scholarly journals Do I Have To Be An “Other” To Be Myself? Exploring Gender Diversity In Taxonomy, Data Collection, And Through The Research Data Lifecycle

2021 ◽  
Vol 10 (4) ◽  
Author(s):  
Ari Gofman ◽  
Sam A. Leif ◽  
Hannah Gunderman ◽  
Nina Exner
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Research Question ◽  
Good Practice ◽  
Gender Diversity ◽  
Radical Change ◽  
Management Plan ◽  
Data Repositories ◽  
Planning Stage ◽  
Gender Category

Objective: Existing studies estimate that between 0.3% and 2% of adults in the U.S. (between 900,000 and 2.6 million in 2020) identify as a nonbinary gender or otherwise gender nonconforming. In response to the RDAP 2021 theme of radical change, this article examines the need to change how datasets represent nonbinary persons and how research involving gender data should approach the curation of this data at each stage of the research lifecycle. Methods: In this article, we examine some of the known challenges of gender inclusion in datasets and summarize some solutions underway. Using a critical lens, we examine the difference between current practice and inclusive practice in gender representation, describing inclusive practices at each stage of the research lifecycle from writing a data management plan to sharing data. Results: Data structures that limit gender to “male” and “female” or ontological structures that use mapping to collapse gender demographics to binary values exclude nonbinary and gender diverse populations. Some data collection instruments attempt inclusivity by adding the gender category of “other,” but using the “other” gender category labels nonbinary persons as intrinsically alien. Inclusive change must go farther, to move from alienation to inclusive categories. We describe several techniques for inclusively representing gender in data, from the data management planning stage, to collecting data, cleaning data, and sharing data. To facilitate better sharing of gender data, repositories must also allow mapping that includes nonbinary genders explicitly and allow for ontological mapping for long-term representation of diverse gender identities. Conclusions: A good practice during research design is to consider two levels of critique in the data collection plan. First, consider the research question at hand and remove unnecessary gendering from the data. Secondly, if the research question needs gender, make sure to include nonbinary genders explicitly. Allies must take on this problem without leaving it to those who are most affected by it. Further, more voices calling for inclusionary practices surrounding data rises to a crescendo that cannot be ignored.

Qualitative Data Management and Analysis within a Data Repository

2019 ◽  
Vol 42 (8) ◽  
pp. 640-648 ◽  
Author(s):  
Marcy G. Antonio ◽  
Kara Schick-Makaroff ◽  
James M. Doiron ◽  
Laurene Sheilds ◽  
Lacie White ◽  
...  
Keyword(s):  
Qualitative Research ◽  
Data Management ◽  
Management Plan ◽  
Data Repository ◽  
Data Repositories ◽  
Research Teams ◽  
Geographically Dispersed ◽  
Audio Recordings ◽  
Field Notes ◽  
Period Data

Data repositories can support secure data management for multi-institutional and geographically dispersed research teams. Primarily designed to provide secure access, storage, and sharing of quantitative data, limited focus has been given to the unique considerations of data repositories for qualitative research. We share our experiences of using a data repository in a large qualitative nursing research study. Over a 27-month period, data collected by this 15-member team from 83 participants included photos, audio recordings and transcripts of interviews, and field notes. The data repository supported the secure collection, storage, and management of over 1,800 files with data. However, challenges were introduced during analysis that required negotiations about the structure and processes of the data repository. We discuss strengths and limitations of data repositories, and introduce practical strategies for developing a data management plan for qualitative research, which is supported through a data repository.

scholarly journals Information Integration for Machine Actionable Data Management Plans

2017 ◽  
Vol 12 (1) ◽  
pp. 22-35 ◽  
Author(s):  
Tomasz Miksa ◽  
Andreas Rauber ◽  
Roman Ganguly ◽  
Paolo Budroni
Keyword(s):  
Data Management ◽  
Information Integration ◽  
Open Science ◽  
Management Plan ◽  
Reproducible Research ◽  
Free Form ◽  
Text Documents ◽  
Data Repositories ◽  
Standard Data ◽  
Management Plans

Data management plans are free-form text documents describing the data used and produced in scientific experiments. The complexity of data-driven experiments requires precise descriptions of tools and datasets used in computations to enable their reproducibility and reuse. Data management plans fall short of these requirements. In this paper, we propose machine-actionable data management plans that cover the same themes as standard data management plans, but particular sections are filled with information obtained from existing tools. We present mapping of tools from the domains of digital preservation, reproducible research, open science, and data repositories to data management plan sections. Thus, we identify the requirements for a good solution and identify its limitations. We also propose a machine-actionable data model that enables information integration. The model uses ontologies and is based on existing standards.

scholarly journals Dealing with Data: Science Librarians’ Participation in Data Management at Association of Research Libraries Institutions

