Data Management Plans (DMPs) play an integral role in ensuring that data are collected, organized, stored, and shared responsibly. Qualitative researchers writing such plans frequently ask for examples of excellent DMPs for qualitative research. To respond to this need, and to celebrate excellence in managing and sharing qualitative data, we are excited to announce the inaugural Qualitative Data Management Plan Competition.
The DMP should be about 2 or 3 single-spaced pages in length.
The DMP must be publicly available online. We recommend sharing the DMP directly through the DMPTool or publishing on the Zenodo platform.
The competition is open to DMPs from current or past proposals.
If the DMP was written for a particular funding opportunity, please include a link to the funder’s requirements for DMPs.
The author(s) must complete the submission form no later than 11:59 PM EDT March 15, 2021.
Because of legal restrictions beyond our control, while anyone submitting a DMP will be considered for an award, the monetary component of the award is only available to participants who are eligible to work in the US.
Valid submissions will be reviewed by a panel of five judges, and their evaluations will be guided by the DMP rubric from the DART Project (https://osf.io/kh2y6/). We expect to notify the 10 winners via email by April 30, 2021 and publicly announce them on our websites and social media. Please contact the competition organizers at firstname.lastname@example.org with any questions.
Our panel judges are:
Renata G. Curty, Social Sciences Research Facilitator, UCSB Library’s Research Data Services, University of California, Santa Barbara
Jennifer Doty, Research Data Librarian, Emory University
Celia Emmelhainz, Anthropology & Qualitative Research Librarian, University of California, Berkeley
Megan O’Donnell, Data Services Librarian, Iowa State University
Vicky Steeves, Research Data Management and Reproducibility Librarian, New York University Libraries
Cross-posted from ARL News by Natalie Meyers, Judy Ruttenberg, and Cynthia Hudson-Vitale | October 28, 2020
In preparation for the December 2019 invitational conference, “Implementing Effective Data Practices,” hosted by the Association of Research Libraries (ARL), Association of American Universities (AAU), Association of Public and Land-grant Universities (APLU), and California Digital Library (CDL), we conducted a series of short pre-conference interviews.
We interviewed representatives from scholarly societies, research communities, funding agencies, and research libraries about their perspectives and goals around machine-readable data management plans (maDMPs) and persistent identifiers (PIDs) for data. We hoped to help expose the community to the range of objectives and concerns we bring to the questions we collectively face in adopting these practices. We asked about the value the interviewees see or wish to see in maDMPs and PIDs, their concerns, and their pre-conference goals.
In an effort to make these perspectives more widespread, we are sharing excerpts from these interviews and discussing them in the context of the final conference report that was released recently. Over the next three weeks, we will explore and discuss interview themes in the context of broad adoption of these critical tools.
Why This Work Matters
To start off this series of scholarly communications stakeholder perspectives, we need to position the importance of this infrastructure within broader goals. The overall goal of the conference was to explore the ways that stakeholders could adopt a more connected ecosystem for research data outputs. The vision of why this was important and how it would be implemented was a critical discussion point for the conference attendees.
Benjamin Pierson, then senior program officer, now deputy director for enterprise data, Bill and Melinda Gates Foundation, expressed the value of this infrastructure as key to solving real-world issues and making data and related assets first-class research assets that can be reused with confidence.
Clifford Lynch, executive director, Coalition for Networked Information, stated how a public sharing of DMPs within an institution would create better infrastructure and coordination at the university level for research support.
From the funder perspective, Jason Gerson, senior program officer, PCORI (Patient-Centered Outcomes Research Institute), indicated that PIDs are also essential for providing credit for researchers as well as for providing funders with a mechanism to track the impact of the research they fund.
Margaret Levenstein, director, ICPSR (Inter-university Consortium for Political and Social Research), spoke about the importance of machine-readable DMPs and PIDs for enhancing research practices of graduate students and faculty as well as the usefulness for planning repository services.
For those developing policies at the national level, Dina Paltoo, then assistant director for policy development, US National Library of Medicine, currently assistant director, scientific strategy and innovation, Immediate Office of the Director, US National Heart, Lung, and Blood Institute, discussed how machine-readable data management plan are integral for connecting research assets.
Natalie Meyers is interim head of the Navari Family Center for Digital Scholarship and e-research librarian for University of Notre Dame, Judy Ruttenberg is senior director of scholarship and policy for ARL, and Cynthia Hudson-Vitale is head of Research Informatics and Publishing for Penn State University Libraries.
