Stakeholder Workshop on <<job/role>>

Discussion Leader: 

NIST Coordinators:

NIST Research Data Framework (RDaF)

This workshop is being recorded
Stakeholder Workshops Agenda

● Overview of the RDaF - NIST Coordinator (15 min)

● Discussion of relevant lifecycle stages/topics/subtopics - Discussion Leader (90 min)

● Wrap-Up 

• Summary of key points - Discussion Leader (10 min) 

• Next steps for the RDaF - NIST Coordinator (5 min)
Debbie Kaiser RDaF

Senior Advisor, ODI

Deputy Project Manager

Bonnie Carroll

Strategic Consultant

Steering Committee Chair

Robert Hanisch

Director, ODI

RDaF Project Manager

Alda Yuan

Physical Scientist, ODI

Implementation Lead

Andrea Medina-Smith 

Research Librarian, NIST

Information Coordinator

Eva Campo

RDA US

Participant Interactions

NIST Research Data 

Framework (RDaF) 

Team

Amy Thompson

Executive Assistant

CampoStella Research & 

Consulting, LLC
What is a Research Data Framework?

• A map of the research data space: who, what, where, why, 

when?

• A dynamic guide for the various stakeholders in research data 

to understand best practices for research data management 

and dissemination

• A resource for understanding costs, benefits, and risks 

associated with research data management

• A consensus document based on inputs and conversations 

amongst the stakeholders in research data

Why a Research Data Framework?

• Research data ecosystem is very complex!

• Lots of players, various funding models and sustainability plans

• How long should data be kept?

• How should data quality be assessed?

• How do we measure the value of research data?
RDaF Publication

https://doi.org/10.6028/NIST.SP.1500-18

Framework Core, v. 1.0

Six Research Data Lifecycle Stages

● Topics

● Subtopics

● Informative References

“A large spreadsheet” Published February 2021
PLAN Topics and Subtopics ver. 1.1

Topics Subtopics Topics Subtopics
RDaF Lifecycle Stages
Roles for Stakeholder Workshops 

• Academic Mid-Execs/Heads of Research

• AI Experts

• Budget/Cost Experts

• Curators

• Data/IT Leaders

• Data/Research Governance Leaders

• Funders

• Institute/Center/Program Directors

• Open Data Experts

• Professional Society/Trade Organization 

Leaders

• Professors

• Providers of Data Tools/Services/ 

Infrastructure

• Publishers

• Researchers

• Senior Executives

● These roles help RDaF users select the parts of the Framework Core that are most 

important for them

● The series of workshops will help the NIST team understand how these roles 

interact with one another in the context of the broad data ecosystem Return to Stages
RDaF Development Timeline

now

Based on Input 

from Stakeholder 

Workshops
RDaF Profiles

• Facilitate use of the RDaF by individuals in various job roles within an organization

• Serve as a checklist of lifecycle stages/topics/subtopics relevant to a job role with respect to 

research data and research data management

• NIST team will generate "Generic” Profiles as starting points using input from the workshops

• These “Generic” Profiles can be refined to fit an individual’s role(s)

Example of a partial profile for three different roles
Workshop Objectives 

• Help develop profiles for various roles to support the use of the Framework.

• Foster an open discussion to identify the most relevant research data lifecycle 

stages/topics/subtopics for <<job/role>>

• Work from the research lifecycle stages to topics to subtopics 

● In other words,

• What parts of the framework influence your job?

• What parts of the framework do you influence?

1 2 3

Are there any missing 

topics or subtopics? 

Are any misplaced?
Discussion on <<Job Role>>

Discussion Leader: 

NIST Coordinators: 

Contact Name Affiliation Title
• Introductions

• Name, job title, organization

• Which of the six Research Data Lifecycle Stages are relevant for your job role? 

Which do you have influence over?

• Based on the group’s priority Stages, select those to discuss in more detail

• Priority Stage 1

• Topics

• Subtopics for the group’s priority topics

• Priority Stage 2

• Topics

• Subtopics for the group’s priority topics

• Priority Stage 3 (time permitting)...

Discussion Agenda
Research Data Lifecycle Stages For your role as a 

<<job/role>>, with 

respect to research 

data and the 

management of 

research data:

• Which lifecycle 

stages are relevant? 

• Which stages 

influence your role?

• Which stages do you 

influence?