2014 ◽  
Vol 75 (4) ◽  
pp. 557-574 ◽  
Author(s):  
Karen Antell ◽  
Jody Bales Foote ◽  
Jaymie Turner ◽  
Brian Shults
Keyword(s):  
Data Management ◽  
Academic Libraries ◽  
Data Science ◽  
Management Plan ◽  
Funding Agency ◽  
Management Support ◽  
Data Repositories ◽  
Institutional Repositories ◽  
Research Libraries ◽  
Association Of Research Libraries

As long as empirical research has existed, researchers have been doing “data management” in one form or another. However, funding agency mandates for doing formal data management are relatively recent, and academic libraries’ involvement has been concentrated mainly in the last few years. The National Science Foundation implemented a new mandate in January 2011, requiring researchers to include a data management plan with their proposals for funding. This has prompted many academic libraries to work more actively than before in data management, and science librarians in particular are uniquely poised to step into new roles to meet researchers’ data management needs. This study, a survey of science librarians at institutions affiliated with the Association of Research Libraries, investigates science librarians’ awareness of and involvement in institutional repositories, data repositories, and data management support services at their institutions. The study also explores the roles and responsibilities, both new and traditional, that science librarians have assumed related to data management, and the skills that science librarians believe are necessary to meet the demands of data management work. The results reveal themes of both uncertainty and optimism—uncertainty about the roles of librarians, libraries, and other campus entities; uncertainty about the skills that will be required; but also optimism about applying “traditional” librarian skills to this emerging field of academic librarianship.

scholarly journals Research data management and services: Resources for different data practitioners

2021 ◽  
Vol 45 (3-4) ◽  
Author(s):  
Gilbert Mushi
Keyword(s):  
Data Management ◽  
Developed Countries ◽  
Management Plan ◽  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Research Libraries ◽  
Research Data Management ◽  
Metadata Standards ◽  
Training Resources

The emergence of data-driven research and demands for the establishment of Research Data Management (RDM) has created interest in academic institutions and research organizations globally. Some of the libraries especially in developed countries have started offering RDM services to their communities. Although lagging behind, some academic libraries in developing countries are at the stage of planning or implementing the service. However, the level of RDM awareness is very low among researchers, librarians and other data practitioners. The objective of this paper is to present available open resources for different data practitioners particularly researchers and librarians. It includes training resources for both researchers and librarians, Data Management Plan (DMP) tool for researchers; data repositories available for researchers to freely archive and share their research data to the local and international communities.   A case study with a survey was conducted at the University of Dodoma to identify relevant RDM services so that librarians could assist researchers to make their data accessible to the local and international community. The study findings revealed a low level of RDM awareness among researchers and librarians. Over 50% of the respondent indicated their perceived knowledge as poor in the following RDM knowledge areas; DMP, data repository, long term digital preservation, funders RDM mandates, metadata standards describing data and general awareness of RDM. Therefore, this paper presents available open resources for different data practitioners to improve RDM knowledge and boost the confidence of academic and research libraries in establishing the service.

scholarly journals Remediation Data Management Plans

2019 ◽  
Vol 13 (1) ◽  
pp. 352-361
Author(s):  
Clara Llebot
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Data Management ◽  
Management Practices ◽  
Research Projects ◽  
Planning Stage ◽  
Good Data ◽  
Management Plans ◽  
Grant Proposals

 Data   Management   Plans   (DMPs)   have   been   used   in   the   last   decade   to   encourage   good data   management   practices   among   researchers.   DMPs   are   widely   used,   preventive   tools that   encourage   good   data   management   practices.   DMPs   are   traditionally   used   to   manage data   during   the   planning   stage   of   the   project,   often   required   for   grant   proposals,   and   prior to   data   collection.   In   this   paper   we   will   use   a   case   study   to   argue   that   Data   Management  Plans   can   be   useful   in   improving   the   management   of   the   data   of   research   projects   that  have   moved   beyond   the   planning   stage   of   the   research   life   cycle.   In   particular,   we   focus  on   the   case   of   active   projects   where   data   has   already   been   collected   and   is   still   being  analyzed.   We   discuss   the   differences   and   commonalities   in   structure   between   preventive Data   Management   Plans   and   remedial   Data   Management   Plans,   and   describe   in   detail   the additional   considerations   that   are   needed   when   writing   remedial   Data   Management   Plans: the   goals   and   audience   of   the   document,   the   data   inventory,   and   an   implementation   plan. 

