer Space Register Data
Under the purview of the Office for Outer Space Affairs UNOOSA, The United Nations maintains a Register of Objects Launched into Outer Space (a.k.a. Anthropogenic Space Objects or ASOs) for purposes of assessing peaceful uses of outer space. Maintained since 1962, it was established as a Convention on Registration of Objects Launched into Outer Space in 1976, by which abiding States and international intergovernmental organizations have to implement their own national registries and contribute information to the United Nations Register. UNOOSA is required to publicly disseminate the information provided by States and international intergovernmental organizations about their space objects. In tandem with international space law, the register is useful to identify which States bear "international responsibility and liability" for ASO/s. We use this dataset to implement a case study related to the themes of transparency and accountability.
The United Nations Registration Data Case Study in ASTRIAGraph
Our motivation for this case study is to provide data solutions to trans-disciplinary problems in space safety, security, and sustainability. We measure our progress against these solutions by assessing to what extent our research makes space more transparent, predictable, and develops a body of evidence upon which space actors can be held accountable for their behavior(s). Our ASO digital library of the UN space object registry and index contributes to transparency and accountability.
Within ASTRIAGraph we maintain an up-to-date dictionary of ASOs registered and reflected in the UN registry and index websites. The data is gathered, curated, ingested, and organized within ASTRIAGraph in relation to questions we need to answer. Among other inquiries, using this data we can visualize registered space objects, identify ASO's Launch States’ liability, and assess trends in the registration patterns of these Launch States. Using different fields from the registration information, we calculate the ranking of Launch States in relation to registration promptness.
The Data
The two curated sets of data included in this submission are:
A) allUNregisteredObjects.json: Is the integrated UN register data which includes information from the Online Index, and data extracted from the pdf documents submitted to the registry by States. To acquire the data in this format, we devised and instantiated a process of data retrieval and scrubbing. We began with the acquisition of the space object data catalogued on the UNOOSA website index, along with acquiring the PDFs for the registration documents submitted by the States. Once the files have been gathered, we employ python code to extract all of the raw data from the PDFs into "convertedJSONs". However, the documents have a large variety of formats, data labels, and even different subsets of data, and so post-processing is necessary to declutter and group the data into a few more consistent categories, as well as judge the quality of the data extraction process, while also coupling this data with that we had extracted earlier from the UNOOSA website. Once this post-processing is completed, we have "standardizedJSONs" which are then appended to the master-list of data that we call "allUNregisteredObjects.json".
B) weighted_ranking.csv: The weighted Launch State registration rates derive from the curated allUNregisteredObjects.json file. It establishes a ranking of Launch States in relation to registration promptness. These rankings, set between one and five stars, are first given to individual objects, but countries with many registered ASOs often have outliers with large registration lag. As such, the rankings are scaled higher for states which register larger numbers of ASOs to prevent undue punishment of these countries for their compliance.
Documentation
Included are documentation about the process by which the two data files were produced, and a presentation with results from analyses performed on them.
Usage
These datasets can be reused by policymakers, by industry, by researchers and by the public interested in compliance with international regulations for ASOs.
The demonstration queries for this study case can be found at: http://astriaservices.tacc.utexas.edu/compliance
To visualize ASOs registered with the UNOOSA in ASTRIAGraph, go to: http://astriaservices.tacc.utexas.edu/astriagraph_uno/ </p
Replication Data for: Synchronic Curation for Assessing Reuse and Integration Fitness of Multiple Data Collections
No full textThe dataset in this publication demonstrates the implementation and capabilities of Synchronic Curation (SC) in ASTRIAGraph.
SC is a framework to curate multiple and large datasets for purposes of integration and reuse in research applications. Data driven applications often require data integrated from different large and continuously updated collections. These collections may present gaps and overlaps, or may conflict with or complement each other. Thus, a curation need is to continuously assess if data are fit for integration and reuse. The SC framework involves processing steps to map different collections to a unifying data model that represents research problems in a scientific area as well as the collections' provenance. Data points from the collections that are integrated to the system are mapped to the data model, and a unified data dictionary is maintained centrally and expanded as needed. The data model is implemented in a graph database where collections are continuously ingested and queried. SC includes a collection analysis and comparison module to track collections updates, and to identify gaps, changes, and irregularities within and across them. Users can query the database or access comparison results interactively through an interactive graph.
We present three files:
1) The Synchronic Curation data model's state in ASTRIAGraph up to the date of this publication. The data model includes labeled classes identified by domain scientists as comprising research problems in the space, their corresponding properties. Classes and properties are defined according to a unified data dictionary maintained by the ASTRIAGraph team. Some terms/labels and definitions are extracted from the Unified Astronomy Thesaurus. The names of the collections that are ingested to ASTRIAGraph are also included in the data model, as well as the relationships between their data points to the classes and properties that they had been mapped to.
2) Schema for comparing data fields of two versions of the collection of the United Nations Office for Outer Space Affairs (UNOOSA) Space Object Register.
3) Matrix with the final tally of the comparison of the two versions. The results can be accessed via web based interactive graphs whose URL are noted in the metadata.
Originally developed for ASTRIAGraph, SC can be applied to other areas of knowledge. It is specially useful for very large and frequently updated datasets. This dataset can be used to learn about the methodology used to process the data for SC and to replicate results
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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