การจดการขอมลการวจย (Research Data Management) : กระบวนการทจ าเปนตอการสรางสรรคความรและนวตกรรม

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ขอมลการวจย (Research data)

“Recorded factual material commonly accepted in the scientific community as necessary to document and support research findings”

National Institutes of Healthhttp://grants.nih.gov/grants/policy/data_sharing/data_sharing_guidance.htm#data

ขอมลการวจย (Research data)“data will be determined by the community of interest through the process of peer review and program management. This may include, but is not limited to: data, publications, samples, physical collections, software and models.”

National Science Foundation

http://www.nsf.gov/bfa/dias/policy/dmpfaqs.jsp#1

ขอมลการวจย (Research data)“materials generated or collected during the course of conducting research.”

National Endowment for the Humanities

http://www.neh.gov/files/grants/data_management_plans_2015.pdf

Humanities and arts data

• Texts (reports, articles, etc.)

• Citations, Annotation, Bibliographic information

• Photographs

• Audio or video files

• Artefacts

• Software code

• Algorithms

• Digital tools

• Documentation

• Databases

• Geospatial coordinates

• etc.

Social Sciences data

• Texts (reports, articles, etc.)

• Survey response

• Interviews and focus groups

• Audio or video files

• Maps and geospatial data

• Codebooks

• Primary sources

• Websites

• Archives and records

• Artefacts

• etc.

Science and Technology

• Texts (reports, articles, etc.)

• Specimens

• Samples

• Software code

• Algorithms

• Digital tools

• Documentation

• Databases

• etc.

Research data

Various forms

Physical and digital formats

Various definitions and wide scope of research data are based on the research community in different disciplines.

Why mange research data?

คนหาขอมลทเกยวของไดงายและรวดเรวขน ขจดปญหาการซ าซอนของขอมล ปองกนขอมลส าหรบการใขงานในอนาคต แบงปนขอมลการวจยสะดวกขน และใชประโยชนไดมากขน สนองตอบ / สอดคลองกบขอก าหนดของแหลงทนวจยและองคกรทสงกด

Data management

“it is part of a researcher’s life, and timely planning how data will be captured, collected, used, managed, stored, sustainably archived, and disseminated is of the essence.”

OpenAIRE 2016, p.2

https://www.openaire.eu/briefpaper-rdm-infonoads

FAIR Data Principleshttps://www.force11.org/group/fairgroup/fairprinciples

Findable

Accessible

Interoperable

Reusable

Research data lifecyclehttp://www.data-archive.ac.uk/create-manage/life-cycle

Creating data

Processing data

Analyzing data

Preserving data

Giving access to data

Re-using data

Creating data: design research, plandata management, plan consent forsharing, locate existing data, collectdata, capture and create metadata

Processing data: enter data, digitize, transcribe, translate; check, validate, clean data; anonymize data where necessary; describe data; manage and store data

Analyzing data: interpret data; derive data; produce research outputs; author publications; and prepare data for preservation.

Preserving data: migrate data to best format; migrate data to suitable medium; back-up and store data; create metadata and documentation; and archive data

Giving access to data: distribute data; share data; control access; establish copyright; promote data.

Re-using data: follow-up research; new research; undertake research reviews; scrutinize findings; and teach and learn

Data Management PlanA valuable instrument for defining up front what data and associated metadata and tools will be used, delivered and possible shared in a project.

- Must be launched within the first 6 months of the project.

- a living document

https://www.openaire.eu/briefpaper-rdm-infonoads

https://www.dataone.org/sites/all/documents/DataONE_BP_Primer_020212.pdf

Plan

Collect

Assure

Describe

Preserve

Discover

Integrate

Analyze

Data Life Cycle

Common Issues in Data Management Plans

Description of data to be collected

Standards and methodologies for data collection and management

Ethics and intellectual property

Data sharing and access

Strategies for long-term accessibility

Data organizationDesign a data organization for the project

◦ Folder structure◦ File naming convention

◦ Yyyymmdd

◦ No symbol

◦ Traceable file names

◦ Be careful of file versions

Structured and consistent way with appropriate metadata Resource Data Alliance (RDA) Metadata Standards Directory Working

Group http://rd-alliance.github.io/metadata-directory/standards/

by Beatriz Ramirez for her research at Wageningen University.http://www.wageningenur.nl/en/Expertise-Services/Data-Management-Support-Hub/Browse-by-Subject/Organising-files-and-folders.htm

How to share research data Data center, data archive, data repository, or data bank re3data.org

figshare

Journal publishing

Institutional repository

The project/ institutional website

A peer-to-peer informal communication among researchers

Stakeholders and their roles in RDM

• Designing RDM plans

• Attaching RDM with research grant proposals

• Managing research data at each stage

Researchers

• Providing guidelines and tools on RDM

• Providing and investing in data infrastructure

• Raising data awareness

• Encouraging good data practices

Research funders

• Raising data awareness

• Enforcing data policies• Mechanisms and services for storage, backup, registration, deposit and retention of research data assets

Institutions

• Training,

• Support

• Advice

• Guidelines

• Templates for RDM + RDM plans.

• Developing and maintaining research data repositories/IRs

Libraries

http://www.dcc.ac.uk/sites/default/files/documents/RDMF/RDMF2/coreSkillsDiagram.gif

‘Collaborative research data management is a labor-intensive process, but offers considerable benefits for the entire research community.’