Exploring Best Practices for Research Data Management in Earth Science through Collaborating with University Libraries

To address the growing demand for managing earth science data, the Council on Library and Information Resources (CLIR) partners with the Library and Technology Services (LTS) of Lehigh University and Purdue University Libraries (PUL) on hosting postdoctoral fellows in data curation activity. This inter-disciplinary fellowship program funded by the SLOAN Foundation innovatively connects university libraries and earth science departments and provides earth science Ph.D.s opportunities to use their research experiences in earth science and data curation trainings received during their fellowship to explore best practices for research data management in earth science and find out answers to: How can the academic library can play a core role in STEM outreach/pipeline development and data curation that supports a research university agenda? Is it possible for a library to promote a cost saving if such data curation can be effectively sustained in data research lifecycles

An International GIS and Data Curation Dissemination Framework Using Mobile Devices: A Purdue-Aalto University Example

The Purdue University Libraries in collaboration Aalto University Library presents a framework for an international method of bridging geospatial resources from one university campus to another. It should be noted that this is a small-scale framework based on open policy, open access and the Group of Earth Observation Systems of Systems (GEOSS) values of sharing data, resources and cyber-infrastructure capacity. This framework advocates that library services could pioneer knowledge dissemination efforts in a low cost manner utilizing mobile devices that can link international users with resources and advance international collaborative inter-librarian data support services that may incite cost reduction of operations while still broadening an international research mission of collaborating universities. Lastly, various forms of data curation may benefit from international collaboration, including such as educational data curation

Autonomous Indoor Localization via Field Mapping Techniques, with Agricultural Big Data Application

This joint collaboration between the library, the Mechanical Engineering department shows the current research of localizing an Android smartphone using big data collection and sensor fusion techniques. The original work is Autonomous Indoor Localization via Field Mapping Techniques which primarily designed as indoor fire and safety aid. For Agricultural Big Data Use, the Android smartphone is being applied to in indoor greenhouse fire, safety and data knowledge design. Such may aid big data tool value to greenhouse fire and safety design and any data that may be important fieldwork considerations. The indoor agricultural mapping application may be application to greenhouses in indoor growing labs that promote educational and resource management capacity.For Big Data management we intend to utilize the CRIS (Figure 1) scientific workflow system and Purdue ionomic information management systems designed by Benjamin Branch, Peter Baker, Jia Xu, Elisa Bertino

A Justification for Semantic Training in Data Curation Frameworks Development

In the complex data curation activities involving proper data access, data use optimization and data rescue, opportunities exist where underlying skills in semantics may play a crucial role in data curation professionals ranging from data scientists, to informaticists, to librarians. Here, We provide a conceptualization of semantics use in the education data curation framework (EDCF) (Fig. 1) [1] under development by Purdue University and endorsed by the GLOBE program [2] for further development and application. Our work shows that a comprehensive data science training includes both spatial and non-spatial data, where both categories are promoted by standard efforts of organizations such as the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C), as well as organizations such as the Federation of Earth Science Information Partners (ESIP) that share knowledge and propagate best practices in applications

Geo-Referencing and Map Layer Development: A Data Recovery Task in Zinder, Niger

The Purdue University Libraries’ GIS department is working to advance geospatial services campus wide. In addition to conducting data curation profiles research in an IRB approved manner, we aim to validate new ways and means to make GIS services viable for large and diverse student and faculty community of over 40,000 students, all departments and along interdisciplinary boundaries. Here is a prototype of our mobile dissemination GIS of services and development in collaboration with Aalto University Library. Here, we discuss in a 3-fold manner how the GIS Dept. has prototyped a means of mobile GIS knowledge dissemination towards the development of library-led campus wide geospatial data services for future considerations. Such may offer timely and low cost data navigation of GIS resources using one’s smartphone or tablet device

Working to define data curated geospatial services on a Research Campus, a Purdue University Libraries Example

As Data Curation is becoming a necessity of data science and library science, Purdue University Libraries has been a leader in data curation profiles research. Such research can be defined as a data stewardship protocol similar to a multiple use case analysis. In this this example, The Purdue University Libraries Geographical Information Systems (GIS) department has engaged in a data curation profiles assessment of the campus to baseline and qualify sustainable geospatial data services

GIS and Data Curation Librarianship: Mobile Dissemination of GIS Resources

The Purdue University Libraries’ GIS department is working to advance geospatial services campus wide. In addition to conducting data curation profiles research in an IRB approved manner, we aim to validate new ways and means to make GIS services viable for large and diverse student and faculty community of over 40,000 students, all departments and along interdisciplinary boundaries. Here is a prototype of our mobile dissemination GIS of services and development in collaboration with Aalto University Library. Here, we discuss in a 3-fold manner how the GIS Dept. has prototyped a means of mobile GIS knowledge dissemination towards the development of library-led campus wide geospatial data services for future considerations. Such may offer timely and low cost data navigation of GIS resources using one’s smartphone or tablet device

Libraries as Advocates of Citizen Science Awareness on Emerging Open Geoscience Platforms in Finnish Society - International Collaboration for Promoting Open Geoscience Content in Finnish University Libraries

In the Finnish National Spatial Strategy 2010-2015, the Finland’s Ministry of Agriculture and Forestry delineated that spatial data skills should support citizens everyday activities and facilitate decision-making and participation of citizens. The emerging of new open data infrastructures, a trend further driven by European Union’s policies, calls out for an institution to link to the new possibilities of these resources with the myriad of their possible user groups. The following framework examines open geoscience platforms and open data trends affecting Finnish libraries, and discusses the possible role of Finnish university libraries as advocates of citizen science awareness of these emerging resources. The framework also examines the benefits derived from an international collaboration on data advocacy between Aalto University Libraries and Purdue University Libraries

A CRIS Data Science Investigation of Scientific Workflows of Agriculture Big Data and its Data Curation Elements

This joint collaboration between the Purdue Libraries and Cyber Center demonstrates the next generation of computational platforms supporting interdisciplinary collaborative research. Such platforms are necessary for rapid advancements of technology, industry demand and scholarly congruence towards open data, open access, big data and cyber-infrastructure data science training. Our approach will utilize a Discovery Undergraduate Research Investigation effort as a preliminary research means to further joint library and computer science data curation research, tool development and refinement