DKU Only E-Resources

Duke Kunshan University Library subscribes to multiple academic databases and e-journals to support faculty’s and students’ research and learning. The databases and e-journals listed below, unless otherwise specified, are accessible to DKU users only.

ScienceDirect for DKU

ScienceDirect is Elsevier’s platform for peer-reviewed journals in the areas of physical sciences and engineering, life sciences, health sciences, and social sciences and humanities. It contains indexing, abstracts, and tables of contents for over 2,500 journals.

Access Instructions:

Wind Financial Terminal

Wind Financial Terminal is a one-stop platform for Chinese financial data and information. The terminal integrates the most comprehensive and accurate market data, fundamental data, research, news, and analytics tools across all asset classes in China.

Access Instructions:

  • DKU Library has a total of 27 Wind Financial Terminals (WFT) as a philanthropic gift, with 25 iMacs in the Wind Finance Lab (LIB 2125), and 2 Dell PCs in the 4th Floor Digital Hub.
  • Users must log in to the iMacs/PCs via a public account. The account credentials are pasted inside the Lab or on the PC.
  • Licensed Wind accounts are already logged in on the computers. Do not log out or replace the Wind accounts. Do not update the apps on your own.
  • Please strictly follow the DKU Wind Finance Lab (LIB 2125) Usage Guidelines and Wind Financial Terminals User Manual.
  • Licensed modules are as below:

 

No. of Computer

Wind Financial Terminal/金融终端

Economic Database/经济数据库

Wind ESG Rating/Wind ESG评级

Company/全球企业库

Data Limit/数据量限制

iMac #001-#021, #025

√

√

  

Limited

iMac #022, #023

√

√

√

√ (VIP)

Regular

iMac #024

√

√

√

√ (SVIP)

Regular

PC #033

√

√

  

Limited

PC #034

√

√

√

√ (SVIP)

Regular

If you have special requests, please send an email to dkulibrary@dukekunshan.edu.cn

Help and Support:

  • DKU Library can collaborate with Wind Information to provide training for WFT on request.

China Academic Digital Associative Library 

The China Academic Digital Associative Library (CADAL) is invested and constructed by the state as a key project of the Ministry of Education’s “211” project which is jointly built and shared by Zhejiang University, universities and research institutions at home and abroad.

CADAL has over 2.6 million online resources including ancient books, books during the Republic of China, modern books, foreign books, Manchuria railway profiles,  local chronicles, and oversea remittance, covering science, engineering, agriculture, medicine, humanities, and social sciences.

Access Instructions:

  • You may refer to detailed instructions in Chinese in this article. Please follow all the steps carefully in order to create the correct type of account.
  • DKU users can register to use CADAL resources by clicking login/register on the upper right corner of the home page: http://cadal.edu.cn.
  • Use cn email to register, then you can access CADAL resources either on or off campus.
  • As CADAL is a Chinese resource, you may need to understand Chinese to utilize the resource.
 

The China Academic Digital Associative Library (CADAL) is invested and constructed by the state as a key project of the Ministry of Education’s “211” project which is jointly built and shared by Zhejiang University, universities and research institutions at home and abroad.

Linguistic Data Consortium (LDC) Corpora

Linguistic Data Consortium (LDC) is an open consortium that supports language-related teaching and research through the creation and provision of data linguistic resources, such as data collections, corpora, software, research papers and specifications. LDC is hosted by the University of Pennsylvania and is a center within the University’s School of Arts and Sciences.

Please note: all DKU-licensed corpora downloads will first be approved by the DKU LDC administrator. You must email dkulibrary@dukekunshan.edu.cn in advance when you download any of the licensed data.

Access Instructions:

  1. Go to the LDC sign-up page to create your account. You will need to accept the LDC Online User Agreement before you proceed.
  2. Enter all the requested details on the sign-up form. Please note:
    • You must use your DKU email address to register.
    • You must enter Duke Kunshan University in the organization field.
  3. After you submit your details, please complete this Qualtrics survey for the DKU LDC administrator to verify your registration. You will be notified by email once the verification is complete.
  4. Once the verification is complete, you can login to access LDC.

If you have any questions about registering for or using LDC, please send an email to dkulibrary@dukekunshan.edu.cn

CnOpenData

CnOpenData is an open source repository featuring China-centric datasets across a wide variety of topics such as economics, law, transportation, healthcare, and humanities. Currently, DKU students, faculty, and staff have access to 74 datasets, including 52 trial datasets and open datasets.

Check out the translated index for the 52 trial datasets and the open datasets.

Please note: When accessing CnOpenData, please make sure you are on the DKU campus network, as a DKU campus IP address is required to sign in. If you are not physically on DKU campus, please make sure your device is connected to DKU VPN before accessing. 

Instructions with screenshots and translations are available here.

Access Instructions:

  1. Connect to the DKU campus network and make sure your Duke VPN is off.
  2. Go to the CnOpenData sign-in page and toggle the window to “注册 (Sign up)” to create your account. A DKU email address is not required to register.
    • A DKU email address is not required to register.
  3. Enter all the requested details on the sign-up form.
  4. After verifying your registration, login via CnOpenData sign-in page.
  5. Go to “Individual Center” and click “去认证 (Proceed to verification)”.
  6. Complete the form and click “提交 (Submit)”.
    • A screenshot or photo of your DKU ID card is required to complete the form.
  7. It may take up to 24 hours to verify your submission. Once your verification is approved, you will receive a confirmation email, and you can then start accessing CnOpenData.

If you have any questions about registering for or using CnOpenData, please email siti.lei@dukekunshan.edu.cn.

Most Used Duke University Libraries Databases