A reference guide with information and resources to help you manage your research data
Data Lifecycle
Planning Data Management
How can I best manage my data throughout the lifecycle of my research to save time and money in the future?
Data Acquisition and Collection
How can I acquire data in an efficient and ethical way, and how can I ensure that my data is used appropriately?
Storage, Security, and Analysis
What are my options for effectively organizing, storing, securing, computing, and analyzing my research data?
Dissemination and Preservation
Why is it worthwhile to share my data? What do funders and journals require? Can I get help with data curation?
Tweets from Harvard Library @hlrdmp
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If you are interested in data and code sharing, open science & research data management, you'll enjoy participating in this year's @dataverseorg Community Meeting: t.co/1rHw9RcqDb You can now register here: t.co/AfonNKVuv2 #dataverse2020
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Have you ever asked yourself: "Why do you want a dataset identifier?🤔t.co/itQKtGUJq5 If so, the following guide may give you some answers. Still have questions? Please provide feedback: t.co/9uhBAfvJfr @openscience #ResearchData #PID t.co/n0D28RvgCt
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To keep up with the latest #COVID19 data and computational resources, we’ve compiled an aggregated list to help you stay current. #NIHdata t.co/nmEUMxiCz4
