Managing research data is essential for saving time and resources, preventing errors, and increasing the quality of analyses. Good data management also allows others to validate and replicate findings. It covers all aspects of managing, organizing, documenting, and improving research data. Data management is especially important for facilitating data exchange, ensuring long-term sustainability and accessibility of data, and allowing data to be reused for the science of the future.
Marjorie Etique was preparing a data management plan for her next research project but didn't know exactly what to do. Regardless of the size of the team, it is necessary to easily find information related to data about file location, naming conventions, standards, project description, project functions, backup regimes, version control, etc. Keeping track of data is important if other researchers can't reproduce the same results or if legal or ethical issues arise after an article is published. Funders may need a data management plan (sometimes called a Data Publication Plan (DPP)) to gain information about what data they intend to collect and if (and how) it will make that data accessible to others.
They should also explain any restrictions on the exchange and reuse of data, such as legal and confidentiality issues. Geneticists use special data repositories to archive huge amounts of DNA and genome sequencing data. If you think about several aspects of data management from the start, you can ensure that the material is well managed already during the data collection period. Librarians can perform a number of roles with a solid foundation in the principles of data management and the work done to bridge the gap between librarians and researchers.
Scientists who generate data must specify who will select the information once the research project is completed. Data management is an essential part of research that helps save time and resources in the long run. It helps prevent errors and increases the quality of analyses by allowing others to validate and replicate findings. Data management also facilitates data exchange, ensures long-term sustainability and accessibility of data, and allows data to be reused for future science projects.
Funders may require a Data Publication Plan (DPP) to gain information about what data they intend to collect and if (and how) it will make that data accessible to others. Geneticists use special repositories to archive huge amounts of DNA and genome sequencing data while librarians can help bridge the gap between librarians and researchers.