During the December conference, the project team developed a set of recommendations for the broad adoption and implementation of NSF’s recommended data practices as described in the NSF’s May 2019 Dear Colleague Letter. The report focuses on recommendations for research institutions and also provides guidance for publishers, tool builders, and professional associations. The AAU-APLU Institutional Guide to Accelerating Public Access to Research Data, forthcoming in spring 2021, will include the recommendations.
The conference focused on designing guidelines for (1) using persistent identifiers (PIDs) for datasets, and (2) creating machine-readable data management plans (DMPs), both data practices that were recommended by NSF. Based on the information and insights shared during the conference, the project team developed a set of recommendations for the broad adoption and implementation of NSF’s preferred data practices.
The report focuses on recommendations for research institutions and also provides guidance for publishers, tool builders, and professional associations. The AAU-APLU Institutional Guide to Accelerating Public Access to Research Data, forthcoming in spring 2021, will include the recommendations.
Five key takeaways from the report are:
Center the researcher by providing tools, education, and services that are built around data management practices that accommodate the scholarly workflow.
Create closer integration of library and scientific communities, including researchers, institutional offices of research, research computing, and disciplinary repositories.
Provide sustaining support for the open PID infrastructure that is a core community asset and essential piece of scholarly infrastructure. Beyond adoption and use of PIDs, organizations that sustain identifier registries need the support of the research community.
Unbundle the DMP, because the DMP as currently understood may be overloaded with too many expectations (for example, simultaneously a tool within the lab, among campus resource units, and with repositories and funding agencies). Unbundling may allow for different parts of a DMP to serve distinct and specific purposes.
Unlock discovery by connecting PIDs across repositories to assemble diverse data to answer new questions, advance scholarship, and accelerate adoption by researchers.
The report also identifies five core PIDs that are fundamental and foundational to an open data ecosystem. Using these PIDs will ensure that basic metadata about research is standardized, networked, and discoverable in scholarly infrastructure:
Digital object identifiers (DOIs) from DataCite to identify research data, as well as from Crossref to identify publications
Open Researcher and Contributor (ORCID) iDs to identify researchers
Research Organization Registry (ROR) IDs to identify research organization affiliations
Crossref Funder Registry IDs to identifier research funders
Crossref Grant IDs to identify grants and other types of research awards
The report is intended to encourage collaboration and conversation among a wide range of stakeholder groups in the research enterprise by showcasing how collaborative processes help with implementing PIDs and machine-actionable DMPs (maDMPs) in ways that can advance public access to research.
This material is based upon work supported by the National Science Foundation under Grant Number 1945938. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
John Chodacki, California Digital Library
Cynthia Hudson-Vitale, Pennsylvania State University
Natalie Meyers, University of Notre Dame
Jennifer Muilenburg, University of Washington
Maria Praetzellis, California Digital Library
Kacy Redd, Association of Public and Land-grant Universities
Judy Ruttenberg, Association of Research Libraries
We are excited to announce the completion of the first project of our newly established DMPTool Editorial board. As of September 2020, the Board has audited 36 funder templates within the DMPTool and updated the templates when necessary to reflect current proposal requirements and ensure all funder related content is up to date.
Template updates mean that admins will now need to transfer any customizations you may have created for these templates (instructions here).
None of the updates made to templates affect the core requirements of the DMPs and updates largely involve correcting links, resources, and other data management planning requirements. A detailed summary of the changes for each template is below and you can view all templates on the DMPTool Funder Requirements page.
The critical work keeping the DMPTool in line with current funder requirements would not have been possible without the effort, expertise, and excellence of our volunteer Editorial Board and we at the DMPTool are endlessly grateful for their commitment to supporting the tool. Please join us in recognizing their contributions and thanking them for their work supporting our shared infrastructure advancing research data management.
Heather L Barnes, PhD, Digital Curation Librarian, Wake Forest University
Raj Kumar Bhardwaj, PhD, Librarian, St Stephen’s College, University of Delhi, India
Renata G. Curty, PhD, Social Sciences Data Curator, University of California, Santa Barbara
Jennifer Doty, Research Data Librarian, Emory University
Nina Exner, Research Data Librarian, Virginia Commonwealth University
Geoff Hamm, PhD, Scientific Publications Coordinator, Lawrence Berkeley National Laboratory
Janice Hermer, Health Sciences Liaison Librarian, Arizona State University
Megan O’Donnell, Data Services Librarian, Iowa State University
Reid Otsuji, Data Curation Specialist Librarian, University of California, San Diego
Nick Ruhs, PhD, STEM Data & Research Librarian, Florida State University
Anna Sackmann, Science Data & Engineering Librarian, University of California, Berkeley
Bridget Thrasher, PhD, Data Stewardship Coordinator, Associate Scientist III, National Center for Atmospheric Research
Douglas L. Varner, Assistant Dean for Information Management / Chief Biomedical Informationist, Georgetown University Medical Center
Together with the Editorial Board, we’ll be working on adding new templates to the tool over the coming months. If you have suggestions for funders to be added please let us know by emailing email@example.com.
