1,720,978 research outputs found
You can't replicate what you can't find: Data preservation policies in economic journals
No full textOriginally presented to the 2017 Annual International Association for Social Science Information Services & Technology (IASSIST) Conference, Lawrence, KS.
Recommended citation: Butler, C. R. & Currier, B. D. (2017). You can’t replicate what you can’t find: Data preservation policies in economic journals. Presentation to the 2017 Annual International Association for Social Science Information Services & Technology (IASSIST) Conference, Lawrence, KS. Accessed through LIS Scholarship Archive. Available at http://doi.org/10.17605/OSF.IO/HF3DS
This presentation will review digital preservation strategies of economic journals that have data availability policies. Long-term data preservation is critical for future reproducibility of economic research. A greater focus is being placed on making research data publicly available, but there is a dearth of official policies and discussion in the literature concerning preservation. A sampling of over 250 economics journals was developed by cross-referencing journal impact factors, h5-indices, IDEAS rankings, and Federal Reserve Bank of Kansas City staff authorship and service to the journal. This sampling analyzes whether data preservation policies are present either independently or as part of a larger data availability policy. Preliminary results indicate that while data availability policies are becoming much more common, data preservation policies are practically nonexistent. This has strong implications for future research reproducibility. In response, the Federal Reserve Bank of Kansas City is developing an institutional data preservation platform as an alternative solution.
Updated Research:
Butler, Courtney R., Brett D. Currier, and Kira Lillard. “Safeguarding Research: A Review of Economics Journals’ Preservation Policies for Published Code and Data Files.” Federal Reserve Bank of Kansas City, Research Working Paper no. 21-14, December. https://doi.org/10.18651/RWP2021-1
Research Reproducibility and the Importance of Attachment Level Metadata
No full textOriginally presented to the 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop at the 2017 International Conference on Dublin Core and Metadata Applications, Washington, D.C.
Recommended citation: Currier, B. D. & Butler, C. R. (2017). Research Data Reproducibility and the Importance of Attachment Level Metadata. Presentation to the 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop at the 2017 International Conference on Dublin Core and Metadata Applications, Washington, D.C. Accessed through LIS Scholarship Archive. Available at http://doi.org/10.17605/OSF.IO/7KUGA
Though there are inconsistencies in the way that data reproducibility is currently defined within the social sciences, it is often used to mean simply that data and code are made available as a supplement to a primary object, such as a paper, and that these materials may be used to recreate identical results. However, Clemens asserts that a broader, more clearly defined range of ways in which data may be verified and reused, such as reanalysis and extension, is important in facilitating collaborative discussions that ultimately lead to better research. This presents a new curation challenge and a shift in the purpose of research data metadata as data and code themselves become primary research objects.
Metadata elements either applied within a content management system or embedded within the object itself at the item, collection, or other hierarchical level in a digital collection (herein called attachment level metadata) is an important and often overlooked consideration for the purposes of research data management and reproducibility. Applying metadata at the highest possible level of attachment in a hierarchical object structure can optimize the schema and reduce redundancy (Sundgren, et al.). However, no matter how well-developed a metadata schema is, if an object becomes separated from the schema then it risks losing much of the contextual information necessary for broadly defined reproducibility. For this reason, a selective combination of embedded metadata and associated metadata at multiple hierarchical levels has the potential to be most effective.
With this in mind, the Federal Reserve Bank of Kansas City is currently developing recommendations for file structure and organization, file formats, naming conventions, and metadata schema requirements for research data collections in preparation for implementing a research data preservation platform. These recommendations are based on international standards, such as the Dublin Core Metadata Initiative (DCMI) Metadata Terms, and industry practice, as ascertained from an internally-developed sampling of almost 250 economic journal policies created by cross-referencing journal impact factors, h5-indices, IDEAS rankings, and Federal Reserve Bank of Kansas City staff authorship and service to the journal (Butler and Currier). The various components of the recommendations intersect to support the overall usability, discoverability, interoperability, reproducibility, and preservation of research data as a primary object.
This presentation will discuss the differences in and importance of both associated and embedded metadata at multiple levels of hierarchical attachment and the ways in which internal recommendations in these areas are being developed to optimize the reproducibility of research data.
