A systematic and planned approach to the entire life cycle of scholarly data: from collection, creation, and/or observation to documentation, storage, and sharing.
Image credit: Ainsley Seago, doi:10.1371/journal.pbio.1001779.g001
Many federal and private funders require applicants to include a data management plan (DMP) in award proposals. Some scholarly publishers also require authors to make raw data available to all non-commercial users. There are numerous benefits to actively managing research data.
|Well-managed data can be shared because it is:||Researchers benefit from well-managed, open data because:|
|machine readable||findings may be validated through replication by other scholars|
|available in its entirety||existing work serves as a foundation for subsequent research, through alternative analysis or through mining of multiple data sets|
|inexpensive to obtain (or even free)||data sets are another means of promoting and disseminating scholarly work|
|organized in a readily interpretable manner||awareness of existing data helps scholars avoid unnecessary duplicate work|
|easily manipulated by popular software packages||little or no explanation is required when other researchers wish to obtain and/or use the data|
|preserved, ideally through multiple copies in multiple locations|
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