1,720,981 research outputs found
An Open Source, DDI-based Curation System for Social Science Data
Get PDFPoster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014Posters, Demos and Developer "How-To's"This presentation describes the development of a curatorial system to support a repository for research data from randomized controlled trials in the social sciences. The Institution for Social and Policy Studies (ISPS) at Yale University and Innovations for Poverty Action (IPA) are partnering with Colectica to develop software that structures the curation workflow, including checking data for confidentiality and completeness, creating preservation formats, and reviewing and verifying code. The software leverages DDI Lifecycle – the standard for data documentation – and will enable a seamless framework for collecting, processing, archiving, and publishing data. This data curation software system combines several off-the-shelf components with a new, open source, Web application that integrates the existing components to create a flexible data pipeline. Default components include Fedora Commons, Colectica Repository, and Drupal, but the software is developed so each of these can be swapped for alternatives. The software is designed to integrate into any repository workflow, and can also be incorporated earlier in the research workflow. This presentation will describe the requirements for the new curatorial workflow tool, the components of the system, how tasks are launched and tracked, and the benefits of building an integrated curatorial system for data, documentation, and code.Green, Ann (Digital Lifecycle Research and Consulting)Iverson, Jeremy (Colectica, United States of America)Keleher, Niall (Innovations for Poverty Action, United States of America)Peer, Limor (Yale University, United States of America)Smith, Dan (Colectica, United States of America
Practical Data Curation and Management for Institutional Repositories
Get PDFWorkshop at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014Workshops and TutorialsMany repositories are hearing about research data, especially with the spate of recent initiatives such as the US Office of Science and Technology Policy February 2013 memo, “Increasing Access to the Results of Federally Funded Scientific Research,” and the December 2013 announcement of the Open Research Data pilot in Horizon 2020 in the EU. Some repositories are receiving and storing research data besides publications, and this is bound to increase rapidly, as researchers and institutions seek solutions for publishing and sharing their research data.
This 3-hour workshop will teach participants practical strategies for data curation and management -- i.e., how to plan for, review, assess, and clean data, including confidential and restricted data. The workshop will cover practical strategies for checking and verifying code for data analysis and replication. Examples will come from both quantitative and qualitative social, environmental, and health data. Heavy emphasis will be on exercises, discussion, and showcasing what existing data repositories do. Participants will leave with knowledge and experience of reviewing, assessing, managing and curating data collections, and guidance to provide to researchers producing data.
Participants should bring their own laptop with web browser. A data editor, such as Stata or Excel, is optional but not required.Lyle, Jared (Inter-university Consortium for Political and Social Research (ICPSR), University of Michigan, USA)Van den Eynden, Veerle (UK Data Archive, UK)Green, Ann (Digital Lifecycle Research & Consulting, USA)Peer, Limor (Institution for Social and Policy Studies, Yale University, USA
A Repository on a Mission: A Small Research Community Gets Serious about Reproducibility
Get PDFObjective: To describe the process and challenges of creating a replication data archive at the Institution for Social and Policy Studies (ISPS) at Yale University. The Archive provides open access to research data, links data to publications, and ultimately facilitates reproducibility. Description: The ISPS Data Archive is a digital repository for research produced by scholars affiliated with ISPS, with special focus on experimental design and methods. The primary goal of the Archive is to be used for replicating research results, i.e. by using author-provided code and data. The Archive was launched in September 2010 as a pilot for Yale’s Office of Digital Assets and Infrastructure (ODAI) to find solutions relating to storage, persistent linking, long-term preservation, and integration with a developing institutional repository. Results: Before data publication, Archive staff processes data and code files, including verifying replication, adding metadata, and converting to CSV and R. To date, the ISPS Data Archive has published over 750 files for about 45 studies. Conclusions: The development and implementation of the ISPS Data Archive, though outside the library, raises issues familiar to librarians: the need for clear policies from the institution; the challenge of finding support for the provision of high quality services; the complexity of working in close partnership with IT; the need to keep up with fast-paced changes in technology and in user expectations; and the challenge of bringing about change in community norms and practices. Alongside these practical issues, fundamental questions arise about the appropriate role of the university vs. the disciplines when it comes to data archiving, especially in light of the need to comply with requirements from funders and journals. Related publication: http://www.ijdc.net/index.php/ijdc/article/view/21
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
The Repository as Data (Re) User: Hand Curating for Replication
Get PDFOn August 31, 2010, Yale University’s Institution for Social and Policy Studies launched the ISPS Data Archive (http://isps.yale.edu/research/data).
The motivation for the Archive was to capture and preserve intellectual output produced by scholars affiliated with ISPS, to share data and associated research output, and to link to publications and projects.
The Archive was developed as a pilot for the university (under the Office for Digital Assets and Infrastructure). It provides a model for customized platforms that meet the needs of one research unit, and otherwise relies entirely on Yale IT and library resources (no third party vendors or tools).
The ISPS Data Archive currently holds over 1,000 files for ~55 studies.
ISPS has created policies for users and depositors in consultation with Yale’s General Counsel and the IRB, and in line with best practices among leading social science data archives elsewhere (e.g., ICPSR).
Files are hand-curated: This means that all files are inspected by RAs for PII data and for useable labeling and all program files are run to validate results. (For more background information, see: http://www.ijdc.net/index.php/ijdc/article/view/212.
A matter of integrity: can improved curation efforts prevent the next data sharing disaster?
Get PDFWider openness and access to data may be a necessary first step for scientific and social innovation, but as the controversial release of OK Cupid data highlights, open data efforts must also consider the quality and reproducibility of this data. What would it take for data curation to routinely consider quality and reproducibility as standard practice? Limor Peer suggests some future directions to ensure data quality, consistency, and integrit
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
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