scholarly journals Data Curation Program Development in U.S. Universities: The Georgia Institute of Technology Example

2009 ◽  
Vol 4 (3) ◽  
pp. 83-92 ◽  
Author(s):  
Tyler O. Walters
Keyword(s):  
Program Development ◽  
Research Data ◽  
Data Curation ◽  
Digital Information ◽  
Georgia Institute ◽  
Proposed Model ◽  
Institute Of Technology ◽  
University Experience ◽  
The University ◽  
Similar Development

The curation of scientific research data at U.S. universities is a story of enterprising individuals and of incremental progress. A small number of libraries and data centers who see the possibilities of becoming “digital information management centers” are taking entrepreneurial steps to extend beyond their traditional information assets and include managing scientific and scholarly research data. The Georgia Institute of Technology (GT) has had a similar development path toward a data curation program based in its library. This paper will articulate GT’s program development, which the author offers as an experience common in U.S. universities. The main characteristic is a program devoid of top-level mandates and incentives, but rich with independent, “bottom-up” action. The paper will address program antecedents and context, inter-institutional partnerships that advance the library’s curation program, library organizational developments, partnerships with campus research communities, and a proposed model for curation program development. It concludes that despite the clear need for data curation put forth by researchers such as the groups of neuroscientists and bioscientists referenced in this paper, the university experience examined suggests that gathering resources for developing data curation programs at the institutional level is proving to be a quite onerous. However, and in spite of the challenges, some U.S. research universities are beginning to establish perceptible data curation programs.

scholarly journals Universidad e innovación: de la gestión a la acción en el Tecnológico de Costa Rica (University and Innovation: from the management to the action in the Costa Rica Institute of Technology)

2015 ◽  
Vol 9 (2) ◽  
pp. 19 ◽  
Author(s):  
Rytha Picado Arroyo ◽  
Juan Carlos Carvajal Morales ◽  
Marta Sáenz Muñoz ◽  
María Del Carmen Valverde Solano
Keyword(s):  
Costa Rica ◽  
Focus Groups ◽  
Technological Development ◽  
Innovation Process ◽  
University Environment ◽  
Triple Helix Model ◽  
Triple Hélice ◽  
Proposed Model ◽  
Institute Of Technology ◽  
The University

<p>El presente artículo plantea una propuesta de modelo para gestionar la innovación desde el ámbito universitario. Se aborda la temática desde lo general hasta lo específico. Primero, se plantea un análisis de benchmarking con el fin de conocer las mejores prácticas en el tema, seguido de la revisión, a nivel interno, de la universidad en cuanto a la gestión de la innovación; por último, se diseña un modelo que es sometido a validación a través de focus groups con el fin de obtener el modelo final propuesto. <br />La creación del modelo se basó en dos perspectivas: la perspectiva macro y la perspectiva micro. En la perspectiva macro se empleó la relación entre Estado-universidad-industria que propone el Modelo de la Triple Hélice de Etzkowitz y Leydesdorff, que plantea que la innovación y el desarrollo tecnológico se benefician de las interrelaciones de los entes mencionados anteriormente. En la perspectiva micro se hace un abordaje más detallado de las interrelaciones que se plantea en el modelo macro, pero de manera específica para el Tecnológico de Costa Rica.</p><p> </p><p><strong>Abstract </strong></p><p>This article presents a proposed model for managing innovation in the university environment. The subject is approached from the general to the specific. First, it presents a benchmarking analysis in order to identify best practices in the field; then, an internal review of the university related to the innovation process. Finally, a model was designed and validated through focus groups to obtain the final model proposed.<br />The model design was based in two perspectives: the macro perspective and micro perspective. The macro perspective is based on the industry-stateuniversity linkages present in the Triple Helix Model of Etzkowitz and Leydesdorff, which suggests that innovation and technological development benefits from the interrelationships of these entities. The micro perspective presents a more detailed approach to the interrelationships that arises in the macro model, but specifically for the Tecnológico de Costa Rica.</p><p><strong><br /></strong></p>

scholarly journals Constructing Data Curation Profiles

2009 ◽  
Vol 4 (3) ◽  
pp. 93-103 ◽  
Author(s):  
Michael Witt ◽  
Jacob Carlson ◽  
D. Scott Brandt ◽  
Melissa H. Cragin
Keyword(s):  
Academic Library ◽  
Research Process ◽  
Research Area ◽  
Research Data ◽  
Data Curation ◽  
Library Services ◽  
University Environment ◽  
The Subject ◽  
The University ◽  
Research Domains

