23 (Research Data) Things: Glossary

Key Points

Thing 1: Ready Set Data	Research data is heterogeneous in form. Research data can be categorized into many types, such as observational, experimental, simulation, derived or compiled, and reference. Research data are often contextualized within communities. Technical data skills are increasingly needed to create, work with, understand and make sense of research data.
Thing 2: Issues in research data management	Research data is critical to solving the big questions of our time.
Thing 3: Data in the research lifecycle	Research data is critical to solving the big questions of our time.
Thing 4: Data discovery	First key point.
Thing 5: Data sharing	First key point.
Thing 6: Long-lived data: curation & preservation	First key point.
Thing 7: Data citation for access & attribution	First key point.
Thing 8 - Citation metrics for data	First key point.
Thing 9: Licensing data for reuse	First key point.
Thing 10: Sharing sensitive data	First key point.
Thing 11: What's my metadata schema?	First key point.
Thing 12: Vocabularies for data description	First key point.
Thing 13: Walk the crosswalk	First key point.
Thing 14: Identifiers and linked data	Identifiers are crucial to disambiguation of people, accurate attribution and impact metrics.
Thing 15: Data management plans	First key point.
Thing 16: What are publishers & funders saying about data?	First key point.
Thing 17: Data literacy & outreach	First key point.
Thing 18: Data interviews: talk the talk	First key point.
Thing 19: Exploring APIs and Apps	First key point.
Thing 20: Find it with data!	First key point.
Thing 21: Tools of the (dirty data) trade	First key point.
Thing 22: What's in a name?	First key point.
Thing 23: Making connections	First key point.

Glossary

Data literacy: Is the ability to read, create and communicate data as information and has been formally described in varying ways. Discussion of the skills inherent to data literacy and possible instructional methods have emerged as data collection becomes routinized and talk of data analysis and big data has become commonplace in the news, business, government and society in countries across the world. (Wikipedia)
Research data: Is defined as materials generated or collected during the course of conducting research. (National Endowment for the Humanities)