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Knowledge Scientists: Unlocking the data-driven organization [article]

George Fletcher, Paul Groth, Juan Sequeda
2020 arXiv   pre-print
We argue that the technologies for reliable data are driven by distinct concerns and expertise which complement those of the data scientist and the data engineer.  ...  We call the new role which must be developed to fill this critical need the Knowledge Scientist.  ...  Unlocking the data-driven organization We have argued that there is a fundamental role -the knowledge scientist -that has been overlooked in data driven organizations.  ... 
arXiv:2004.07917v1 fatcat:vc2evfqg3rhbnei76zsw3nb2di

Open Scientist Handbook

Bruce R. Caron
2020 Open Scientist Handbook  
A sharable version of the Bibliography is on the web HERE License: Creative Commons Attribution 4.0 International License (CC-BY 4.0) All photographs, unless credited with their own license, are the author's  ...  You and your colleagues are on a new learning curve toward a workplace where the only fear you Nind is the joyful thrill of playing with nature and data to unlock new insights.  ...  This is why you are driven to be a scientist; "As we have seen, many of the most active participants in these creation spaces are driven by intrinsic motivations-the passion they have for the domain, the  ... 
doi:10.21428/8bbb7f85.35a0e14b fatcat:caubtc5qnzbvrdiogr5lc4xgle

How do data scientists and managers influence machine learning value creation?

Humberto Ferreira, Pedro Ruivo, Carolina Reis
2021 Procedia Computer Science  
So, it becomes relevant to not only ponder the antecedents that influence the ML BV process but also, the main actors that influence the creation of such value within organizations: data scientists and  ...  So, it becomes relevant to not only ponder the antecedents that influence the ML BV process but also, the main actors that influence the creation of such value within organizations: data scientists and  ...  A common understanding is that organizations must run an operation that involves simultaneously data scientists and managers in the deployment and exploitation of a value-driven technological implementation  ... 
doi:10.1016/j.procs.2021.01.228 fatcat:ung2ytwdovadzld6bo7xuc4eta

Future of Enterprise Data Management: Data products powered by Knowledge Graphs

Mohammed Aaser
2021 Zenodo  
McKinsey's sixth Global Data Survey, in the field from February to September 2019. >70 responses.What are the key unlocks of this next wave However, organizations still face challenges in scaling  ...  -Longer term revenue model  Product manager to build business case and generate demand for dataKnowledge scientist to build context-aware data model  Data engineers integrate and link data to this  ... 
doi:10.5281/zenodo.4903240 fatcat:56uk5lwu2va7vjhdtmlnw5reni

Entrepreneurship and Knowledge Management: Knowledge Requirements, Utility, Creation, and Competency

Denzil Pillay, Brian Barnard
2019 Social Science Research Network  
The study elaborates on the relationship between knowledge and innovation, as well as the relationship between knowledge, creativity, and innovation.  ...  The study examines knowledge management in the context of entrepreneurship: in particular, how entrepreneurs utilize and create knowledge, and build on knowledge as a core competency.  ...  Parts of academic research and papersthe findings for instancecan be made freely available to the public. Pillay, D. and Barnard, B., 2019.  ... 
doi:10.2139/ssrn.3308884 fatcat:rhqfukv3r5gkzk53xr3y7lidsy

Open Access and the Progress of Science

Alma Swan
2007 American Scientist  
An early example of this sort of knowledge creation is the Neurocommons, a project of the ScienceCommons organization.  ...  knowledge that we have today?  ... 
doi:10.1511/2007.65.373 fatcat:b5bxnykdyvdg7eqyorwl4yqhta

Knowledge Grid: An Intelligent System for Collaboration and Knowledge Management in Nigerian Universities

Boluwaji A. Akinnuwesi, Adedoyin Odumabo, Benjamin S. Aribisala
2020 Data Science Journal  
The universities are located in different geographical areas and collaboration among these universities is difficult and this makes accessibility to data and information resource of the universities a  ...  We focused on identifying the strengths and challenges of knowledge grid development and implementation vis-à-vis the technological, economic and social implications involved in the process.  ...  Knowledge grid allows the alliance of scientists, organizations and enterprises to mine data stored in diverse data warehouses located in different company or establishments (Cannataro & Talia, 2003;  ... 
doi:10.5334/dsj-2020-002 fatcat:ifjrz4oypvfs5ns3adtlk65tsi

Data Sustainability and Reuse Pathways of Natural Resources and Environmental Scientists

Yi Shen
2018 New Review of Academic Librarianship  
The results reveal the scientists' struggles, concerns, and barriers encountered, as well as their shared values, beliefs, passions, and aspirations when working with data.  ...  Based on these findings, this study provides suggestions on data modeling and knowledge representation strategies to support the long-term viability, stewardship, accessibility, and sustainability of scientific  ...  Ethics and Consent All appropriate human subjects procedures were approved by the Virginia Tech Institution Review Board (IRB) and followed under VT IRB-15-968.  ... 
doi:10.1080/13614533.2018.1424642 fatcat:d2xtuottwrbofoiqompkd47vta

