Data Always Getting Bigger—A Scalable DOI Architecture for Big and Expanding Scientific Data

نویسندگان

  • Giri Prakash
  • Biva Shrestha
  • Katarina Younkin
  • Rolanda Jundt
  • Mark Martin
  • Jannean Elliott
  • Jamal Jokar Arsanjani
چکیده

The Atmospheric Radiation Measurement (ARM) Data Archive established a data citation strategy based on Digital Object Identifiers (DOIs) for the ARM datasets in order to facilitate citing continuous and diverse ARM datasets in articles and other papers. This strategy eases the tracking of data provided as supplements to articles and papers. Additionally, it allows future data users and the ARM Climate Research Facility to easily locate the exact data used in various articles. Traditionally, DOIs are assigned to individual digital objects (a report or a data table), but for ARM datasets, these DOIs are assigned to an ARM data product. This eliminates the need for creating DOIs for numerous components of the ARM data product, in turn making it easier for users to manage and cite the ARM data with fewer DOIs. In addition, the ARM data infrastructure team, with input from scientific users, developed a citation format and an online data citation generation tool for continuous data streams. This citation format includes DOIs along with additional details such as spatial and temporal information.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Big Data Privacy Challenges and Techniques

Big Data deals with a diverse and vary large set of data that includes images, video, audio, structured, unstructured as well as semistructured data. Big Data is getting bigger day by day because of voluminous amount of data that is being collected, processed and stored. It has created new challenges to preserve privacy and hence we have many privacy challenges and privacy techniques to deal wi...

متن کامل

An 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 کامل

A Framework for Big Data Analytics as a Scalable Systems

-------------------------------------------------------------------ABSTRACT------------------------------------------------------------Rapid technological advancements in recent technologies have led to inundation of data from diverse domains like scientific generated data, web, business intelligence and medical science over the past few years. The concept of big data was put to capture the mea...

متن کامل

Privacy and Security of Big Data in THE Cloud

Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

متن کامل

Privacy and Security of Big Data in THE Cloud

Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016