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Enhancing Data Integration, Interoperability, and Reuse to Address Complex and Emerging Environmental Health Problems

Michelle L. Heacock, Adeline R. Lopez, Sara M. Amolegbe, Danielle J. Carlin, Heather F. Henry, Brittany A. Trottier, Maria L. Velasco, William A. Suk
2022 Environmental Science and Technology  
While disentangling the interrelationships that contribute to environmental exposures and their effects on human health over the course of life remains difficult, advances in data science and data sharing  ...  As such, SRP supported collaborative research projects designed to foster and enhance the interoperability and reuse of diverse and complex data streams.  ...  She also is the lead for SRP's data science and sharing initiatives, where she helps to foster activities that focus on increasing the findability, accessibility, interoperability, and reusability (FAIR  ... 
doi:10.1021/acs.est.1c08383 pmid:35549252 pmcid:PMC9227711 fatcat:4ympcebiqnfp5dlkdzgdz7x3ci

How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study [article]

David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael Muller, Felix Portnoy
2021 arXiv   pre-print
In this paper, we report on a study including analyses of both interviews with AI developers and artifacts they produced for communication.  ...  The development of AI applications is a multidisciplinary effort, involving multiple roles collaborating with the AI developers, an umbrella term we use to include data scientists and other AI-adjacent  ...  Studies have investigated collaboration models among different team settings, such as professional data scientists [56, 57] , civic data scientists [18] , domain experts [31] , and software-oriented  ... 
arXiv:2101.06098v1 fatcat:ezvgtc6zrja2pco4ymeqrwjp3a

The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water [article]

Paulo Alencar, Donald Cowan, Doug Mulholland
2018 arXiv   pre-print
In this era of big data, iEnvironment facilitates access to open data resources and research collaboration among science and research disciplines supported by computer scientists and software developers  ...  The platform supports science and engineering research, especially in the context of the creation, sharing, analysis and maintenance of big and open data.  ...  software for applications in areas involving open and big data, which can provide job opportunities that are in high demand; (v) provide worldclass training opportunities for students and faculty; and  ... 
arXiv:1812.10175v1 fatcat:cctngxsbjfbrvb2itfmh5az74q

A funder's approach to more open data and better data management

Belmont Forum e-Infrastructures & Data Management Project
2018 Past Global Change Magazine  
inception of a project in order to plan and budget appropriately for data curation, management and sharing.  ...  research, with the ultimate result of improved sharing and data reuse.  ... 
doi:10.22498/pages.26.2.56 fatcat:qfqm2v2bunaipizahzdh6fhnlq

If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology

Jillian C. Wallis, Elizabeth Rolando, Christine L. Borgman, Luís A. Nunes Amaral
2013 PLoS ONE  
Research on practices to share and reuse data will inform the design of infrastructure to support data collection, management, and discovery in the long tail of science and technology.  ...  Practices of releasing, sharing, and reusing of data in CENS reaffirm the gift culture of scholarship, in which goods are bartered between trusted colleagues rather than treated as commodities.  ...  for Astrophysics) for assistance with the sampling plan, and to other members of the UCLA Data Practices Research Team for comments on earlier drafts (Rebekah Cummings, Rachel Mandell, Ashley Sands, Sharon  ... 
doi:10.1371/journal.pone.0067332 pmid:23935830 pmcid:PMC3720779 fatcat:kkh4eaouqnfz7bmb2i32uockei

Reproducibility: A Researcher-Centered Definition

Sebastian Stefan Feger, Paweł W. Woźniak
2022 Multimodal Technologies and Interaction  
We hope that this characterization helps to create a mutual understanding across science stakeholders, in turn paving the way for suitable and stimulating environments, fit to address the challenges of  ...  Recent years have introduced major shifts in scientific reporting and publishing.  ...  The faculty members indicated that sharing by email and through popular cloud storage services were among the most common sharing strategies.  ... 
doi:10.3390/mti6020017 doaj:2e368cfecd2c4487bbb01fe6c4c1ccc6 fatcat:3nhq4niidrfjtdobmt2zbj3f4m

The emerging role of data scientists on software development teams

Miryung Kim, Thomas Zimmermann, Robert DeLine, Andrew Begel
2016 Proceedings of the 38th International Conference on Software Engineering - ICSE '16  
science activities themselves; and (5) Team Leaders, who run teams of data scientists and spread best practices.  ...  in software-oriented data analytics.  ...  Data scientists who are hired into software development teams can also learn how to improve the impact and actionability of data science work from the strategies shared by other data scientists.  ... 
doi:10.1145/2884781.2884783 dblp:conf/icse/Kim0DB16 fatcat:o256h4jdr5dkdkvtg6phhvrz2i

Ten simple rules to power drug discovery with data science

Enrico Ferrero, Sophie Brachat, Jeremy L. Jenkins, Philippe Marc, Peter Skewes-Cox, Robert C. Altshuler, Caroline Gubser Keller, Audrey Kauffmann, Erik K. Sassaman, Jason M. Laramie, Birgit Schoeberl, Mark L. Borowsky (+2 others)
2020 PLoS Computational Biology  
Acknowledgments We would like to thank all members of the Computational Sciences Council at the Novartis Institutes for BioMedical Research for helpful input and feedback on the manuscript.  ...  Data science teams should come together as part of a strong data science community with shared goals and accountability.  ...  The risk of such a model is that these embedded data science teams can operate in silos, thus limiting crossfertilization of ideas and knowledge sharing.  ... 
doi:10.1371/journal.pcbi.1008126 pmid:32853229 fatcat:k633mqpjlfdrzdzal5vbw662ce

