Data Science Canvas: Evaluation of a Tool to Manage Data Science Projects

نویسندگان

چکیده

Data emerged as a central success factor for companies to benefit from digitization. However, the skills in successfully creating value data – especially at management level are not always profound. To address this problem, several canvas models have already been designed. Canvas usually created write down an idea structured way promote transparency and traceability. some existing science mainly developers thus unsuitable decision-makers communication within interdisciplinary teams. Based on literature review, we identified influencing factors that essential of projects. With information gained, Science was developed expert workshop finally evaluated by practitioners find out whether such instrument could support data-driven creation.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Science Methodology for Cybersecurity Projects

Cybersecurity solutions are traditionally static and signature-based. The traditional solutions along with the use of analytic models, machine learning and big data could be improved by automatically trigger mitigation or provide relevant awareness to control or limit consequences of threats. This kind of intelligent solutions is covered in the context of Data Science for Cybersecurity. Data Sc...

متن کامل

Managing the Public to Manage Data: Citizen Science and Astronomy

Citizen Cyberscience Projects (CCPs) that recruit members of the public as volunteers to process and produce large datasets promise a great deal of benefits to scientists and science. However, if this promise is to be realised, and citizen science-produced datasets are to be widely used by scientists, it is essential that these datasets win the trust of the scientific community. This task of se...

متن کامل

revisit: a Workflow Tool for Data Science

In recent years there has been widespread concern in the scientific community over a reproducibility crisis. Among the major causes that have been identified is statistical: In many scientific research the statistical analysis (including data preparation) suffers from a lack of transparency and methodological problems, major obstructions to reproducibility. The revisit package aims toward remed...

متن کامل

The role of data science in encountering COVID-19 pandemic

The COVID-19 pandemic started in China and quickly spread throughout the world. This pandemic has affected the health of millions of people, the global economy and has challenged the majority of scientists and politicians to find effective medical treatments and intelligent policies to reduce the side effects of this pandemic as soon as possible. Technological advancements have enabled us to co...

متن کامل

A social science data-fusion tool and the Data Management through e-Social Science (DAMES) infrastructure.

The last two decades have seen substantially increased potential for quantitative social science research. This has been made possible by the significant expansion of publicly available social science datasets, the development of new analytical methodologies, such as microsimulation, and increases in computing power. These rich resources do, however, bring with them substantial challenges assoc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Proceedings of the ... Annual Hawaii International Conference on System Sciences

سال: 2021

ISSN: ['2572-6862', '1530-1605']

DOI: https://doi.org/10.24251/hicss.2021.657