2. Published by Ubiquity Press OPEN ACCESS AND DATA
MANAGEMENT
3. Be compliant Policies governing data Be responsible
Responsible Conduct of Research Be transparent Support published
research Be acknowledged Increase in citations WHY MANAGE YOUR
DATA?
4. Creative Womens Circle
5. Transparency Data audited Accountability Innovation Data
reuse for new research Curration, preservation & analysis
Efficiency Avoid repeating studies & mistakes Impact Visibility
& more citations WHY SHARE YOUR DATA?
6. WHAT POLICIES SHOULD YOU BE FOLLOWING? Funder Polices NIH
Data Sharing Policy HHMI Policy for the Sharing of
Publication-related Materials, Data, and Software NSF Data
Management Plan Requirement
7. Publisher Policies PLOS Sharing of Data, Materials, and
Software Journal Policies Science: All data necessary to understand
the paper must be made available to any reader in an approved
public database or as supplemental materials WHAT POLICIES SHOULD
YOU BE FOLLOWING?
8. UMass Medical Polices Data and Computing Standards IRB
Standard Operating Procedures WHAT POLICIES SHOULD YOU BE
FOLLOWING?
9. NIH Genomic Data Sharing Policy Requires funding
applications and proposals and Institutional Certification NEW NIH
POLICY BEGINNING JANUARY 2015
http://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html
Applies to all NIH-funded research that generates large-scale human
or non- human genomic data, as well as the use of those data for
subsequent research.
10. Research data management describes the managing, sharing,
and archiving of research data to make it more accessible to the
broader research community. Data Management Plans are required for
funding and ensure that data will be properly documented and made
available.Xpedivent Technologies DATA MANAGEMENT
11. Data Management Plans can help you: Follow policies from
funding agencies, institutions & publishers Prepare for use of
standard data formats & file naming conventions Understand data
attribution & data citation USE DMPS TO HELP ENSURE POLICIES
FOR ACCESS AND SHARING
12. Datasets are a significant part of the scholarly record and
are being published more and more frequently....They need to be
integrated into the scholarly information system so that authors,
readers and librarians can use, find and manage them as easily as
they do working papers, journal articles and books. Toby Green,
Head of Publishing, OECD (2009) Agreeing on a naming convention
will help to provide consistency, which will make it easier to find
and correctly identify your files, prevent version control problems
when working on files collaboratively, and generally prevent errors
in research. Organizing your files carefully will save you time and
frustration and prevent duplication or errors by helping you and
your colleagues find what you need when you need it.
DSpace@Cambridge (2008) library.gatech.edu library.gatech.edu
13. Backup, backup, backup Think of what it would take to
reproduce your data. To make sure you don't lose it, strive to have
three copiesthe original master file, a local backup (e.g., on an
external hard drive), and an external backup (e.g., on a networked
drive or on a web-based storage service). Organize your data. Plan
the directory structure and file naming conventions before creating
your data, taking into consideration the potential need to track
versions of data sets and documents. Follow any existing
project-specific conventions or disciplinary standards or best
practices. Document your data. Data documentation, also known as
metadata, will help you use and understand your research data into
the future. If you plan to share your data it will also help others
find, use, and properly cite it. At a minimum, create a readme.txt
file that includes basic documentation such as title, creator,
identifier, rights/access information, dates, location,
methodology, etc. Three Things You Can Do Today to Help Manage Your
Data: 1 2 3
14. DATA MANAGEMENT PLAN RESOURCES The Digital Curation Centre
(DCC) is a world-leading centre of expertise in digital information
curation with a focus on building capacity, capability and skills
for research data management across the UK's higher education
research community. The Digital Curation Centre provides expert
advice and practical help to anyone in UK higher education and
research wanting to store, manage, protect and share digital
research data.
15. Data Observation Network for Earth (DataONE) is the
foundation of new innovative environmental science through a
distributed framework and sustainable cyberinfrastructure that
meets the needs of science and society for open, persistent,
robust, and secure access to well-described and easily discovered
Earth observational data. Supported by the U.S. National Science
Foundation as one of the initial DataNets, DataONE will ensure the
preservation, access, use and reuse of multi- scale,
multi-discipline, and multi-national science data via three primary
cyberinfrastucture elements and a broad education and outreach
program. DATA MANAGEMENT PLAN RESOURCES
16. The DMPTool provides detailed guidance and links to general
and institutional resources and walks a researcher through the
process of generating a comprehensive plan tailored to specific DMP
requirements. Create, review, and share data management plans that
meet institutional and funder requirements. DATA MANAGEMENT PLAN
RESOURCES
17. MANTRA is a free, online non-assessed course with
guidelines to help you understand and reflect on how to manage the
data you collect throughout your research. The course is
particularly appropriate for those who work with digital data.