References
Butler, Courtney R., and Brett D. Currier. 2017. “You Can’t Replicate What You Can’t Find: Data Preservation Policies in Economic Journals,” Presentation at the 43rd IASSIST Annual Conference, Lawrence, KS, May 23-26.
Clemens, Michael A. 2017. “The Meaning of Failed Replications: A Review and Proposal,” Journal of Economic Surveys, vol. 31, no. 1, pp. 326 – 342. Available at https://doi.org/ 10.1111/joes.12139
Sundgren, B., Thygesen, L., and Denis Ward. 2008. “A model for structuring of statistical data and metadata to be shared between diverse national and international statistical systems,” OECD Working Paper. Available at http://www.oecd.org/std/38541998.do
Research Reproducibility and the Importance of Attachment Level Metadata
No full textOriginally presented to the 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop at the 2017 International Conference on Dublin Core and Metadata Applications, Washington, D.C.
Recommended citation: Currier, B. D. & Butler, C. R. (2017). Research Data Reproducibility and the Importance of Attachment Level Metadata. Presentation to the 11th U.S. Networked Knowledge Organization Systems (NKOS) Workshop at the 2017 International Conference on Dublin Core and Metadata Applications, Washington, D.C. Accessed through LIS Scholarship Archive. Available at http://doi.org/10.17605/OSF.IO/7KUGA
Though there are inconsistencies in the way that data reproducibility is currently defined within the social sciences, it is often used to mean simply that data and code are made available as a supplement to a primary object, such as a paper, and that these materials may be used to recreate identical results. However, Clemens asserts that a broader, more clearly defined range of ways in which data may be verified and reused, such as reanalysis and extension, is important in facilitating collaborative discussions that ultimately lead to better research. This presents a new curation challenge and a shift in the purpose of research data metadata as data and code themselves become primary research objects.
Metadata elements either applied within a content management system or embedded within the object itself at the item, collection, or other hierarchical level in a digital collection (herein called attachment level metadata) is an important and often overlooked consideration for the purposes of research data management and reproducibility. Applying metadata at the highest possible level of attachment in a hierarchical object structure can optimize the schema and reduce redundancy (Sundgren, et al.). However, no matter how well-developed a metadata schema is, if an object becomes separated from the schema then it risks losing much of the contextual information necessary for broadly defined reproducibility. For this reason, a selective combination of embedded metadata and associated metadata at multiple hierarchical levels has the potential to be most effective.
With this in mind, the Federal Reserve Bank of Kansas City is currently developing recommendations for file structure and organization, file formats, naming conventions, and metadata schema requirements for research data collections in preparation for implementing a research data preservation platform. These recommendations are based on international standards, such as the Dublin Core Metadata Initiative (DCMI) Metadata Terms, and industry practice, as ascertained from an internally-developed sampling of almost 250 economic journal policies created by cross-referencing journal impact factors, h5-indices, IDEAS rankings, and Federal Reserve Bank of Kansas City staff authorship and service to the journal (Butler and Currier). The various components of the recommendations intersect to support the overall usability, discoverability, interoperability, reproducibility, and preservation of research data as a primary object.
This presentation will discuss the differences in and importance of both associated and embedded metadata at multiple levels of hierarchical attachment and the ways in which internal recommendations in these areas are being developed to optimize the reproducibility of research data.
References
Butler, Courtney R., and Brett D. Currier. 2017. “You Can’t Replicate What You Can’t Find: Data Preservation Policies in Economic Journals,” Presentation at the 43rd IASSIST Annual Conference, Lawrence, KS, May 23-26.
Clemens, Michael A. 2017. “The Meaning of Failed Replications: A Review and Proposal,” Journal of Economic Surveys, vol. 31, no. 1, pp. 326 – 342. Available at https://doi.org/ 10.1111/joes.12139
Sundgren, B., Thygesen, L., and Denis Ward. 2008. “A model for structuring of statistical data and metadata to be shared between diverse national and international statistical systems,” OECD Working Paper. Available at http://www.oecd.org/std/38541998.do
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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