ENVISION: Review of the 

overall strategies and drivers 

of an organization’s research 

data program

PLAN: The tactical 

management 

positioning in an 

organization for 

effective research 

data management 

throughout the 

research data 

lifecycle

GENERATE/ACQUIRE: The 

generation of raw research 

data and/or the acquisition 

of research data by an 

organization

SHARE/USE/REUSE: How 

research data are 

disseminated, used, and 

reused within and outside 

an organization

PRESERVE/DISCARD: The 

end-of-use and end-of-life 

provisions for research data 

in an organization, including 

records management, 

archiving, and safe disposal

Next Steps

PROCESS/ANALYZE: The actions 

performed on generated or 

acquired research data to yield 

processed research data, and 

the research data stewardship 

functions performed by an 

organization

Other roles
ENVISION Lifecycle Stage

Data Governance—Strategic/Qualitative

• Identification of Goals and Roles

• Data vision and/or data policy

• Data management organization

• Organizational values

• Data management value proposition

• Data needs assessment

• Data quality

• Value of data (quantitative or qualitative)

• Organization intent regarding FAIR data

• Data end-use support

• Data stewardship

• Coordination and information sharing across 

an organization

Education and Workforce Development

• Workforce skills inventory

• HR’s role in data workforce development

• Data management training

• Workforce preparedness in new and 

advancing technologies, e.g., HPC, AI, ML, and 

computation services

• Promotional paths, continual training, and 

career development

Data Governance—Legal and 

Regulatory Compliance

• Data services and the beneficiaries

• Data privacy

• Data ethics

• Safety and security assurance

• Data inventory

• Risk assessment

• Risk mitigation and management

• Data sharing/licensing

• Social license for the use of data

• Jurisdiction for data storage

Community Engagement

• Stakeholder community(ies): internal 

and external

• Communication with stakeholder 

community(ies)

• Interactions with other organizations

• Cross-community engagement (across 

domains and sectors)

• Inclusivity in interactions

• Partners/Partnerships

Data Culture and Reward 

Structure

• Roles and responsibilities

• Value of data to organization and 

leadership

• Recognition of data management

• Value of data workers

• Promotion and tenure

• FAIR data principles

• Maintaining FAIR data

• Incentives and institutional credit 

for data sharing and reuse

• Disincentives for data sharing

• CARE*

Resources— Allocation and 

Sustainability

• Sources of funding

• Long-term funding

*Collective Benefit, 

Authority to Control, 

Responsibility, and Ethics
ENVISION: Topics

● Data Governance—

Strategic/Qualitative

● Data Governance—Legal and 

Regulatory Compliance 

● Community Engagement 

● Data Culture and Reward Structure

● Resources—Allocation and 

Sustainability

● Education and Workforce 

Development

Which topics are relevant to 

your job role or do you have 

influence over?

Are some topics more 

important than others?

Are any topics missing?

Return to 

ENVISION 

Main Page
ENVISION: Data Governance—Strategic/Qualitative 

Subtopics

• Identification of Goals and Roles

• Data vision and/or data policy

• Data management organization 

• Organizational values

• Data management value proposition

• Data needs assessment

• Data quality

• Value of data (quantitative or 

qualitative)

• Organization intent regarding FAIR data

• Data end-use support

• Data stewardship

• Coordination and information sharing 

across an organization

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

ENVISION 

Main Page
ENVISION: Data Governance—Legal and Regulatory 

Compliance Subtopics

• Data privacy 

• Data ethics 

• Safety and security assurance 

• Data inventory

• Risk assessment

• Risk mitigation and management

• Data sharing/licensing

• Social license for the use of data

• Jurisdiction for data storage

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

ENVISION 

Main Page
ENVISION: Community Engagement Subtopics

• Stakeholder community(ies): internal 

and external 

• Communication with stakeholder 

community(ies) 

• Interactions with other organizations

• Cross-community engagement (across 

domains and sectors)

