Needs and expectations of DataONE tools:
Abby is hopeful that DataONE will provide tools that will help the researchers with whom she works, most of whom are not data managers nor interested in becoming one. She maintains a list of repositories that are relevant to her researchers and will add DataONE and guide researchers to use it when it is operational. She would like resources to support instruction in use of data and data tools as well as guidance about data sharing standards. For example, groups struggle with issues such as deciding what data are worth depositing and developing consistent metadata—if DataONE can provide help in these areas, it will be welcomed.
Intellectual and physical skills that can be applied:
Abby brings numerous diverse skills to her position. She brings traditional librarian skills such as knowledge of the subject area data resources, and an ability to assess researchers’ needs and match them to the resources. Through a data interview (parallel to a reference interview), she can help researchers think through their data and its management issues. She has skills in information organization and knowledge of good ways to format data and of controlled vocabulary. Perhaps her most important skills are in personal interaction, being able to listen and her flexibility, such as the capability to interact with multiple granularities of data at the same time, from DataONE and the institutional repository, and then with a lab with single laptop.
Technical support available:
Abby has some technical skills, but relies on the library and campus information technology departments for system support.
Personal biases about data sharing and reuse (and data management more generally):
Abby is a strong believer in the importance and value of data sharing and reuse and has always worked with scientists who share that belief. However, she is aware that researchers need to receive recognition and credit for their work to be successful in their careers and that sharing data is only a viable option if it provides that. She is interested in learning about other ways to recognize and assess the impact of data sharing so she can provide that information to her patrons. Furthermore, she knows enough of the science to realize that the value of data is tied to the scientific understanding behind the data, so it is critical to share the later to make sharing the former sensible.