Summary of DMPTool Template Updates
All NSF templates were updated to include links to the updated 2020 Proposal & Award Policies and Procedures Guide (2020 PAPPG). Additional updates are summarized below:
NSF-AGS: Atmospheric and Geospace Sciences
Updated link to new 2020 PAPPG
Edited question text
BCO-DMO NSF OCE: Biological and Chemical Oceanography
Updated link to new 2020 PAPPG
Updated questions & links
NSF-CISE: Computer and Information Science and Engineering
Updated link to 2020 PAPPG.
Added “Additional Guidance on Selecting or Evaluating a Repository” under “Plans for Archiving and Preservation”
Funder links added for Office of Science, and Energy Efficiency/Renewable Energy instructions
Department of Energy (DOE): Office of Science
Funder link added
Description updated with additional guidance
Institute of Museum and Library Services (IMLS)
Data Management Plans for IMLS are collected via the IMLS Digital Product Form. Originally the form was broken out into three templates within the DMPTool, however we have streamlined the process and combined them into one, comprehensive, template to more accurately reflect current requirements.
National Aeronautics and Space Administration (NASA)
Updated text to match the wording of NASA’s description of an ideal DMP
Reformatted section 1 to make reading easier.
Deleted the compliance/reporting section. This is no longer part of the DMP template as it is related to annual reporting. This information was moved to an Overview phase description.
We’re very pleased to announce the release of several major new features for the DMPTool! This includes:
Integration with the Research Organization Registry (ROR) and Funder Registry (Fundref)
The ability to create conditional questions and set email notifications within DMP templates
Integration with Google Analytics for usage statistics
The ability to connect additional grant contributors (and their ORCIDs) to a plan
The release notes are available in the DMPTool GitHub and detailed descriptions are available below.
Research Organization and Funder Registry Integration
ROR is a registry of Persistent Identifiers (PIDs) for research organizations, which are defined as any organization that conducts, produces, manages, or touches research. ROR has generated identifiers for over 91,000 organizations so far. The Crossref Funder Registry (Fundref) is a registry of grant-giving organizations and has created over 20,000 identifiers so far. We now have 1,582 unique organizations matched with their RORs or Funder IDs within the DMPTool.
Utilizing these identifiers within a DMP is a key step towards a truly machine-actionable DMP (maDMP). Employing PIDs such as ROR and Fundref in DMPs facilitates the linking of people, grants, and organizations, and enables better tracking and discovery of research outputs by institution. These identifiers will be included in our upcoming maDMP JSON export feature, which is due to be released in late summer and is key in enabling maDMP interactions via API integrations.
Organizational administrators of the DMPTool may notice an increase in the number of users affiliated with your institution. As part of integrating with ROR and Fundref, we have connected 4,750 previously un-affiliated users with their host institution by matching email domains.
Conditional Questions and Email Notifications
DMPTool administrators that take advantage of the feature to create or customize templates will be excited to learn that you can now reduce the number of questions included in a customized template by skipping questions. For example, if a research project is not creating or using any sensitive data, you can now modify a template in order to skip questions related to special handling of sensitive data.
Additionally, the new feature includes the ability to set email notifications that are triggered if a user selects a specific answer. For example, you may want to create an alert for large data volumes.
Read more about utilizing these new features in our documentation or watch this video tutorial created by our DMPRoadmap colleagues at DMPOnline.
Two important things to note about creating conditions and email notifications:
1. If you are creating a new template, save all questions first and then set the conditions on them.
2. This feature only works on questions with structured answers including checkbox, drop downs or radio buttons. You can add a condition on a single option or a combination of responses.
There has also been interest in enabling questions to be displayed when the user answers a conditional question instead of hiding them (the current default). We are currently consulting with the community to better understand the use cases, functionality, and scope of technical work to add this feature. This will be released after we complete our current work migrating to Rails v5 (Summer 2020).