Coastal monitoring and data management for restoration in Louisiana

Shore & Beach ◽  
2020 ◽  
pp. 92-101
Author(s):  
Richard Raynie ◽  
Syed Khalil ◽  
Charles Villarrubia ◽  
Ed Haywood
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Management System ◽  
Monitoring Program ◽  
Document Retrieval ◽  
Information Management System ◽  
System Level ◽  
Coastal Protection ◽  
Second Phase ◽  
Coastal Louisiana

The Coastal Protection and Restoration Authority (CPRA) of Louisiana was created after the devastating hurricanes of 2005 (Katrina and Rita) and is responsible for planning and implementing projects that will either reduce storm-induced losses (protection) or restore coastal ecosystems that have been lost or are in danger of being lost (restoration). The first task of the CPRA board was to develop Louisiana’s first Coastal Master Plan (CPRA 2007), which formally integrates and guides the protection and restoration of Louisiana’s coast. The System-Wide Assessment and Monitoring Program (SWAMP) was subsequently developed as a long-term monitoring program to ensure that a comprehensive network of coastal data collection activities is in place to support the planning, development, implementation, and adaptive management of the protection and restoration program and projects within coastal Louisiana. SWAMP includes both natural-system and human-system components and also incorporates the previously-developed Coastwide Reference Monitoring System (CRMS), the Barrier Island Comprehensive Monitoring (BICM) program, and fisheries data collected by the Louisiana Department of Wildlife and Fisheries (LDWF) in addition to other aspects of system dynamics, including offshore and inland water-body boundary conditions, water quality, risk status, and protection performance, which have historically not been the subject of CPRA-coordinated monitoring. This program further facilitates the integration of project-specific data needs into a larger, system-level design framework. Monitoring and operation of restoration and protection projects will be nested within a larger hydrologic basin-wide and coast-wide SWAMP framework and will allow informed decisions to be made with an understanding of system conditions and dynamics at multiple scales. This paper also provides an update on the implementation of various components of SWAMP in Coastal Louisiana, which began as a Barataria Basin pilot implementation program in 2015. During 2017, the second phase of SWAMP was initiated in the areas east of the Mississippi River. In 2019, development of SWAMP design was completed for the remaining basins in coastal Louisiana west of Bayou Lafourche (Figure 1). Data collection is important to inform decisions, however if the data are not properly managed or are not discoverable, they are of limited use. CPRA is committed to ensuring that information is organized and publicly available to help all coastal stakeholders make informed, science-based decisions. As a part of this effort, CPRA has re-engineered its data management system to include spatial viewers, tabular download web pages, and a library/document retrieval system along with a suite of public-facing web services providing programmatic access. This system is collectively called the Coastal Information Management System (CIMS). CPRA and U.S. Geological Survey (USGS) are also developing a proposal to create an interface for CIMS data to be exported to a neutral template that could then be ingested into NOAA’s Data Integration Visualization, Exploration and Reporting (DIVER) repository, and vice versa. DIVER is the repository that the Natural Resource Damage Assessment (NRDA) program is using to manage NRDA-funded project data throughout the Gulf of Mexico. Linking CIMS and DIVER will make it easier to aggregate data across Gulf states and look at larger, ecosystem-level changes.

scholarly journals Global media flows: A qualitative review of research methods in audio-visual flow studies

2018 ◽  
Vol 81 (6-8) ◽  
pp. 748-767
Author(s):  
Catalina Iordache ◽  
Leo Van Audenhove ◽  
Jan Loisen
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Research Question ◽  
Secondary Data ◽  
Visual Content ◽  
Global Media ◽  
Film And Television ◽  
Recent Developments ◽  
Media Flows

Recent developments in the online distribution and consumption of audio-visual content have brought relevant changes to the transnational flow of content. Thus, the need for a theoretical and methodological rejuvenation of flows research has been signalled. The aim of the present study is to analyse the different flow studies throughout time, following a series of parameters such as research question, methodology and scale of study. This article is a systematic literature review of 30 flow studies on film and television programmes, published between 1974 and 2014. The methods used by the studies are brought into focus and discussed thoroughly, in light of the method of data collection, the type of data used and the method of data analysis. Main findings show an evolution towards more detailed research, to include more contextual factors, an increased use of secondary data, as well as more focused regional and comparative studies.

Interventions Promoting Educators’ Use of Data: Research Insights and Gaps

2012 ◽  
Vol 114 (11) ◽  
pp. 1-48 ◽  
Author(s):  
Julie A. Marsh
Keyword(s):  
Data Collection ◽  
Research Question ◽  
Time Frame ◽  
System Level ◽  
Quality Of Data ◽  
Leverage Points ◽  
Knowledge To Action ◽  
Use Of Data ◽  
The Individual ◽  
Capacity Data

