Chosen Personas:

ECS: Finding the appropriate discovery system for their data.

ECS: Developing an understanding of the system behind searching for your data and my role in it (as an ECS)

ECS: How is data organized in most data repositories?

ECS: Where does the information come from that I see in search results?

ECS: How do I know that the data I want to retrieve are good quality data?

ECS: What should I think about when downloading the data I find? Are there formats that would be better than others and why?

CE: How can you get some help for your students who don't quite know which data repositories to look for data in?

CE: What are the differences between different data repositories so that I can direct my students to the best ones for the domain of the class

CE: What are some of the key features that my student should be aware of when working with repositories/data

CE: What are some of the key policies that my students should understand when working with repositories/data

SDL: Understanding the types of information to ask in order to appraise and select datasets for ingest

SDL: Understanding the different types of repositories (e.g. domain, institutional, open, with fee, etc).

SDL: Determining which repository the data should be submitted to.

SDL: How to assess the quality of the repository in order to provide recommendations/guidance to the reseach community/faculty.

SDL: For different subject domains, what are the best data repositories to recommend to my patrons and why?

SDL: For the best repositories, are there special tips or tricks for finding and/or downloading data that I can recommend to my patrons?

ECS: Understanding best practices for DBs and data formats, staying up-to-date on best practices

ECS: What are some of the factors I should think about when choosing a database for tracking my data?

ECS: What are some of the best practices that I should be aware to ensure my data/dadtabase format is consistent with the science community that I am part of

ECS: What factors should I consider if I want to update my database to a new version in terms of the impact on the data that's already in it, e.g., is that a new version and waht should I do about that, if anything?

ECS: What data formats are most often used in my field and why

CE: What are some of the key data formats that my student should be familiar with and understand how to choose between them.

CE: What are the recommended data formats for the types of data that my students are working with.

CE: What are the best practices when building/working with databases.

CE: What are the tools that can help my student to work more efficiently with databases.

CE: What are the tools that my student can use to convert different data formats.

SDL: Keeping up with trends and best practices so that recommendations can be provided to ECS and CE as appropriate.

SDL: What are the recommended data formats and the rational for their recommendataions for the major types of data that the academic/research community is producing.

SDL: Maintaining a working knowledge of databases and data formats.

SDL: What are the key tools that the academic/research community is using to process/work with their data

ECS: What are some of the factors that will influence my data's compatibility/interoperability with other data from my research community.

ECS: What are some of the processing that users outside of my research community might need to perform in order to use my data.

CE: Reasons that my students be concernted with format migration.

CE: What are the areas that my students should be aware of to help minimize the risk of data loss due to incompatibility.

SDL: Determining when data or a format needs to be migrated. Who needs to be involved - IT, Finance, Records.

SDL: What are the key technologies that could be used to assist data consersion/migration.

SDL: What are the best practices/lessons learned for data conversion/migration.

ECL: Which tools and methods are available for data processing and analysis and how do I choose between them?

ECL: What are best practices for documentation of processing and analysis

SDL: Able to relay steps in lifecycle to ECS and CE so that data management functions occur at appropriate times.

SDL: Current on acceptable metadata standards and able to assist ECS and CS on building their respective metadata.

SDL: Acquires a working knowledge of the science data value allowing the appropriate preservation actions to be taken at the proper points in the lifecyle of the science data.