Conducting Secondary Data Analysis _ OSINT research

Conducting Secondary Data Analysis _ OSINT research

1. Conducting Secondary Data Analysis A Guide for Information Managers

2. What is secondary data Analysis? Secondary data analysis is the analysis of existing data to answer new research questions. It is a cost-effective way to gain insights without collecting primary data. Key steps include: Defining the research question Identifying relevant data sources Gathering necessary data and ensuring quality Analysing the data Interpreting findings and drawing conclusions 2

3. IDENTIFYING THE DATA Identify research question Identify the main concern of your analysis. Helps guide research and analysis. Helps identify relevant data sources. Identify data sources Locate relevant datasets and sources. When searching for data, prioritize credible organizations such as UN agencies. Carefully assess the data quality to ensure its accuracy, timeliness, and relevance to your needs. 3

4. Gathering the data 4 Evaluate data sources: Check for relevance, reliability, validity, timeliness, and accessibility. Data collection: Gather the necessary data and ensure quality. Data cleaning and preparation: Process data for analysis.

5. ANALYSING THE DATA Analyse the data Clean, standardise , and merge datasets as needed. Analyse the data using appropriate methods like statistical analysis or visualisation tools. Identify key trends and patterns and triangulate findings from multiple data sources for a more complete picture. Interpret results in light of the research question and data limitations. Identify key insights, trends, and implications for humanitarian relevance. Communicate findings clearly and concisely through visualisations , dashboards, reports, etc. Interpret the data 5

6. CONCLUSION 6 Useful tools: Overview of commonly used tools (e.g., SPSS, Tableau, Excel) Useful resources: UN OCHA: Provides access to humanitarian data sets, reports, and maps. https://cod.unocha.org/ World Bank Open Data: Offers a vast collection of development data. https://data.worldbank.org/ Central Emergency Response Fund (CERF): Provides data on funding and response efforts. https://cerf.data.unocha.org/ Humanitarian Data Exchange (HDX): Aggregates humanitarian data. https://data.humdata.org/

7. questions