1. Visit https://share-eric.eu/data/become-a-user

2. On the “Become a User” page complete the three steps to register as a SHARE USER and obtain access to the SHARE data.

• Step 1:  Read the SHARE Conditions of Use
• Step 2:  Download, fill out and sign the SHARE User Agreement
• Step 3: Submit completed and signed Statement(s) by email or mail to the SHARE Research Data Center 

3. Access approval will take about one week to obtain.

4. Upon access approval, you will receive an email with the following information:

• User login ID.
• Link to set up a password. This link will be valid for 72 hours.
  • Click on the link and create your password

5. Once you have created your password, you will be prompted to log in using the ID provided by SHARE and the password you just created.

6. You should see a screen like below upon successful login. Downloadable datasets are available in either Stata, SPSS, or R formats.

7. Future logins can be made at the following website: https://share-project.centerdata.nl/sharedatadissemination/users/login

8. Visit g2aging.org and register for access to the Gateway to Global Aging Data website.

9. Once logged in to the website, select “Harmonized Data” > "Get Data"

10. In the Life History table, click on "Harmonized SHARE Life History"

Download the Harmonized SHARE Life History Stata Creation Code and the Harmonized SHARE Life History Codebook at the link provided.

13. To run the Harmonized SHARE Life History Creation Code in Stata:

• From SHARE Research Data Center, download the 8.0.0 release Stata data for Waves 3 and 7. Download the All Waves Coverscreen Release 8.0.0 for Stata.
• Edit line 13 of the Stata Creation Code to list the folder location of the SHARE Coverscreen files. Edit lines 14-15 of the Stata Creation Code to list the folder location of the SHARE data for each wave. Edit line 16 to list the folder location where you would like to save the Harmonized SHARE Life History dataset. 

If you would prefer to work with the Harmonized SHARE Life History dataset in a statistical package other than Stata, you can convert the Harmonized SHARE Life History Stata dataset using a program such as Stat/Transfer. If you do not have access to Stat/Transfer, you may be able to read the .dta dataset into your stat package using an “import” or “get” function. When reading a .dta dataset into another package, it is best to first save the dataset in a Stata version 12 format using the command saveold.

*Please note that while these instructions provide a general overview of the process to access Harmonized SHARE Life History data via the Study Website, the exact steps and interface may vary slightly.