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Data at work

Jeremy P. Birnholtz, Matthew J. Bietz
2003 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work - GROUP '03  
Data are a fundamental component of science and engineering work, and the ability to share data is critical to the validation and progress of science.  ...  This paper argues that the development of effective CSCW systems to support data sharing in work groups requires a better understanding of the use of data in practice.  ...  This research was supported in part by the John Evans Foundation, the Waterford Project, and National Science Foundation grants IIS 0085951 and CMS 0117853.  ... 
doi:10.1145/958214.958215 fatcat:rrb3syzdd5dp3ly7wwkrrpp46q

Data at work

Jeremy P. Birnholtz, Matthew J. Bietz
2003 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work - GROUP '03  
Data are a fundamental component of science and engineering work, and the ability to share data is critical to the validation and progress of science.  ...  This paper argues that the development of effective CSCW systems to support data sharing in work groups requires a better understanding of the use of data in practice.  ...  This research was supported in part by the John Evans Foundation, the Waterford Project, and National Science Foundation grants IIS 0085951 and CMS 0117853.  ... 
doi:10.1145/958160.958215 dblp:conf/group/BirnholtzB03 fatcat:qvawu4ggifg57j7tcrnvco2hqy

An Efficient Power Control Algorithm for Supporting Cognitive Communications in Shared Spectrum Areas [chapter]

Mahdi Pirmoradian, Christos Politis, Emmanouil A. Panaousis
2010 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
The concept of Cognitive Radio (CR) is meant to be utilised by both licensed and license-exempt users that coexist in a shared spectrum area whenever they need to avoid causing unaffordable interference  ...  In this work we assume that a CR network relies on the same spectrum area with a primary network.  ...  In future work, we plan to simulate several CRs that will share the common spectrum with a primary user and they will be laid in the critical common interference area.  ... 
doi:10.1007/978-3-642-16644-0_43 fatcat:6cdbknrqyncvlpwangi6m2po3a

Using Big Data to Advance the Science of Team Effectiveness [chapter]

2015 Big Data at Work  
Second, the vast majority of people conducting big data research today have come to the work via engineering, mathematics, and computer science channels, rather than psychology.  ...  , and consumer surplus . . . " -James Manyika et al., McKinsey Global Institute (2011) "Work-force science, in short, is what happens when big data meets H.R. . . .  ... 
doi:10.4324/9781315780504-17 fatcat:6h56mjiahnaqrbn7b4vbrssqem

Research Data Management Tools and Workflows: Experimental Work at the University of Porto

Cristina Ribeiro, João Rocha da Silva, João Aguiar Castro, Ricardo Carvalho Amorim, João Correia Lopes, Gabriel David
2018 IASSIST Quarterly  
For groups demanding a domain-specific approach, our analysis has resulted in the development of models and applications to organize the data and support some of their use cases.  ...  Our work aims to promote data publication in research institutions, considering that researchers are the core stakeholders and need straightforward workflows, and that multi-disciplinary tools can be designed  ...  The NCBI (NCBI Resource Coordinators, 2013) in the life sciences and ICPSR (Doty et al., 2015) in social sciences are good examples of stable infrastructures supporting large communities and used by  ... 
doi:10.29173/iq925 fatcat:vw5flilo7nd7ba2z57fp2vfmda

Finding Pluto: An Analytics-Based Approach to Safety Data Ecosystems

Thomas T. Barker
2020 Safety and Health at Work  
For each of these data sources, the article points out how emerging analytic data sources (such as Industry 4.0 and the Internet of Things) broaden and challenge the scope of work and operational roles  ...  A review of existing conventional safety data sources (safety data, internal data, external data, and context data) is briefly summarized as a baseline.  ...  Tasks: The key task is integrating various strategic perspectives (internal cohesion, ecosystem identity, knowledge work flows, resource sharing protocols, data access principles, and repository sharing  ... 
doi:10.1016/j.shaw.2020.09.010 pmid:33732523 pmcid:PMC7940127 fatcat:hx3hw6trdnhajbbtitixh6ywaa

Looking at data

Dror G. Feitelson
2008 Proceedings, International Parallel and Distributed Processing Symposium (IPDPS)  
Collecting and analyzing data lies at the basis of the scientific method: findings about nature usher new ideas, and experimental results support or refute theories.  ...  In all the cases, the emphasis is not on heroic data collection efforts, but rather on a fresh look at existing data, and uncovering surprising, interesting, and useful information.  ...  Acknowledgments Parts of this work were supported by the Israel Science Foundation (grant no. 167/03).  ... 
doi:10.1109/ipdps.2008.4536092 dblp:conf/ipps/Feitelson08 fatcat:q3zuk4xnwfcl7lmrbapiqz2gzi

Research Data Management Implementation at Peking University Library: Foster and Promote Open Science and Open Data

Hua Nie, Pengcheng Luo, Ping Fu
2021 Data Intelligence  
lifecycle and enhanced open science practices on campus, as well as impacted the national open science movement in China through various national events and activities hosted by the PKUL.  ...  The authors of the paper have also observed since the PKU-ORDR and RDM services implemented in 2015, the Peking University Library (PKUL) has helped numerous researchers to support the entire research  ...  Luo (luopc@ lib.pku.edu.cn) mainly contributed to the RDM Implementation especially with a focus on "The Establishment of the Open Research Data Repository" and "Usage, Data Curation, Skills Training and  ... 
doi:10.1162/dint_a_00088 fatcat:33nj4vedanattjufdppbvbydfm