• Inclusivity in interactions

• Partners/Partnerships

• Data services and the beneficiaries

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

ENVISION 

Main Page
ENVISION: Data Culture and Reward Structure 

Subtopics

• Roles and responsibilities

• Value of data to organization and 

leadership

• Recognition of data management

• Value of data workers 

• Promotion and tenure

• FAIR data principles

• Maintaining FAIR data

• Incentives and institutional credit for 

data sharing and reuse

• Disincentives for data sharing 

• CARE

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

ENVISION 

Main Page
ENVISION: Resources—Allocation and 

Sustainability Subtopics

• Sources of funding

• Long-term funding

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

ENVISION 

Main Page
ENVISION: Education and Workforce Development 

Subtopics

• Workforce skills inventory

• Human Resource’s role in data workforce 

development 

• Data management training 

• Workforce preparedness in new and 

advancing technologies, e.g., highperformance computing, AI, machine 

learning, and computation services

• Promotional paths, continual training, and 

career development

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

ENVISION 

Main Page
PLAN Lifecycle Stage (page 1)

Chain of Control (Custody of Data)

• Roles and responsibility

• Implementation authority

• Communication and coordination within 

an organization

• Documentation

• Provenance

Financial Aspects of Planning

• Decision-making tools to assess costs of data

• Cost-benefit analysis

• Cost breakdown by lifecycle stage

• Funding models for provisioning resources

• Funding sources

• Downstream lifecycle costs

Data Objects

• Data: quantitative and qualitative

• Software

• Models

• Observational Data

• Survey Data

• Documentation (text)

• Specimens (physical samples)

• Presentations

Data Management Planning

• Written data management plans 

(DMPs)

• Purpose/intent of research study

• Specification of data objects, 

metadata, analysis tools, and 

workflows throughout the lifecycle

• Lifecycle considerations: living 

documents with regular review or 

static proposals?

• Machine-readable DMPs

• Linkage of DMPs to other 

administrative records

• Data organization (e.g., database, 

repository) to facilitate future access

Data/Metadata Considerations

• Criteria for selection of data/metadata

• Nature of data/metadata required

• Intended extent of FAIRness 

• Methods to capture and store 

data/metadata

• Metadata schema

Data Architecture

• Design

• Data processing operations

• Data flows

• Data models

• LIMS

• Hosting and storage, cloud storage

• Configuration management

• Interoperability with other 

architectures

• Security

• Existing standards

Assessment

• Goals/definition of success

• Metrics or metrics structure, tracking 

use and impact measures
PLAN Lifecycle Stage (page 2)

Hardware and Software 

Infrastructure 

• Anticipation of needs

• Tools to support data-related 

processes

• Models that connect infrastructure 

to data processes and workflow

• Interoperability

• Persistent instrument identifiers

• Sustainability of data vis-à-vis 

obsolete infrastructure

• Security and privacy considerations

Research Data Standards 

• Needs for standards

• Criteria: general vs. domain-specific 

standards

• Sources of standards/guidelines for 

data/metadata

• Data quality standards

• De facto standards, conventions 

(community-based)

FAIR

• Identification of 

methods/guidelines vis-a-vis FAIR 

principles

• Organizational support for making 

data FAIR

Access Control Associated with 

Data Sensitivity

• Ease of maintenance and 

implementation of records

• Limited disclosure (e.g., IP)

• Licensing data for reuse

Communication and Outreach

• Methods to share data/metadata

• Promotion of data to communities 

of interest

• Requests for additional data from 

community
PLAN: Topics

● Chain of Control (Custody of Data)

● Financial Aspects of Planning

● Data Management Planning

● Data Objects

● Data Architecture

● Data/Metadata Considerations

● FAIR

● Research Data Standards 

● Hardware and Software Infrastructure 

● Assessment

● Communication and Outreach

● Access Control Associated with Data 

Sensitivity

Which topics are relevant to 

your job role or do you have 

influence over?

Are some topics more 

important than others?

Are any topics missing?

Return to 

PLAN

Main Page
PLAN: Chain of Control (Custody of Data) Subtopics

● Roles and responsibility

● Implementation authority 

● Communication and coordination within 

an organization

● Documentation

● Provenance

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Financial Aspects of Planning Subtopics

● Decision-making tools to assess costs of 

data

● Cost-benefit analysis

● Cost breakdown by lifecycle stage

● Funding models for provisioning resources

● Funding sources

● Downstream lifecycle costs

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Data Management Planning Subtopics

● Written data management plans (DMPs)

● Purpose/intent of research study

● Specification of data objects, metadata, 

analysis tools, and workflows throughout 

the lifecycle

● Lifecycle considerations: living documents 

with regular review or static proposals?