This paper presents a brief literature review and then introduces the methods, design, and construction of the Data Curation Profile, an instrument that can be used to provide detailed information on particular data forms that might be curated by an academic library. These data forms are presented in the context of the related sub-disciplinary research area, and they provide the flow of the research process from which these data are generated. The profiles also represent the needs for data curation from the perspective of the data producers, using their own language. As such, they support the exploration of data curation across different research domains in real and practical terms. With the sponsorship of the Institute of Museum and Library Services, investigators from Purdue University and the University of Illinois interviewed 19 faculty subjects to identify needs for discovery, access, preservation, and reuse of their research data. For each subject, a profile was constructed that includes information about his or her general research, data forms and stages, value of data, data ingest, intellectual property, organization and description of data, tools, interoperability, impact and prestige, data management, and preservation. Each profile also presents a specific dataset supplied by the subject to serve as a concrete example. The Data Curation Profiles are being published to a public wiki for questions and discussion, and a blank template will be disseminated with guidelines for others to create and share their own profiles. This study was conducted primarily from the viewpoint of librarians interacting with faculty researchers; however, it is expected that these findings will complement a wide variety of data curation research and practice outside of librarianship and the university environment.

Managing Research Data at the University of Porto

2013 ◽  
pp. 174-197
Author(s):  
João Rocha da Silva ◽  
Cristina Ribeiro ◽  
João Correia Lopes
Keyword(s):  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
Small Scale ◽  
Domain Specific ◽  
Xml Documents ◽  
Research Institution ◽  
The University ◽  
Scale Data

This chapter consists of a solution for the management of research data at a higher education and research institution. The chapter is based on a small-scale data audit study, which included contacts with researchers and yielded some preliminary requirements and use cases. These requirements led to the design of a data curation workflow involving the researcher, the curator, and a data repository. The authors describe the features of the data repository prototype, which is an extension to the widely used DSpace repository platform and introduced a set of features mentioned by the majority of the interviewed researchers as relevant for a data repository. The data repository platform contributes to the curation workflow at the university, with XML technology at its core—data is stored using XML documents, which can be systematically processed and queried unlike its original-format counterpart. This system is capable of indexing, querying, and retrieving, in whole or in part, datasets represented in tabular form. There is also the possibility of using elements from domain-specific XML schemas for the cataloguing process, improving the interoperability and quality of the deposited data.

scholarly journals Conceptualizing Data Curation Activities Within Two Academic Libraries

2018 ◽  
Author(s):  
Sophia Lafferty-Hess ◽  
Julie Rudder ◽  
Moira Downey ◽  
Susan Ivey ◽  
Jen Darragh
Keyword(s):  
Academic Library ◽  
White Paper ◽  
Research Data ◽  
Data Curation ◽  
Research Libraries ◽  
Library Community ◽  
Institute Staff ◽  
Duke University ◽  
Community Data ◽  
The University

A growing focus on sharing research data that meet certain standards, such as the FAIR guiding principles, has resulted in libraries increasingly developing and scaling up support for research data. As libraries consider what new data curation services they would like to provide as part of their repository programs, there are various questions that arise surrounding scalability, resource allocation, requisite expertise, and how to communicate these services to the research community. Data curation can involve a variety of tasks and activities. Some of these activities can be managed by systems, some require human intervention, and some require highly specialized domain or data type expertise. At the 2017 Triangle Research Libraries Network Institute, staff from the University of North Carolina at Chapel Hill and Duke University used the 47 data curation activities identified by the Data Curation Network project to create conceptual groupings of data curation activities. The results of this “thought-exercise” are discussed in this white paper. The purpose of this exercise was to provide more specificity around data curation within our individual contexts as a method to consistently discuss our current service models, identify gaps we would like to fill, and determine what is currently out of scope. We hope to foster an open and productive discussion throughout the larger academic library community about how we prioritize data curation activities as we face growing demand and limited resources.

scholarly journals Report on the 24th International Conference on Case-Based Reasoning Research and Development (ICCBR-2016)

AI Magazine ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 89-90
Author(s):  
Belen Diaz-Agudo ◽  
Ashok K. Goel
Keyword(s):  
Research And Development ◽  
Annual Meeting ◽  
Case Based Reasoning ◽  
Georgia Institute ◽  
International Conference ◽  
Institute Of Technology ◽  
The University ◽  
Case Based

