Time: Wednesday, June 4, 12:40-13:40
Chair: Marilyn Andrews
Roundtables are an informal presentation/discussion where scheduled participants decide how to structure the time. If you are interested in participating, you can sign up for your choice in advance. Topics that have been proposed are as follows:
Two Words: No Re-Identification
- Presenter(s): Lisa Neidert, University of Michigan
- Abstract: Appropriate data access is critical in this age of the Big/Open Data where potential disclosure linkages exist across data sets. In addition, with new data sharing requirements by funders, data providers are more likely to make their data available to the larger user data universe. At the same time computer, data, and information scientists explore re-identification vulnerabilities – often publishing proof of the successful algorithm and the potential data breach. The reality is not all data should be public, but data providers are not always aware of the best practices in crafting access conditions. And, these access conditions need to include terms that shut down the disclosures by re-identification researchers because with every news release by them, researchers are losing access to original (e.g., not statistically manipulated/blurred) data. This press coverage also may dampen cooperation with research subjects who do not want to have their survey responses/biological assays made public. This paper will (a) describe a few re-identification cases; (b) delineate the contract conditions landscape, which contributes to re-identification disclosures; and (c) recommend conditions to include in not just restricted data contracts, but also for access to public-use data (hat tip to ICPSR/NCHS), which already include these clauses.
Rediscovering Serendipity: Curating Research Data for Re-Use
- Presenter(s): Ashley Jester, Columbia University Libraries/Information Services
- Abstract: When considering the possibilities for the re-use of research data, it is important to understand that researchers are unlikely to imagine all of the possible applications for their data, particularly from outside fields. Given that some of the most exciting and innovative work comes from “unusual” applications of existing research data, it is critical that research data be curated in such a way that it can later be discovered and used by the broadest audience possible. This talk will discuss the importance of data documentation to re-use, focusing in particular on the need to make documentation accessible to researchers outside of the field in which the data was originally created. This talk will present case studies demonstrating how research data created in one area of study has been used by researchers in other fields in order to develop a model of how research data should be documented in order to enable broad re-use. The emphasis will be on the ways that data can be documented to enable serendipitous discovery, enabling the re-use of research data beyond its initial application and encouraging interdisciplinary work through the re-use of research data across fields.
Dealing with ArcGIS Online in an Institutional Setting
- Presenter(s): Mara Rojeski, Georgetown University Library
- Abstract: ESRI, the purveyor of the geospatial analysis software ArcGIS, increasingly emphasizes their online version, which offers some enhanced functionality over the desktop version. Many of the features of ArcGIS Online appeal to users, such as the opportunities for cloud based access to the software and the ease of collaboration that it enables. However, the ArcGIS Online model proves somewhat difficult to adopt at academic and other larger institutions. A user must be signed up for access to the institutional ArcGIS Online account. Once the user has access, each function that they perform in ArcGIS Online uses “service credits” based on a preset scale. This makes it hard for institutions with many user to predict possible usage of the surface. This roundtable will provide participants the opportunity to discuss possible ways to implement ArcGIS Online at academic and other types of institutions, as well as explore alternatives that might still meet user needs. Output of the discussion will be shared via the IASSIST Discussion List.
Data Management Challenges For Social And Natural Sciences
- Presenter(s): Ernie Boyko, CODATA International (ICSU’s Committee for Data); Peter Granda; Claudia Emerson; Wendy Watkins; Laura French
- Abstract: Under the umbrella of the International Council for Science (ICSU), CODATA is concerned with scientific data management and related data repositories and data services, and has a mandate to support and be responsive to the needs of international scientific research, in particular of research programmes sponsored by ICSU and its partners. A recent focus of this research, such as exemplified by the Future Earth initiative, is to understand how the Earth system works and how its many natural and social components interact. This will require effective interdisciplinary collaboration across natural and social sciences, humanities, economics, and technology development, to find the best scientific solutions to the multi-faceted problems facing society. In this session, experts from both natural and social sciences will come together to discuss data management challenges common to both areas of research. On the data management front, bridging the gap that exists between social and natural sciences will address an essential requirement and help advance science for sustainability. Through this panel, we aim to encourage data communities of both worlds to collaborate, prepare, and engage with this new type of global scale research.