● Machine-readable DMPs

● Linkage of DMPs to other administrative 

records

● Data organization (e.g., database, 

repository) to facilitate future access

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Data Objects Subtopics

● Data: quantitative and qualitative

● Software

● Models

● Observational Data

● Survey Data

● Documentation (text)

● Specimens (physical samples)

● Presentations

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Data Architecture Subtopics

● Design

● Data processing operations

● Data flows

● Data models

● Laboratory Information Management 

Systems

● Hosting and storage, cloud storage

● Configuration management

● Interoperability with other architectures

● Security

● Existing standards

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Data/Metadata Considerations Subtopics

● Criteria for selection of data/metadata

● Nature of data/metadata required

● Intended extent of FAIRness 

● Methods to capture and store 

data/metadata

● Metadata schema

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: FAIR Subtopics

● Identification of methods/guidelines visà-vis FAIR principles

● Organizational support for making data 

FAIR

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Research Data Standards Subtopics

● Needs for standards

● Criteria: general vs. domain-specific 

standards

● Sources of standards/guidelines for 

data/metadata

● Data quality standards

● De facto standards/conventions 

(community-based)

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Hardware and Software Infrastructure Subtopics

● Anticipation of needs

● Tools to support data-related processes

● Models that connect infrastructure to 

data processes and workflow

● Interoperability

● Persistent instrument identifiers

● Sustainability of data vis-à-vis obsolete 

infrastructure

● Security and privacy considerations

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Assessment Subtopics

● Goals/definition of success

● Metrics or metrics structure, tracking use 

and impact measures

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Communication and Outreach Subtopics

● Methods to share data/metadata

● Promotion of data to communities of 

interest

● Requests for additional data from 

community

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
PLAN: Access Control Associated with Data Sensitivity 

Subtopics

● Ease of maintenance and implementation 

of records

● Limited disclosure (e.g., IP)

● Licensing data for reuse

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PLAN

Main Page
GENERATE/ACQUIRE Lifecycle Stage

Non-Computational Data/Metadata

• Source of object/subject

• Characteristics of object/subject

• Conditions of research study

• Instruments and other tools

• Methods and protocols

• Data/metadata capture methods

• Provenance and capture methods

• Reproducibility

Computational Data/Metadata

• Calculations, models, simulation

• Input data/metadata

• Output data/metadata

• Hardware

• Data/metadata capture methods

• Provenance and capture methods

• Verification/validation of output data

Critically Evaluated (CE) Data

• Infrastructure to determine data quality

• Single researcher dataset

• Aggregation of data evaluated by experts

• Uncertainty quantification

• Modeling based on CE data 

Types of Raw Data

• Measurements, including images, audio 

recordings, photos/videos

• Text files

• Computations, simulations

• Source code 

• Observational data

• Survey data

• Other

Sources of Data

• In-house generation by researchers

• Remote generation by researchers

• In-field generation by researchers

• User facility generation for researcher

Acquired Data/Metadata 

• Collaborators’ data

• Data in repositories

• Aggregated datasets from multiple 

sources

• Extraction of data from the literature

• Provenance

• Restrictions 

• Fees

• Usage agreements

FAIR Principles

• Data born FAIR

• Data made FAIR

• Not FAIR data, e.g., legacy

• Guidelines/methodologies to assure 

or attain each aspect F, A, I, R

• Provenance or verification process for 

FAIR-ness

Community-Based Standards

• Data format and file structure

• Metadata format and file structure

• Vocabulary and ontology

• Interoperability

• Standards development organizations 

vs. grass roots efforts

• General vs. domain-specific

Acquisition Software

• Electronic laboratory notebooks 

• Laboratory information management 

systems 

• Instrument control

• Open source vs. proprietary
GENERATE/ACQUIRE: Topics 

● Types of Raw Data

● Sources of Data

● Non-Computational Data/Metadata 

● Computational Data/Metadata

● Critically Evaluated (CE) Data

● Acquired Data/Metadata 

● FAIR Principles 

● Community-Based Standards

● Acquisition Software

Which topics are relevant to 

your job role or do you have 

influence over?

Are some topics more 

important than others?