Users can now use Google Analytics to track web statistics for an organizational account within the DMPTool. Statistics retrieved by Google Analytics include: number of sessions, users, average session duration, and pageviews.
Users who are already using Google Analytics for tracking may want to add the DMPTool to their account. Connecting DMPTool to Google Analytics is a quick and easy process — simply copy the tracker code from your Google Analytics account and paste it into your Organizational Details page in the DMPTool and you’re good to go.
For further details about adding your DMPTool account to Google Analytics, please see our help documentation. Existing DMPTool Usage Statistics also remain accessible from within the DMPTool for all organizational administrators.
Support for Multiple Contributors
A new tab entitled “Contributors” is now visible within the Create Plan interface. Here users can list contributors to a grant, including their ORCIDs, and select a role for each individual. This feature utilizes the CRediT, Contributor Roles Taxonomy to describe each contributor’s specific contribution. Using ORCIDs and a controlled vocabulary for roles will facilitate the tracking of key people involved in the project. This will allow contributors to receive credit for their work and will enable other stakeholders involved in the project to identify the key individuals involved.
Project start/end dates
To support our machine-actionable DMP work, we have added project start and end dates to the project details page. Having these key project dates as part of the DMP is essential in triggering actions at the appropriate moment. For example, a project end data can trigger an action to notify key stakeholders, such as repository managers or storage administrators, at the end of the grant.
Together with our DMPRoadmap colleagues, we are currently upgrading our infrastructure to Rails 5. This is a substantial piece of development work that, although entirely on the backend and invisible to users, is essential to keeping our service running and adding additional requested features. We expect this development to be completed in July.
Following the Rails upgrade, work will continue on our maDMP initiative and we plan on pushing out a feature to mint DOIs for DMPs late this summer. Additional features we are developing simultaneously include: support for multiple datasets within a DMP, an updated API and the ability to export plans as JSON, and a new template builder to facilitate the creation of maDMP templates within the application. We’ll continue to update you here as development work progresses.
As always, feedback or questions are most welcome and can be sent directly to firstname.lastname@example.org.
The DMPTool, which as of February 2020 has supported 44,415 users and 266 participating institutions, currently maintains thirty-eight templates for twenty-two different federal and private funders. It is no secret that funder requirements and subsequent application and data management guidance change regularly and it is crucial that the DMPTool reflects these changes in real time to remain a high-integrity resource. Staying up to date with rapidly changing grant requirements and RDM best practices is no small task, however. There is no magic wand or automated system to keep the DMPTool in sync with current requirements. Then how does it happen? The key factor in the success of the DMPTool over the last 9 years has been and continues to be the contributions of and collaboration with the user community.
As the capabilities of the DMPTool expand and needs for it rise, we are currently calling for additional community members to contribute and to ensure its continued success. We’re therefore pleased to announce the formation of and the invitation to join the DMPTool Editorial Board. Our goal for the Board is formalize existing community involvement in the tool and to have representation across disciplines with varied areas of expertise, from a wide range of institutions, including librarians along the full career spectrum. Experience working with DMPs is desirable and we welcome applications from any individuals committed to supporting effective research data management.
Responsibilities for members of the Editorial Board include the following:
One year term of service (with the opportunity to extend if desired)
Short bi-monthly (or as needed) meetings
Individual ownership of specific funder templates, linked to your area of focus
Creation of new templates as needed
Provide suggestions for default guidance and best practices
Identification and publication of example DMPs to include in the tool
Estimated 1-4 hours of work a month to check for requirement updates from funders, reporting to the Board, and updating templates and guidance in the DMPTool
Joining the DMPTool Editorial Board presents an excellent opportunity to meet fellow research data management professionals, actively contribute to the community, help support a critical piece of open-source technology advancing research data management, and keep abreast of the larger changes in funding requirements and the larger funding ecosystem. Editorial Board members will work to ensure the tool provides current information about grant requirements and corresponding guidance.
We hope you will consider this invitation to contribute and apply! We have opened applications and responses are due Friday, March 13. All questions, comments, concerns, or advice are welcome: email@example.com. We look forward to hearing from you!
Our latest DMPTool release includes several exciting features and improvements, including a new API. The release highlights are outlined below, for a comprehensive listing please check our release notes for v2.1.4 and V2.1.3.
DMPTool administrators who have been granted tokens can now access statistical information about their organizational accounts and query plans created in the DMPTool via our new full text API. The API currently has 2 endpoints: Plans and Statistics.