The Twenty-Fourth International Conference on Case-Based Reasoning Research and Development, ICCBR 2016, was held October 31st to November 2nd, in Atlanta, Georgia, USA, colocated with the Fourth International Conference on Design and Creativity. ICCBR is the premier, annual meeting of the CBR community and the leading international conference on this topic. The theme for the ICCBR 2016 was Creativity. The conference chair was Ashok K. Goel, from Georgia Institute of Technology, USA, and the program cochairs were Belen Diaz-Agudo from Complutense University, Spain, and Thomas Roth-Berghofer from the University of West London, UK.

Research data stewardship at the University of Hong Kong

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
SiZhe Xiao ◽  
Tsz Yan Ng ◽  
Tao T. Yang
Keyword(s):  
Hong Kong ◽  
Academic Library ◽  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
Content Type ◽  
Data Infrastructure ◽  
Academic Communities ◽  
Data Stewardship ◽  
The University

PurposeThe purpose of this paper is to look at the journey and experience of the University of Hong Kong (HKU) Research Data Management (RDM) practice to respond to the needs of researchers in an academic library.Design/methodology/approachThe research data services (RDS) practice is based on the FAIR data principle. And the authors designed the RDM Stewardship framework to implement the RDS step by step.FindingsThe HKU Libraries developed and implemented a set of RDS under a research data stewardship framework in response to the recent evolving research needs for RDM amongst the academic communities. The services cover policy and procedure settings for research data planning, research data infrastructure establishment, data curation services and provision of online resources and instructional guidelines.Originality/value This study provides an example of an approach to respond to the needs of the academic libraries about how to start the RDS including the data policy, data repository, data librarianship and data curation.

THE DEVELOPMENT OF THE MATHEMATICAL MODEL OF PREDICTING THE INDICATORS OF ACCREDITATION OF TECHNICAL UNIVERSITIES IN THE RUSSIAN FEDERATION

2017 ◽  
pp. 27-38
Author(s):  
Olga Mikhaylovna Tikhonova ◽  
Alexander Fedorovich Rezchikov ◽  
Vladimir Andreevich Ivashchenko ◽  
Vadim Alekseevich Kushnikov
Keyword(s):  
Mathematical Model ◽  
System Dynamics ◽  
Regression Model ◽  
Oriented Graph ◽  
Real Data ◽  
Educational Process ◽  
Proposed Model ◽  
Linear Differential ◽  
The University ◽  
The Mathematical Model

The paper presents the system of predicting the indicators of accreditation of technical universities based on J. Forrester mechanism of system dynamics. According to analysis of cause-and-effect relationships between selected variables of the system (indicators of accreditation of the university) there was built the oriented graph. The complex of mathematical models developed to control the quality of training engineers in Russian higher educational institutions is based on this graph. The article presents an algorithm for constructing a model using one of the simulated variables as an example. The model is a system of non-linear differential equations, the modelling characteristics of the educational process being determined according to the solution of this system. The proposed algorithm for calculating these indicators is based on the system dynamics model and the regression model. The mathematical model is constructed on the basis of the model of system dynamics, which is further tested for compliance with real data using the regression model. The regression model is built on the available statistical data accumulated during the period of the university's work. The proposed approach is aimed at solving complex problems of managing the educational process in universities. The structure of the proposed model repeats the structure of cause-effect relationships in the system, and also provides the person responsible for managing quality control with the ability to quickly and adequately assess the performance of the system.

INSULATION AGAINST ICE AT MEASURING WEIRS

1974 ◽  
Vol 5 (1) ◽  
pp. 32-49 ◽  
Author(s):  
JOHN TVEIT
Keyword(s):  
Hydraulic Engineering ◽  
Simple Method ◽  
Institute Of Technology ◽  
The University ◽  
Difficult Cases

This article deals with the problem of insulating measuring weirs to avoid ice disturbances. The development of a simple method for insulating a conventional V-weir is described. This method will serve its purpose in many cases. For more difficult cases a special type of a fully insulated weir is described. The experiments described were carried out by The Division of Hydraulic Engineering, The University of Trondheim, The Norwegian Institute of Technology, at the River and Harbour Laboratory of the University, and at the IHD representative basin Sagelva.

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