Are any topics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Types of Raw Data Subtopics

● Measurements, including images, audio 

recordings, photos/videos

● Text files

● Computations, simulations

● Source code 

● Observational data

● Survey data

● Other

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Sources of Data Subtopics

● In-house generation by researchers

● Remote generation by researchers

● In-field generation by researchers

● User facility generation for researcher

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Non-Computational 

Data/Metadata Subtopics

● Source of object/subject

● Characteristics of object/subject

● Conditions of research study

● Instruments and other tools

● Methods and protocols

● Data/metadata capture methods

● Provenance and capture methods

● Reproducibility

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Computational Data/Metadata 

Subtopics

● Calculations, models, simulations

● Input data/metadata

● Output data/metadata

● Hardware

● Data/metadata capture methods

● Provenance and capture methods

● Verification/validation of output data

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Critically Evaluated (CE) Data 

Subtopics

● Infrastructure to determine data quality

● Single researcher dataset

● Aggregation of data evaluated by experts

● Uncertainty quantification

● Modeling based on CE data 

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Acquired Data/Metadata 

Subtopics

● Collaborators’ data

● Data in repositories

● Aggregated datasets from multiple 

sources

● Extraction of data from the literature

● Provenance

● Restrictions 

● Fees

● Usage agreements

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: FAIR Principles Subtopics

● Data born FAIR

● Data made FAIR

● Not FAIR data, e.g., legacy

● Guidelines/methodologies to assure or 

attain each aspect F, A, I, and R

● Provenance or verification process for 

FAIR-ness

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Community-Based Standards 

Subtopics

● Data format and file structure

● Metadata format and file structure

● Vocabulary and ontology

● Interoperability

● Standards development organizations vs. 

grass roots efforts

● General vs. domain-specific

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
GENERATE/ACQUIRE: Acquisition Software Subtopics

● Electronic laboratory notebooks 

● Laboratory information management 

systems 

● Instrument control

● Open source vs. proprietary

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

GENERATE/ACQUIRE

Main Page
PROCESS/ANALYZE Lifecycle Stage

Software

• Commercial and/or custom tool

• Open-source vs proprietary

• Capability of tools

• Data aggregation tools

• Surveying tools

• Statistical tools

• Calculation and analysis tools

• Database management tools

• Testing and validation tools

• Documentation

• Reproducibility and uncertainty 

quantification

• Versioning and maintenance

• Systems resilience and 

adaptability

• Source code repository

Types of Processed Data 

• Tables, spreadsheets

• Charts, graphs

• Maps, vectors, images

• Structured, e.g., hierarchical organization

• Evaluated datasets 

• Datasets from models and simulations

• Instrument outputs

• Dynamic data

Scientific Workflow Processes

• Workflow tools

• LIMS

• Laboratory notebooks, e.g., electronic 

paper

• Containerization

• Reusable workflow components

• Microservices

• Interactive development environments, 

e.g., Jupyter, Rstudio

• Data modeling and analytics

Data Processing Methods

• Manual

• Automated, autonomous

• Descriptive

• Diagnostic

• Predictive

• Prescriptive

Data Provenance

• Original authoritative copy

• Version identification

• Provenance of data derived from other data

• Provenance of scientific records across all 

the aggregated and differentiated outputs 

• Timestamping

• CRediT Taxonomy for all contributors

Metadata

• Types of metadata

• Responsible parties

• Specification of metadata standards

• Linked data structure

• Persistent identifiers (e.g., DOI, ORCID, 

ARK, ROR, PIDINST, Handles)
PROCESS/ANALYZE: Topics 

● Types of Processed Data 

● Data Processing Methods

● Data Provenance 

● Metadata

● Software 

● Scientific Workflow Processes

Which topics are relevant to 

your job role or do you have 

influence over?

Are some topics more 

important than others?

Are any topics missing?

Return to 

PROCESS/ANALYZE

Main Page
PROCESS/ANALYZE: Types of Processed Data Subtopics

● Tables, spreadsheets

● Charts, graphs

● Maps, vectors, images

● Structured, e.g., hierarchical organization

● Evaluated datasets 

● Datasets from models and simulations

● Instrument outputs

● Dynamic data

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PROCESS/ANALYZE

Main Page
PROCESS/ANALYZE: Data Processing Methods 

Subtopics

● Manual

● Automated, autonomous

● Descriptive

● Diagnostic

● Predictive

● Prescriptive

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PROCESS/ANALYZE

Main Page
PROCESS/ANALYZE: Data Provenance Subtopics

● Original authoritative copy

● Version identification

● Provenance of data derived from other 

data

● Provenance of scientific records across all 

the aggregated and differentiated outputs 

● Timestamping

● CRediT Taxonomy for all contributors

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PROCESS/ANALYZE

Main Page
PROCESS/ANALYZE: Metadata Subtopics

● Types of metadata

● Responsible parties

● Specification of metadata standards

● Linked data structures

● Persistent identifiers (e.g., DOI, ORCID, 

ARK, ROR, PIDINST, Handles)

