Big Opportunities in Access to "Small Science" Data
نویسندگان
چکیده
Introduction Data is the lifeblood of science. Researchers, government institutions, non-profit organizations, schools, commercial organizations, and individual citizens all need the widest possible access to data from all sources to explore, experiment, test, create new knowledge and new products, and, ultimately, to increase understanding of our world. Access to data, put simply, is crucial to the future development of science and society. There are a number of initiatives underway to make scientific data accessible to other scientists and, in some cases, to the public, without the user needing to obtain prior permission from the data owner/provider. To date, these initiatives generally have been discipline specific, and have in many cases developed their own tools for storing, searching, and accessing data relevant to the discipline. They have also generally been focused on what Paul F. Uhlir and Peter Schröder have referred to as “big science” rather than “‘small science’ research endeavors, performed by a single investigator or small group.” (Uhlir and Schröder) To scientific data generated by these “small science” researchers, we would add data generated for purposes “besides science” that would be of value to scientists if available to them. “Besides science” data refers to data collected by those who are not usually seen as professional academic or institutional scientific researchers but who generate technical or observational data of scientific value.
منابع مشابه
Economic Opportunity Survey of Small Dairy Farms in the Southwest Part of Iran
In this study 495 smallholder dairy farms in 52 villages of different township in southwestern province of Iran (Chaharmohal and Bakhtiari province) included 1321 lactating cows and 2811 total mature cows (lactating and dry) during winter 2009 to summer 2010 were used to estimate economic opportunities insmallholder dairy farms. Questionnaire survey was used to collect data from last year infor...
متن کاملMachine Learning and Citizen Science: Opportunities and Challenges of Human-Computer Interaction
Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to...
متن کاملAn Architecture for Security and Protection of Big Data
The issue of online privacy and security is a challenging subject, as it concerns the privacy of data that are increasingly more accessible via the internet. In other words, people who intend to access the private information of other users can do so more efficiently over the internet. This study is an attempt to address the privacy issue of distributed big data in the context of cloud computin...
متن کاملThe Investigation and Analysis of the Strengths, Weaknesses, Opportunities, and Threats of Wearable Electronic Technologies: A Systematic Review
Introduction: Wearable electronic devices, which are based on Internet of Things (IoT) and big data computing, are able to continuously collect and process the physiological and environmental data and exchange them with other tools, users, and internet networks. Therefore, despite their potential benefits in health monitoring, they can pose serious risks, especially in breach of privacy. Hence...
متن کاملBig Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.
OBJECTIVES As technology continues to evolve and rise in various industries, such as healthcare, science, education, and gaming, a sophisticated concept known as Big Data is surfacing. The concept of analytics aims to understand data. We set out to portray and discuss perspectives of the evolving use of Big Data in science and healthcare and, to examine some of the opportunities and challenges....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Data Science Journal
دوره 6 شماره
صفحات -
تاریخ انتشار 2007