Who instigates university–industry collaborations? University scientists versus firm employees

Rajeev K. Goel, Devrim Göktepe-Hultén, Christoph Grimpe
2016 Small Business Economics  
Using a sample of 833 German manufacturing firms, our results indicate that university scientists typically start collaborations with industry, while firm employees would take over the management of projects  ...  Using a sample of 833 German manufacturing firms, our results indicate that university scientists typically start collaborations with industry, while firm employees would take over the management of projects  ...  Individual scientists may play an important role in establishing an entrepreneurial culture at universities and public research organizations and adding formal institutions and organizations may enable  ... 
doi:10.1007/s11187-016-9795-9 fatcat:tx3wxmonp5gfjbemr4bmxyl4ny

On the economics of knowledge creation and sharing [article]

Omar Metwally
2017 arXiv   pre-print
In all three scenarios, data moves under the traditional paradigm of centralization, in which data is hosted and curated by individuals and organizations and of benefit to only a small subset of people  ...  In the case of the U.S. healthcare system, hospitals generate massive amounts of data, only a small minority of which is utilized to inform current and future medical practice.  ...  Organizations, including corporations, government, and academia, have few incentives to share data outside the context of selling it.  ... 
arXiv:1709.07390v1 fatcat:b4mzdob74nap5lajzb3axy4njq

Scientists as Midwives to Cluster Emergence: An Institutional Work Framework

Tiina Ritvala, Birgit Kleymann
2012 Industry and Innovation  
The results of the study highlight the opportunities that scientists have to act as midwives to cluster formation, but they also show that well-functioning clusters need a broader support base.  ...  The present paper extends the recent literature on institutional entrepreneurship and institutional work to solve this paradox of embedded agency in the context of science-based clusters.  ...  (SITRA) and the Finnish Export Organization Finpro.  ... 
doi:10.1080/13662716.2012.718875 fatcat:vyzlqsn75bd2baa56wjfbw6cpy

Aotearoa New Zealand: Participatory science and bicultural knowledge communication [chapter]

Jean S. Fleming, Nancy Longnecker, Rhian A. Salmon, Daniel C. H. Hikuroa
2020 Communicating Science: A Global Perspective  
Acknowledgement The authors gratefully acknowledge and thank Associate Professor Rebecca Priestley (Victoria University of New Zealand) for her advice on this chapter.  ...  data gathering, as scientists' trust of data gathered by community participants increases and the pool of funding expands (Peters, Eames and Hamilton, 2015; Peters et al., 2016) .  ...  The Ministry of Business, Innovation and Employment holds that Vision Mātauranga 'unlocks the science and innovation potential of Māori knowledge, resources and people' (MBIE, 2018) .  ... 
doi:10.22459/cs.2020.04 fatcat:vs77odceffeyzh4cfhc5btt5li

Interweaving Knowledge Resources to Address Complex Environmental Health Challenges

Beth Ellen Anderson, Marisa F. Naujokas, William A. Suk
2015 Environmental Health Perspectives  
Here we illustrate how the SRP is a functioning model that encourages researchers to consider reaching beyond conventional knowledge resources to engage with diverse partners and unlock the potential of  ...  wide range of knowledge resources in both formal and informal multi directional partner ships toward research-driven, solutionoriented activities.  ... 
doi:10.1289/ehp.1409525 pmid:25910282 pmcid:PMC4629749 fatcat:fi56c4v43zd4vhyagu6cfbrzzy

Visual Analytics for Multimodal Social Network Analysis: A Design Study with Social Scientists

Sohaib Ghani, Bum Chul Kwon, Seungyoon Lee, Ji Soo Yi, Niklas Elmqvist
2013 IEEE Transactions on Visualization and Computer Graphics  
Finally, we conducted a second qualitative evaluation with our social scientist collaborators that provided further insights on the utility of the PNLBs representation and the potential of visual analytics  ...  For example, social scientists may want to investigate asymmetric relations in organizations with strict chains of command, or incorporate non-actors such as conferences and projects when analyzing coauthorship  ...  ACKNOWLEDGMENTS We thank our social scientist colleagues who participated in the study as well as Sukwon Lee, Sung-Hee Kim, and Aditya Srinath who provided constructive feedback on this study.  ... 
doi:10.1109/tvcg.2013.223 pmid:24051769 fatcat:nc2nnwf6uzar7av63u4us52uq4

Weaving a Knowledge Network for Deep Carbon Science

Xiaogang Ma, Patrick West, Stephan Zednik, John Erickson, Ahmed Eleish, Yu Chen, Han Wang, Hao Zhong, Peter Fox
2017 Frontiers in Earth Science  
Annotation and linking are the key characteristics of the knowledge network.  ...  Not only are key assets, including DCO data and methods, published in an open and inter-linked fashion, but the people, organizations, groups, grants, projects, samples, field sites, instruments, software  ...  Such capability will unlock individual records that can become part of many knowledge networks.  ... 
doi:10.3389/feart.2017.00036 fatcat:flrpwxzic5fydjjn6ctlmtbj2m
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