1. Benefits of data access Public money Professional responsibility to share data Data access and scientific progress Fosters open scientific community and transparency in scientific inquiry Allows for verification, refutation and refinement of findings Promotes new research Use for evidence based policy making

2. Improves methods and measurements Encourages multiple perspectives Protects against faulty data Increases chances of future funding

3. Risks of data access Poor quality data Ownership, authorship – Fear that secondary analyst may publish before – Concern of loss of control over data Sponsor concerns Financial costs for data collection / access – Secondary researcher gains more, loses less Perceived risk to privacy / confidentiality – Breach of confidentiality – Statistical disclosure

4. Ethical use of data – Use for non-analytic, non-research purpose – Concern of integrity, competence of secondary analyst Lack of incentives for data sharing – Lack of disincentives for not sharing data

5. Developing a Prototype for Data Sharing Among Indepth-Network Member Sites – Building capacity in data management - Kanchanaburi (Thailand) - Wosera (Papua New Guinea) - Vadu (India) -International Institute of Information Technology (I2IT), India Indepth Network (SIDA SAREC small grants proposal on capacity building)

6. Stakeholders Vadu, India. Kanchanaburi, Thailand Wosera, Papua New Guinea I 2 IT Indepth - Network

7. Aims Strengthen data sharing mechanism within INDEPTH sites and their preparation for sharing with other partners To develop a prototype for data sharing amongst Indepth sites

8. Objectives Define minimal and optimal data sets that allow data sharing and data analysis amongst sites. Develop and standardized system of Unique data structure amongst Indepth sites to allow for data sharing and merging for cross site comparisons. Strengthen data collection systems suitable for data sharing and promote data sharing at Indepth sites safeguarding site and citizen interests.

9. Steps towards data access & data sharing Commitment to data sharing Minimum data sets – Technical issues – Technology related issues Minimum quality assurance checks Modality of data access Ensuring confidentiality, anonymity Legal, financial, ethical, scientific considerations

10. Technical Procedure Site Data manager sends data in format decided by all sites Each site have freedom to send data in any database manager which they are using for data management I 2 IT converts data into the Centralized Database in My-SQL as backend and PHP as front-end I 2 IT uploads converted data on its server and gives permission for accessing and using the data to each site as well as other users

11. Vadu MySQL & PHP Kanchanaburi SQL Server Wosera Fox-Pro &Visual Basic Minimum Dataset ETL Tool (Created by I 2 IT) (To convert data into MySQL & PHP) Central Database (Created and Managed by I 2 IT) MySQL & PHP Server Vadu Kanchanaburi Wosera upload data DOWNLOAD UPLOADUPLOAD Other Users ( With prior online Permission to view data) Data Sharing, Upload & Download

12. For Users other than member sites Other Users ( With prior online Permission to view data) VaduKanchanaburiWosera I2IT Create User Terms and Condition by sites for prior permission Request to I2IT by E-mail Request site by E-mail Approval by site for sharing data Permission by I2IT for data downloading

13. I 2 IT - tasks I 2 IT performs Extraction of the Data provided by the sites. Conversion of given fields into the fields as per the prototype. Uploading and Storage of the data into the website. Providing web accessing facility to the sites and others interested. Providing authorizations and implementing security constraints for data accessing through the web site.

14. ETL? ETL is Acronym for Extract, Transform and Load. ETL involves extracting the data from various data sources like Oracle, Visual FoxPro, Excel, SQL Server etc. Transformation involves converting the data from source structure to destination structure. This transformation is crucial for entire project

15. Example: Conversion of PID from 12 digit to 15 digit of vadu, India APTGNT0023004(12 digit) 106001068002304 (15 digit) ETL (SAS) I2IT team

16. Continue.. We have Extrated nearly 70,000 records from Vadu database and converted their 12 digit alphanumeric PID into 15 digit numeric format and stored into the centralized data base. Conversion of Paupa New Gunea and Kanchanaburi records is currently in progress All process of ETL is documented meticulously

17. Software & Hardware Requirements Operating System: Linux/Unix/Windows Data Base : My-SQL Front end : PHP/Java ETLTOOLS : BASE SAS 9.1.3 HARDWARE : PENTIUM DUAL PRO HARD DISK : 160 GB. RAM : 1 GB

18. Architecture vadu kanchanaburi wosera ETL Centralized database web End users

19. Website tour http://localhost/index.php

20. Thank You