Data, data use, and scientific inquiry

Laura A. Wynholds, Jillian C. Wallis, Christine L. Borgman, Ashley Sands, Sharon Traweek
2012 Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries - JCDL '12  
A C K N O W L E D G E M E N TS Research reported here is supported in part by grants from the National Science Foundation (NSF) and the Alfred P. Sloan R E F E R E N C ES  ...  They may never be available for capture in digital libraries, much less for sharing and reuse.  ...  search for new kinds of questions, methods, equipment, data, and analytic strategies in each field [9, 11] .  ... 
doi:10.1145/2232817.2232822 dblp:conf/jcdl/WynholdsWBST12 fatcat:lk2dylld6jhllpy2dc4ezyc5l4

Developing a holistic research data management strategy for a university - Making preservation planning and long term access first grade citizens in RDM

Dirk von Suchodoletz, Jan Leendertse, Klaus Rechert, Rafael Gieschke, Saher Semaan, Björn Goldammer, Dimitri Tolkatsch
2021 International Conference on Digital Preservation  
For scientists, a proper data management is a crucial element to prove their findings and make them reproducible.  ...  An increasing adoption of FAIR principles and requirements by funding agencies on open data has significantly benefited overall quality, reuse, and sharing of research results.  ...  Acknowledgements Part of the activities and insights presented in this paper were made possible through the collaboration in the Science Data Center BioDaten and the NFDI consortium DataPLANT.  ... 
dblp:conf/ipres/SuchodoletzLRGS21 fatcat:zhqzpwwwjzajpnhdhrnydjfxam

eScience development and experiences in The Netherlands

Wilco Hazeleger, Tom Bakker, Rob van Nieuwpoort
2018 Informatik-Spektrum  
computer and data scientists.  ...  Reusing software, workflows, and data is at the heart of the center. The tools and applications developed are generalized and made available for reuse.  ... 
doi:10.1007/s00287-018-01132-3 fatcat:dgdzba7cjbe63hbdqxjdrhf5ou

Actualizing affordances - Story of Indian Information Technology (IT) Industry delivering Artificial Intelligence based solutions

Vinay Reddy Venumuddala, Rajalaxmi Kamath
2020 International Conference on Information Systems  
Applying Volkoff and Strong's critical realist framework to the nature of affordances that are being actualized, we compare work practices and processes in this AI project with traditional software development  ...  We base our findings on a four-month ethnography, where one of us worked as a part of a team providing AI solutions in an IT organization situated in Bengaluru, India.  ...  Even if it resumes, data scientists largely play an advisory role in terms of suggesting different feature engineering and model experimentation strategies which the data engineers could reuse from previous  ... 
dblp:conf/icis/VenumuddalaK20 fatcat:brfbhz46rnabphz2rzichtrff4

Code sharing and collaboration: experiences from the Scientist's Expert Assistant project and their relevance to the virtual observatory

Anuradha Koratkar, Sandy Grosvenor, Jeremy E. Jones, Connie Li, Jennifer Mackey, Ken Neher, Karl R. Wolf, Jean-Luc Starck, Fionn D. Murtagh
2001 Astronomical Data Analysis  
sharing among groups During the past three years, the SEA project has been developing prototypes for new observation planning software tools and strategies Initially funded by the Next Generation Space  ...  must improve software collaboration and code sharing between projects and groups A significant goal of the Scientist's Expert Assistant (SEA) project has been promoting effective collaboration and code  ...  ACKNOWLEDGEMENTS This work was initially supported by the Next Generation Space Telescope and is now funded by the Applied Information Systems Research grant NAG-9512 and SOMO Technology Development Program  ... 
doi:10.1117/12.447175 fatcat:67xohbsrjbh3jpgcboitwbp7zq

Reuse and Recycle: The Development of Adaptive Expertise, Routine Expertise, and Novelty in a Large Research Team

Susannah B. F. Paletz, Kevin H. Kim, Christian D. Schunn, Irene Tollinger, Alonso Vera
2013 Applied Cognitive Psychology  
In 2004, scientists led twin rovers on Mars in the search for historical water.  ...  After discussing the conceptual differences between adaptive expertise and related team learning and innovation concepts, we examine longitudinal behavioral data on novelty, routine and adaptive expertise  ...  We are grateful to Carmela Rizzo for data and research assistant coordination, Preston Tollinger, Mike McCurdy, and Tyler Klein, for help with data collection, and Bob Kanefsky for help with data processing  ... 
doi:10.1002/acp.2928 fatcat:xternz37b5ckbhq3z6btbdpsoa

Institutional and Individual Influences on Scientists' Data Sharing Practices

Youngseek Kim, Jeffrey Stanton
2012 The Journal of Computational Science Education  
Results showed support for an institutional perspective on data sharing as well as a need for better understanding of scientists' altruistic motives for participating in data sharing and reuse.  ...  As a result of this increase in the scale of scientific collaboration, sharing and reuse of data using private and public repositories has increased.  ...  ACKNOWLEDGMENTS This research was supported in part by an award from the National Science Foundation (OCI-0753372).  ... 
doi:10.22369/issn.2153-4136/3/1/6 fatcat:3jfclomgpneunbwqodsuypocdi
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