The full text Plans API allows users to retrieve plans as a JSON file and filter by dates, specific templates, users and plans. This new API will be essential in our work with machine-actionable DMPs as it will enable the export of plans into other RDM systems and facilitate further integration with external applications.
The Statistics endpoint includes data regarding users, templates and plans. Users can retrieve information from this endpoint on queries such as: number of users who have joined your organization; number of plans created by your organization’s users; and metadata about all plans created by all users from your organization.
In order to use the API, permissions for each endpoint must be given to your organization and an API token must display on your ‘edit profile’ page. To request access to the API please contact us.
Please keep in mind that we will be updating the API to conform to the DMP Common Standard in Spring of 2020, so while the API is up and ready for use, we recommend holding off on building any integrations or applications around it until the updated version is released.
One Click Plan Creation
Users can now create a plan for a specific funder template from the Funder Requirements page instead of going through the create plan page. You can also retrieve a static URL to the plan that can be sent along to users, thus enabling them to go straight to the desired page. (A big thank you to DMPOPIDoR for contributing this new feature to our shared codebase.)
Building off several months of analysis, testing, and expert recommendations, the DMPRoadmap crew has been working towards making the DMPTool accessible for all users, including those with disabilities. Highlights of new accessibility features include: support for assistive technologies, improved visual cues and improvements to text magnification tools. A full list of all accessibility issues addressed in this release is available on our git repository.
Create departments within an organization
The new Department field enables administrative users to define specific schools or departments to the organization. Our partners at DMPOnline have made a short video demonstrating how to utilize this new feature.
The button to Request Feedback on a plan has been moved to its own tab in an effort to highlight this feature. If you have the ability to request feedback enabled for your organization, it will now appear after the Share tab when creating a plan. If you don’t have this feature enabled but are interested in learning more, please check our documentation or contact us for any questions.
This year promises to be a busy one for the development crew with many big features currently in the works, including machine actionable DMPs, improved usage dashboards, and Zenodo/RIO Journal integration. For a high level overview of our upcoming work for 2020 please check out our development roadmap.
The goal of our EAGER research project is to explore the potential of machine-actionable DMPs as a means to transform the DMPs from a compliance exercise based on static text documents into a key component of a networked research data management. This ecosystem will not only facilitate, but also improve the research process for all stakeholders.
We will be laying out the phases of work in the coming months and will continue to use this blog to keep the community informed of our progress, and to solicit your feedback and ideas.
Phase 1 Workplan
Phase 1 of of our research entails exploring the following three high level ideas:
How to optimize the Digital Object Identifiers (DOI) metadata schema for DMPs
How to best incorporate other Persistent identifiers (PIDs) into DMPs
The common data model for the creation of machine-actionable DMPs, produced by the RDA working group on DMP Common Standards, was recently released for community feedback. Our partners at the Digital Curation Center (DCC) have now implemented this model into the DMPRoadmap codebase. A big thank you to Sam Rust from DCC for his work on this! Those interested in learning more about the Common Standard in DMPRoadmap may want to view a recent webinar recording of Sam detailing this work. This was a fundamental step towards machine actionable DMPs, as it forms the foundation to enable information flow between DMPs and affiliated external systems in a standardized manner.
DOIs for DMPs
With our partners at the Digital Curation Center (DCC), we are working to incorporate the common standards into the shared DMPRoadmap codebase and our DMPTool development plans. As part of this work, we have partnered with DataCite to update their metadata schema to better support DMPs and to optimize a workflow for generating DOIs for DMPs. By relying on the DOI infrastructure, we will then be able to utilize the Event Data service from DataCite to record when assertions have been made on the DOI. More on the workflows surrounding this aspect of the project below.
DMPs and the PID graph
Projects such as Freya have been working to connect research outputs through a PID graph. A key question underpinning much of our work is how we can best leverage the PID graph (see Principle 5: Use PIDs and controlled vocabularies) within the DMP ecosystem. To connect DMPs to the larger PID ecosystem, our first phase will also include incorporating the following persistent identifiers into the DMP as a baseline for future work:
As discussed above, in Phase 1, we are building a system to mint DOIs for DMPs and creating a landing page for DMP DOIs to record updates to the DOI that occur over time. Although the system can be thought of as a giant API, pulling and pushing data from various sources, we are also building a landing page for these DOIs in order to visually demonstrate the types of connections made possible by tracking a research project over time from the point of DMP creation.