Through a series of interactive online units you will learn about
terminology, key concepts, and best practice in data management.
DATA MANAGEMENT PLAN RESOURCES
18. Instructional tool for teaching data management best
practices to undergraduates, graduate students, and researchers in
the health sciences, sciences, and engineering disciplines. Each
module aligns with the National Science Foundations data management
plan recommendations and addresses universal data management
challenges. NECDMC is designed to address present and future
researchers data management learning needs. New England
Collaborative Data Management Curriculum This curriculum was
coordinated by the UMass Medical School Lamar Soutter Library.
http://library.umassmed.edu/necdmc
19. New England Collaborative Data Management Curriculum
20. Get Help With: Designing your study Writing statistical
methods sections for funding applications Providing sample size and
power calculations Collecting and manage your data Advising you on
resources available Analyzing your study Preparing reports and
publications The Quantitative Methods Core, within the Division of
Biostatistics and Health Sciences Research in the Department of
Quantitative Health Sciences, was founded to provide University of
Massachusetts Medical School investigators with clinical research
support in biostatistics, experimental design, and data management.
QUANTITATIVE METHODS CORE
21. HPCC Advanced computation can be conducted using the UMMS
High Performance Computing Cluster MICARD UMass Medical's
implementation of i2b2, the NCBC's informatics platform for
clinical research. Available to qualified investigators R Drives
Networked space for file storage, sharing, and building a web
presence. Disc space is available to institutional work groups in
100Gb increments REDCap A secure system for designing and managing
web-based surveys and databases STATS server IT provides access
through licensing agreements to several statistical analysis
software packages, such as SPSS and SAS IT manages several research
computing service options for the UMMS community IT Research
Computing Services
22. doi:10.1371/journal.pbio.1001779.g001
23. UMASS RESOURCES eScholarship@UMMS is a digital repository
offering worldwide access to the research and scholarly work of the
University of Massachusetts Medical School community. The goal is
to bring together the University's scholarly output, in full text
whenever possible, in order to enhance its visibility and
accessibility. eScholarship@UMMS is a service of the Lamar Soutter
Library.
24. Research Computing and Information Services UMASS
RESOURCES
25. 1. Transparency in experimental methodology, observation,
and collection of data 2. Public availability and reusability of
scientific data 3. Public accessibility and transparency of
scientific communication 4. Using web-based tools to facilitate
scientific collaboration OPEN SCIENCE GOALS
26. Increase your research impact Making your data available to
other researchers can impact discovery and relevance of your
research. Save time Planning ahead for your data management needs
will save you time and resources. Preserve your data Depositing
your data in a repository safeguards your investment of time and
resources while preserving your research contribution for you and
others to use. WHY SHARE YOUR DATA?
27. Maintain data integrity Managing and documenting your data
throughout its life cycle allows you and others to understand and
use your data. Meet grant requirements Many funding agencies now
require that researchers deposit data collected as part of a
research project. Promote new discoveries Sharing your data with
other researchers can lead to new and unanticipated discoveries and
provide research material for those with little or no funding.
Support open access Be a catalyst for research and discovery. Show
your support for open access by sharing your data.
28. Open Data Collections plos.org
29. Digital repository offering access to research and
scholarly work of the UMMS community. The goal is to enhance
visibility and accessibility. http://escholarship.umassmed.edu
30. The Zebrafish Model Organism Database used to be the
community database resource and facilitate the use of zebrafish as
a model for humans. http://zfin.org
31. Project at the University of Pittsburgh to advance the
availability and use of public health data for science and policy
making. https://www.tycho.pitt.edu
32. Curated general-purpose repository that makes the data
underlying scientific publications discoverable, freely reusable,
and citable. http://datadryad.org
33. "Good data management is fundamental for high quality
research data and research excellence. Data management covers all
aspects of handling, organizing, documenting and enhancing research
data. It is particularly important for facilitating data sharing,
ensuring the sustainability and accessibility of data in the
long-term, and allowing data to be re-used for future science."
From the UK Data Archive Resource Getting Started
http://www.data-archive.ac.uk/create-manage/planning-for-sharing/getting-started