Adding Data Literacy Skills to Your Toolkit

DEVELOPING SELECTED SKILLS IN DATA LITERACY AND MANAGEMENT CAN HELP LIBRARIANS MAKE A SUBSTANTIAL CONTRIBUTION TO THE STABILITY AND LONG-TERM PRESERVATION OF DATA AT THEIR ORGANIZATION

Engineering / Faculty / Sapp Nelson / Purdue University / 2015

These materials were developed to assist a cohort of early career engineering education faculty to critically consider aspects of data management that they may implement in their developing research groups. These materials were used in the context of a two hour workshop and one hour brownbag. In the brownbag, the results of the Data Information Literacy research grant were discussed as they may be relevant to the early career faculty. The faculty then completed a self-assessment to identify their weak areas of data management and their personal priorities for data management. The two hour workshop was then conducted to assist faculty members to brainstorm solutions or implementations that may allow them to better manage the data their labs will be producing

Pilot Data Information Literacy Competencies Matrix Scaffolded Across Undergraduate, Graduate and Data Steward Levels

Initial work in identifying data management or data information literacy skills went as far as identifying a list of proposed competencies without further differentiation between those competencies, whether by discipline, complexity, or use case. This article describes a significant innovation upon existing competencies by identifying a scaffolding (built upon existing competencies) that moves students progressively from undergraduate training through post graduate coursework and research to post-doctoral work and into the early years of data stewardship. The scaffolding ties together existing research that has been completed in research data management skills and data information literacy with research into the outcomes that are desirable for individuals to present in data management at each of the levels of education. Competencies are aligned according to application (personal, team, research enterprise) in such a way that the skills attained at the undergraduate level give students moving on to graduate work greater familiarity with data management and therefore greater likelihood of success at the graduate and then post graduate and data steward levels

Data Information Literacy: Multiple Paths to a Single Goal

This lightning talk presentation briefly covers each DIL team\u27s experience working with a specific discipline and their response to identified data management/curation needs

Thinking Critically About Data Consumption: Creating the Data Credibility Checklist

As STEM areas increasingly rely on pre-existing data, either to validate or extend the scientific body of knowledge, students who have baseline knowledge of how to find, evaluate, and access data will have an advantage. Accordingly, undergraduate STEM curricula is increasingly focused on research-based group projects that develop professional skills, building the professional portfolio needed for early career scientists, technologists, and engineers. This project works to develop new tools to implement basic data skills within the undergraduate disciplinary curricula. The first step in this process was to identify the competencies that are likely to be needed by those seeking data for reuse. Using competencies identified in the literature and via brainstorming, formatted similarly to the traditional model used by librarians to teach assessment of publication quality, a data credibility checklist was developed as the first tool in an emerging toolkit

Using backward design to create research data management professional development for information professionals

This poster details the design process that was used to develop the Association of College and Research Libraries “Building Your Research Data Management Toolkit: Integrating RDM into Your Liaison Work” road show. Starting with the development of learning objectives, and highlighting the multiple assessments that are offered prior to the road show experience, during the road show itself, and follows up the road show at the one month and six month post- show mark. The poster then shows the links between the learning objectives, assessments, and learning activities developed to assist learners to meet the learning objectives

The Data Engagement Opportunities Scaffold: Development and Implementation

While interest in research data management (RDM) services have grown, clarifying the path between traditional library responsibilities and RDM remains a challenge. While the literature has provided ideas about services and student-/researcher-focused data information literacy (DIL) competencies, nothing has yet brought these skill sets together to provide a pathway for librarians engaging in RDM. The Data Engagement Opportunities scaffold was developed to provide a strategic trajectory relating information science skills, the DIL competencies, the stages of the data life cycle, three levels of RDM engagement activities, and potential measurable outcomes. This scaffold provides direction for librarians looking to identify their current abilities and explore new opportunities

Electrical and Computer Engineering/ Undergraduates/ Carlson & SappNelson/ Purdue University/ 2012

This is a case study of a semester long data information literacy program employing an embedded librarian approach to teach students competencies in describing, organizing and documenting their work in developing software code. Materials include a book chapter describing the case study, a rubric for evaluating software code and its accompanying documentation, a handout to introduce the program to teaching assistants, a lesson plan for a skills session on documenting software code, and a list of possible activities to encourage good practice in describing and documenting code

A pilot big data education modular curriculum for engineering graduate education: Development and implmentation

Engineering higher education increasingly produces data in the volume, variety, velocity, and need for veracity such that the output of the research is considered “Big Data”. While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members’ knowledge in training graduate and undergraduate research assistants in the management of Big Data. The project described herein details the development of a Big Data education module for a group of graduate researchers and undergraduate research assistants in Electrical and Computer Engineering. This project has the following objectives: to document and describe current data management practices; to identify gaps in knowledge that need to be addressed in order for research assistants to successfully manage Big Data; and to create curricular interventions to address these gaps. This paper details the motivation, relevant literature, research methodology, curricular intervention, and pilot presentation of the module. Results indicate that, generally, students involved in Big Data projects need comprehensive introduction to the topic, which will be most effective when contextualized to the work that they are performing in the research or classroom environment