An official website of the United States government
Over the last decade, significant changes have affected the work that data repositories of all kinds do. First, the emergence of globally unique and persistent identifiers (PIDs) has created new opportunities for repositories to engage with the global research community by connecting existing repository resources to the global research infrastructure. Second, repository use cases have evolved from data discovery to data discovery and reuse, significantly increasing metadata requirements.To respond to these evolving requirements, we need retrospective and on-going curation, i.e. re-curation, processes that 1) find identifiers and add them to existing metadata to connect datasets to a wider range of communities, and 2) add elements that support reuse to globally connected metadata.The goal of this work is to introduce the concept of re-curation with representative examples that are generally applicable to many repositories: 1) increasing completeness of affiliations and identifiers for organizations and funders in the Dryad Repository and 2) measuring and increasing FAIRness of DataCite metadata beyond required fields for institutional repositories.These re-curation efforts are a critical part of reshaping existing metadata and repository processes so they can take advantage of new connections, engage with global research communities, and facilitate data reuse.
more »
« less
Prototyping a collaborative data curation service for coastal science
The growing push for open data resulted in an abundance of data for coastal researchers, which can lead to problems for individual researchers related to data discoverability. One solution is to explicitly develop services for coastal researchers to help curate data for discovery, hosting discussions around reuse, community building, and finding collaborators. To develop the idea of a coastal data curation service, we investigate aspects of the UNESCO International Coastal Atlas Network member sites that could be used to build a curation service. We develop a minimal example of a coastal data curation service, deploy this as a website, and describe the next steps to move beyond the prototype phase. We envision a coastal data curation service as a way to cultivate a community focused on coastal data discovery and reuse.
more »
« less
- PAR ID:
- 10358195
- Date Published:
- Journal Name:
- Anthropocene Coasts
- Volume:
- 4
- Issue:
- 1
- ISSN:
- 2561-4150
- Page Range / eLocation ID:
- 129 to 136
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Data sharing and reuse are becoming the norm in quantitative research. At the same time, significant skepticism still accompanies the sharing and reuse of qualitative research data on both ethical and epistemological grounds. Nevertheless, there is growing interest in the reuse of qualitative data, as demonstrated by the range of contributions in this special issue. In this research note, we address epistemological critiques of reusing qualitative data and argue that careful curation of data can enable what we term “epistemologically responsible reuse” of qualitative data. We begin by briefly defining qualitative data and summarizing common epistemological objections to their shareability or usefulness for secondary analysis. We then introduce the concept of curation as enabling epistemologically responsible reuse and a potential way to address such objections. We discuss three recent trends that we believe are enhancing curatorial practices and thus expand the opportunities for responsible reuse: improvements in data management practices among researchers, the development of collaborative curation practices at repositories focused on qualitative data and technological advances that support sharing rich qualitative data. Using three examples of successful reuse of qualitative data, we illustrate the potential of these three trends to further improve the availability of reusable data projects.more » « less
-
null (Ed.)Video data are uniquely suited for research reuse and for documenting research methods and findings. However, curation of video data is a serious hurdle for researchers in the social and behavioral sciences, where behavioral video data are obtained session by session and data sharing is not the norm. To eliminate the onerous burden of post hoc curation at the time of publication (or later), we describe best practices in active data curation—where data are curated and uploaded immediately after each data collection to allow instantaneous sharing with one button press at any time. Indeed, we recommend that researchers adopt “hyperactive” data curation where they openly share every step of their research process. The necessary infrastructure and tools are provided by Databrary—a secure, web-based data library designed for active curation and sharing of personally identifiable video data and associated metadata. We provide a case study of hyperactive curation of video data from the Play and Learning Across a Year (PLAY) project, where dozens of researchers developed a common protocol to collect, annotate, and actively curate video data of infants and mothers during natural activity in their homes at research sites across North America. PLAY relies on scalable standardized workflows to facilitate collaborative research, assure data quality, and prepare the corpus for sharing and reuse throughout the entire research process.more » « less
-
This paper describes a machine learning approach for annotating and analyzing data curation work logs at ICPSR, a large social sciences data archive. The systems we studied track curation work and coordinate team decision-making at ICPSR. Archive staff use these systems to organize, prioritize, and document curation work done on datasets, making them promising resources for studying curation work and its impact on data reuse, especially in combination with data usage analytics. A key challenge, however, is classifying similar activities so that they can be measured and associated with impact metrics. This paper contributes: 1) a set of data curation activities; 2) a computational model for identifying curation actions in work log descriptions; and 3) an analysis of frequent data curation activities at ICPSR over time. We first propose a set of data curation actions to help us analyze the impact of curation work. We then use this set to annotate a set of data curation logs, which contain records of data transformations and project management decisions completed by archive staff. Finally, we train a text classifier to detect the frequency of curation actions in a large set of work logs. Our approach supports the analysis of curation work documented in work log systems as an important step toward studying the relationship between research data curation and data reuse.more » « less
-
Novel research ideas require strong evaluations. Modern software engineering research evaluation typically requires a set of benchmark programs. Open source software repositories have provided a great opportunity for researchers to find such programs for use in their evaluations. Many tools/techniques have been developed to help automate the curation of open source software. There has also been encouragement for researchers to provide their research artifacts so that other researchers can easily reproduce the results. We argue that these two trends (i.e., curating open source software for research evaluation and the providing of research artifacts) drive the need for Software Engineer Collaboratories (SEClabs). We envision research communities coming together to create SEClab instances, where research artifacts can be made publicly available to other researchers. The community can then vet such artifacts and make them available as a service, thus turning the collaboratory into a Collaboratory as a Service (CaaS). If our vision is realized, the speed and transparency of research will drastically increase.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1139/anc-2021-0002