Data management at scale

G. Sayeed Choudhury
2016 Information Services and Use  
By doing so, it may be possible to support broader goals of data management at scale, identify network effects through linked data and highlight possibilities for partnerships, including with the corporate  ...  resources for data management.  ...  Predictive data analytics At the JHU Institute for Data Intensive Engineering and Science (IDIES) 2014 annual symposium, Professor Steven Salzberg from JHU's Department of Medicine and Biostatics spoke  ... 
doi:10.3233/isu-160795 fatcat:spqodg4wefhtbdndoednm2dqtu

Disciplinary Case Study: Data Management Support at TU Delft [article]

Jasmin K. Böhmer, Alastair Dunning
2019 Zenodo  
What are the main needs and challenges in terms of RDM support? Is there a data policy in place at the faculty or research group level?  ...  It focuses on data management support at the Delft University of Technology and answers some of the following questions: Which services or types of support do researchers expect?  ...  from technical and engineering sciences were interviewed about their FAIR data habits. 6 The following summaries are drawn from interviews with three disciplines at TU Delft: Aerospace Engineering, Technology  ... 
doi:10.5281/zenodo.2668406 fatcat:77vz5x4cu5g6rjlezfp566sfpq

Looking at Data Science through the Lens of Scheduling and Load Balancing [chapter]

Diórgenes Eugênio da Silveira, Eduardo Souza dos Reis, Rodrigo Simon Bavaresco, Marcio Miguel Gomes, Cristiano André da Costa, Jorge Luis Victoria Barbosa, Rodolfo Stoffel Antunes, Alvaro Machado Júnior, Rodrigo Saad, Rodrigo da Rosa Righi
2020 Scheduling Problems - New Applications and Trends [Working Title]  
In this context, this chapter proposes an analysis of scheduling and load balancing from the perspective of data science scenarios.  ...  While few studies explore the use of HPC for data science tasks, in the best of our knowledge, none conducts an in-depth analysis of scheduling and load balancing on such workflows.  ...  13 Looking at Data Science through the Lens of Scheduling and Load Balancing DOI: http://dx.doi.org /10.5772/intechopen.92578  ... 
doi:10.5772/intechopen.92578 fatcat:z6q7nucjtbaltdrgxfanncp2f4

Increasing best practice data sharing at PLOS Pathogens

Lauren Cadwallader, Kasturi Haldar, Michael H. Malim
2021 PLoS Pathogens  
In fact, in 2020, 75% of research articles published in PLOS Pathogens shared at least some of the data underlying their research in the Supporting information.  ...  Current data sharing at PLOS Pathogens Since 2014, all PLOS journals have mandated the sharing of research data, and PLOS Pathogens has seen a steady increase in the use of repositories from 16% of research  ...  Acknowledgments The authors would like to thank Eileen Clancy, Iain Hrynaszkiewicz, and Lindsay Morton for comments on an earlier draft.  ... 
doi:10.1371/journal.ppat.1010021 pmid:34762715 pmcid:PMC8584965 fatcat:p7s7rfrthbgsrbg64tbfpg6fii

Science Archives At The Esac Science Data Centre

Christophe Arviset
2015 Zenodo  
The ESDC consists of a team of scientists and engineers working together and in very close collaboration with Science Ground Segments teams.  ...  The ESAC Science Data Centre (ESDC) provides services and tools to access and retrieve science data from all ESA space science missions (astronomy, planetary and solar heliospheric).  ...  Long Term Preservation Strategy  Consolidation of all ESA Space Science Archives at ESAC, with strong re-use across projects, ensuring easier and cheaper long term data preservation • Hardware infrastructure  ... 
doi:10.5281/zenodo.34493 fatcat:szihowwimraarpcibyxnfkydzy

At the Watershed: Preparing for Research Data Management and Stewardship at the University of Minnesota Libraries

Leslie M. Delserone
2008 Library Trends  
The recent activities of the Libraries, in support of and in conjunction with campus-wide efforts, illustrate a set of approaches that show the Libraries to be at the watershed, integrated into and contributing  ...  Like many research universities, the University of Minnesota (UMN), and its Libraries, attempts to understand the nature and intensity of data produced by its researchers, and address the management and  ...  in data archiving issues and resources for "big science," "small science" and social sciences/humanities research projects (EDSC Project List, unpublished working document).  ... 
doi:10.1353/lib.0.0032 fatcat:kizeqlsjtvgbjekwtafznx6eza

Task Force Open Science: Research Data Management at CESAER Universities

Angelina Kraft, Paula Martinez-Lavanchy
2020 Zenodo  
The presentation summarizes the main results of the CESAER white paper 'Advancing Research Data Management in universities of Science and Technology' - http://doi.org/10.5281/zenodo.3665372  ...  Presentation given by Angelina Kraft and Paula Martinez Lavanchy at the 'STM's FREE Multi-stakeholder webinar on Research Data' on the 19. May 2020.  ...  • Support services & Training Responses • 21 institutions participated • 13 countries represented • RDM policies in place in 66.7% of institutions and is work in progress for several • Significant  ... 
doi:10.5281/zenodo.3835503 fatcat:lq44fyqnmndg3eteel7ccdyoiq
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