Below is a high level overview of this workflow and whiteboarding of its potential architecture. (For those that would like a more detailed view, please check out our GitHub).
maDMP system accepts common standard metadata from DMPTool (DMP Roadmap)
maDMP system sends that metadata to DataCite to mint a DOI (which it then returns to the DMPTool)
A landing page is generated for the DMP DOI
A separate harvester application queries outside APIs to check for assertions recorded against the DOI. For this phase of work we will work with the NSF awards API, and return any award information into the maDMP system.
The maDMP system then sends any award info returned to DataCite
Our goal is to leverage the work being done by the RDA Exposing DMP working group to help inform the privacy concerns of exposing certain types of assertions on this landing page.
Looking ahead, we plan to produce a basic prototype ready for testing and feedback by the end of October. I will be presenting on our work thus far at the upcoming RDA and CODATA meetings. During these meetings, I look forward to continuing our work with the RDA Common Standards Working Group (and to meeting many of those active in this space for the first time in-person)!
Once we establish the workflow to record assertions to a DMP DOI, our next phase of work will include pilot projects with domain-specific and institutional stakeholders to test the flow and integration of relevant information across services and systems. With these partners we plan to test how maDMPs can help track data management activities as they occur during the course of a grant project.
Finally, it’s important to note that all of our development work is being done in a test environment where we will continue to iterate for the next several months as we determine how best to deploy new features to the DMPTool and DMPRoadmap codebase.
Interested in contributing?
Lastly, we realize that maDMP is far from the most euphonious or creative name for this service (nor is our original idea of the DMPHub much better). We are open to any and all ideas for naming this work so if you have any ideas, however strange or off the wall, please do let us know. If we use your idea we promise to shower you with accolades for your denomination genius. Also, free stickers galore.
To review or contribute to the technical components of the project check out our GitHub. And most importantly, please send any and all feedback, questions, or ideas for names to firstname.lastname@example.org.
The common data model for the creation of machine-actionable DMPs, produced by the RDA working group on DMP Common Standards, was recently released for community feedback. With our partners at the Digital Curation Center (DCC), we are now actively incorporating this model into the DMPRoadmap codebase and our DMPTool development plans.
As part of our NSF EAGER grant, CDL has partnered with DataCite to explore how DOI infrastructure could enable the passing of information between RDM systems and supporting integration between various related systems. The initial phase of this work includes piloting workflows that efficiently move information between stakeholders, systems, and researcher workflows. Our goal is a working prototype developed by mid-October of this year. This is exciting as it represents the first step towards realizing our long-term goal of machine-actionable DMPs as critical infrastructure in the research process.
Another key goal for the coming months is to re-engage the DMPTool community via regular virtual user meetings, the re-creation of advisory boards, and most importantly hearing more from you about how the DMPTool is working (or not) and gathering feedback on future developments and ideas for new areas of making the DMPTool even more useful and vital. In the coming weeks, we will reach out with more details on the above. However, in the meantime, please feel free to contact me and introduce yourself!
I am interested in hearing any input, questions, comments or feedback. You can contact me directly at email@example.com.
Today, August 19, marks my seventh week as the new DMPTool Product Manager, and the latest Research Data Specialist to join the team at UC3. I’m thrilled to be joining such an active and engaged community of professionals committed to the principles of open science, open infrastructure, and public access to research and knowledge.
As I take the reins from Stephanie Simms, I’m grateful for her instrumental work in rethinking the capabilities of a data management plan (DMP) and her work with the community in developing the conceptual frameworks and use cases for the creation of machine-actionable DMPs. As I’ve learned more in these first weeks, I am invigorated by the plans for machine-actionable DMPs, seeing the critical role they could play in research and data sharing and the exciting potential for expanding their dynamism, utility, and centrality to research data workflows.
Prior to joining CDL, I was a Program Manager in the Web Archiving and Data Services group at the Internet Archive. At the Internet Archive, I managed domain-scale web harvesting, dataset and indexing services, and computational access to large-scale data for researchers. I bring a strong background in product management for services used by a global set of partners and a commitment to community-driven feature development and system integrations.
I’m looking forward to expanding upon this experience as I begin work on furthering development of the DMPTool, keeping in step with what can be useful to and benefit the community, and advancing our shared commitment to open access to research and research data.
Please feel free to reach out and introduce yourself! I’m eager to receive any feedback or questions. You can reach me directly at firstname.lastname@example.org.