{"id":133,"date":"2017-05-10T11:53:23","date_gmt":"2017-05-10T10:53:23","guid":{"rendered":"https:\/\/blog.iese.edu\/newsletter-library\/?p=133"},"modified":"2017-05-10T12:11:29","modified_gmt":"2017-05-10T11:11:29","slug":"70-research-guide","status":"publish","type":"post","link":"https:\/\/blog.iese.edu\/newsletter-library\/70-research-guide\/","title":{"rendered":"Datasets Basics"},"content":{"rendered":"

>\u00a0Return to the\u00a0#70 Newsletter<\/a><\/em><\/strong><\/span><\/p>\n

\n

In-depth analysis usually requires datasets. Datasets are defined as the factual records used as primary sources for research, and they are widely viewed in the research community as necessary to validate research findings. Researchers are increasingly expected to ensure that the data they use to probe their hypotheses are at once findable, accessible, interoperable and reusable. A critical aspect of scholarly research is providing clear documentation for your data and data management practices. This is important not only for the reproducibility of results and data integrity, but is often required by publishers and funding sources. In the following list of sources we hope to shed a little more light on the complex task of managing research data.<\/p>\n