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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.
- Guideless on Data Management
EC. Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020
EC. Guidelines on FAIR Data Management in Horizon 2020
Guidelines on How to Deposit Data with ICPSR
ICPSR. Guidelines for OSTP Data Access Plan
- Data Management Planning
CSUC. Research Data Management Plan
OpenAIRE. How to Create a DMP Plan
- Data Management Plan Tools
CSUC. Research Data Management Plan Tool
- Open Data Repositories
Data Archiving and Networking Services (DANS)
re3data.org. Registry of Research Data Repositories
UAB. Multidisciplinary Repositories for Open Access Data
- Free Data Sets
Human Development Report by United Nations
Inter-university Consortium for Political and Social Research