Journal Data: A New Platform for Data Research

Abstract

first_page settings Order Article Reprints Font Type: Arial Georgia Verdana Font Size: Aa Aa Aa Line Spacing:    Column Width:    Background: Open AccessEditorial Journal Data: A New Platform for Data Research by Jamal Jokar Arsanjani GIScience Research Group, Heidelberg University, Berlinerstrasse 48, D-69120, Heidelberg, Germany Data 2016, 1(1), 9-10; https://doi.org/10.3390/data1010009 Received: 27 August 2015 / Revised: 27 August 2015 / Accepted: 27 August 2015 / Published: 2 September 2015 Download Download PDF Download PDF with Cover Download XML Download Epub Versions Notes There is no doubt that data is of paramount importance to scientific progress. With the enormous development of science and technology, a huge amount of data fragments is produced every day. There are various techniques that make it no longer a technical problem to gather data in this era, but how can we identify what we want when facing such a great mass of data? How can data be re-used instead of covered in dust? How can we enhance the transparency of the processes applied to collect, treat and analyze data which will help to render scientific research results reproducible and thus more accountable? That is why we are here.Data is a brand new international journal for publishing scientific data in a reliable, citable, and accountable way. Data offers the opportunity to share valuable data and allow researchers capitalize on this knowledge for the further benefit of science. This approach gives yields confidence in using scientific data. It covers a wide range of disciplines in which scientific data is generated so that they are easily accessible for further explorations. The journal has highly accomplished international scientists from a variety of disciplines on the editorial board and a dedicated team of associate editors. It emphasizes clarity, honesty, quality and novelty and provides a rigorous peer-review process.The journal is published in two sections:Methods: this section publishes research articles, review papers and technical notes on methods for collecting, processing (treating), managing, storing and analyzing scientific and scholarly data.Data Sets: this section publishes descriptions of scientific and scholarly data sets (one data set per paper). The data set papers are published under a CC BY license, thus allowing the reuse of the data description in other research papers without copyright infringement.Our goal is to provide a unique, international, scientific forum for data scientists as well as for scientists working with data. We hope that this journal sparks your interests in the field of data research and inspires you to publish your data in Data. © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). Share and Cite MDPI and ACS Style Arsanjani, J.J. Journal Data: A New Platform for Data Research. Data 2016, 1, 9-10. https://doi.org/10.3390/data1010009 AMA Style Arsanjani JJ. Journal Data: A New Platform for Data Research. Data. 2016; 1(1):9-10. https://doi.org/10.3390/data1010009 Chicago/Turabian Style Arsanjani, Jamal Jokar. 2016. "Journal Data: A New Platform for Data Research" Data 1, no. 1: 9-10. https://doi.org/10.3390/data1010009 Find Other Styles Article Metrics No No Article Access Statistics For more information on the journal statistics, click here. Multiple requests from the same IP address are counted as one view.