Background/Context In recent years, states, districts, schools, and external partners have recognized the need to proactively foster the use of data to guide educational decision-making and practice. Understanding that data alone will not guarantee use, individuals at all levels have invested in interventions to support better access to, interpretation of, and responses to data of all kinds. Despite the emergence of these efforts, there has been little systematic examination of research on such efforts. Purpose/Objective/Research Question/Focus of Study This article synthesizes what we currently know about interventions to support educators’ use of data—ranging from comprehensive, system-level initiatives, such as reforms sponsored by districts or intermediary organizations, to more narrowly focused interventions, such as a workshop. The article summarizes what is what is known across studies about the design and implementation of these interventions, their effects at the individual and organizational levels, and the conditions shown to affect implementation and outcomes. Research Design Literature review. Data Collection and Analysis This review entailed systematic searches of electronic databases and careful sorting to yield a total of 41 books, peer-reviewed journal articles, and reports. Summaries of each publication were coded to identify the study methods (design, framework, sample, time frame, data collection), intervention design (level of schooling, focal data and data user, leverage points, components), and findings on implementation, effects, and conditions. Findings/Results The review uncovers a host of common themes regarding implementation, including promising practices (e.g., making data “usable” and “safe,” targeting multiple leverage points) and persistent challenges (e.g., developing support that is generic but also customized, sustaining sufficient support). The review also finds mixed findings and levels of research evidence on effects of interventions, with relatively more evidence on effects on educators’ knowledge, skills, and practice than on effects on organizations and student achievement. The article also identifies a set of common conditions found to influence intervention implementation and effects, including intervention characteristics (capacity, data properties), broader context (leadership, organizational structure), and individual relationships and characteristics (trust, beliefs and knowledge). Conclusions/Recommendations The review finds that the current research base is limited in quantity and quality. It suggests the need for more methodologically rigorous research and greater attention to the organizational and student-level outcomes of interventions, comparative analyses, interventions that help educators move from knowledge to action, and specific ways in which the quality of data and leadership practices shape the effectiveness of interventions.

Stakeholders and opportunities of debt settlement as a values-based banking activity in Hungary

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zsuzsanna Győri ◽  
Borbála Benedek
Keyword(s):  
Research Question ◽  
Good Practice ◽  
Banking System ◽  
Financial Inclusion ◽  
Stressful Situation ◽  
Content Type ◽  
Main Research ◽  
The Poor ◽  
Lessons Learnt

Purpose The purpose of this paper is to discuss the stakeholders of debt settlement programmes in general and some lessons learnt from the most significant debt settlement programmes of recent years in Hungary. The study also presents a planned debt settlement programme in Hungary. The paper explores and details behaviours and motivations of different stakeholders in debt settlement in general and also with reference to a specific case study. As for its main research question, the paper seeks to identify the preconditions of a successful debt settlement programme with specially emphasis on the poor. Design/methodology/approach Data from semi-structured in-depth expert interviews, documents and former research papers were collected for identifying previous Hungarian debt settlement programmes and potential lessons learnt. After a general discussion, based on primary and secondary sources, a case study is presented to obtain a more comprehensive understanding of opportunities and challenges of debt settlement. Findings Six preconditions of successful debt settlement targeting the poor are identified. In the case study, the existence and relevance of these preconditions are tested: the main finding is that they all are important for solving the situations, so a partial solution is not sufficient. In the scope of the case study, more precisely within the planned innovative banking solution, the motivations of the bank and the coordinator NGO are identified. On the part of the bank, motivations for solving social problems (both as far as business and moral issues are concerned) are relevant, while – as for the other party – the situation of the debtor is important to understand so that opportunities of cooperation can be identified. In addition, as other stakeholders also influence the potentials of the programme, their cooperative attitude is also needed. Research limitations/implications Limitations consist in generalisation: the study presents some cases from one single country and finally it focuses only on one specific case in one specific social and economic context in Hungary. Having recognized this risk, the author opted for basing research questions on theory, documented the process in detail, and also used triangulation through applying a multiple data collection (interview, content analysis, literature review) method. Practical implications Besides presenting an academic understanding of the phenomena, the goal of the study is to contextualize and interpret the case, to help the realization of currently frozen initiatives and to promote similar future ones. Social implications Indebtedness is a stressful situation affecting families, smaller communities and broader society as well. The planned cooperation of BAGázs and MagNet tries to help people excluded from the banking system. So that a deeper debt trap can be avoided, the goal of this programme is to purchase, partially discharge and reschedule pre-accumulated debts of carefully selected people who have regular income and are willing to undertake bearable repayment. The idea is very innovative with literally no good practice to follow. The research seeks to clarify the pitfalls and opportunities to help the realization of the project and similar future ones. Originality/value A certain form of values-based banking concerns the financial inclusion of the poor, e.g. debt settlement. Nevertheless, over-indebtedness and the settlement of existing debts as well as the relevance of such issues to the financial inclusion are not emphasized enough in the literature or in practice. Besides presenting an academic understanding of the phenomena, the goal of the study is to contextualize and interpret the case, to help the realization of currently frozen initiatives and to promote similar future ones.

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