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PROCESS/ANALYZE

Main Page
PROCESS/ANALYZE: Software Subtopics

● Commercial and/or custom tools

● Open-source vs proprietary

● Capability of tools

● Data aggregation tools

● Surveying tools

● Statistical tools

● Calculation and analysis tools

● Database management tools

● Testing and validation tools

● Documentation

● Reproducibility and uncertainty 

quantification

● Versioning and maintenance

● Systems resilience and adaptability

● Source code repository

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

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PROCESS/ANALYZE

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PROCESS/ANALYZE: Scientific Workflow Processes 

Subtopics

● Workflow tools

● Laboratory information management 

systems 

● Laboratory notebooks, e.g., electronic, 

paper

● Containerization

● Reusable workflow components

● Microservices

● Interactive development environments, 

e.g., Jupyter, RStudio

● Data modeling and analytics

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

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PROCESS/ANALYZE

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SHARE/USE/REUSE Lifecycle Stage

Data Architectures for Application 

and Use

• Extensibility across communities, 

including machine-based interactions

• Capturing insights from machine 

learning and use of these to improve 

datasets for future artificial 

intelligence applications

• Capturing data performance 

characteristics

• Location of data e.g., relative to 

instruments, in the cloud, transient 

copies 

New Applications and Analyses

• Technologies for use and analytics, 

e.g., artificial intelligence, machine 

learning

• Possible repurposing

Internal and External Data Access

• Internal access e.g., data generator

• External access

• Programmatic access aka through 

Smart API

• Data access vs. data visiting

• Economic constraints

Legal and Licenses

• Ownership of data

• Constraints and encouragement for data use

• Intellectual property rights/restrictions

• Usage agreements/terms/licenses and 

required permissions

• Terms of Service

• Data sharing agreements and licensing 

• Data citation 

Levels of Protection

• Unclassified but sensitive information 

e.g., de-identification, enclaves

• Security classification

• Protecting limited data/secure 

platforms/enclaves

• Data anonymization

Data Publishing

• Repositories

• Referencing data/digital objects from 

journal articles

• Supplementary material 

• Data linking

• Persistent identifiers

• Metadata

• Quality measures

• Peer review of data sets

Data Attribution

• Citation metrics

• Citation impact

• Citation of combined and derived datasets

• Provenance

• Author identity management

• Use of persistent identifiers

• Data accessibility statement

Data Inventory

• Formats and standards

• Catalog
SHARE/USE/REUSE : Topics 

● Data Publishing

● Data Attribution 

● Internal and External Data Access

● Legal and Licenses

● Levels of Protection

● Data Architectures for Application and 

Use

● New Applications and Analyses

● Data Inventory

Which topics are relevant to 

your job role or do you have 

influence over?

Are some topics more 

important than others?

Are any topics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: Data Publishing Subtopics

● Repositories

● Referencing data/digital objects from 

journal articles

● Supplementary material 

● Data linking

● Persistent identifiers

● Metadata

● Quality measures

● Peer review of datasets

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: Data Attribution Subtopics

● Citation metrics

● Citation impact

● Citation of combined and derived 

datasets

● Provenance

● Author identity management

● Use of persistent identifiers

● Data accessibility statement

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: Internal and External Data Access 

Subtopics

● Internal access, e.g., data generator

● External access

● Programmatic access, e.g., through Smart 

APIs (application programming interfaces)

● Data access vs. data visiting

● Economic constraints

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: Legal and Licenses Subtopics

● Ownership of data

● Constraints and encouragement for data 

use

● Intellectual property rights/restrictions

● Usage agreements/terms/licenses and 

required permissions

● Terms of Service

● Data sharing agreements and licensing 

● Data citation 

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: Levels of Protection Subtopics

● Unclassified but sensitive information, 

e.g. de-identification, enclaves

● Security classification

● Protecting limited data/secure 

platforms/enclaves

● Data anonymization

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: Data Architectures for Application 

and Use Subtopics

● Extensibility across communities, 

including machine-based interactions

● Capturing insights from machine learning 

and use of these to improve datasets for 

future artificial intelligence applications

● Capturing data performance 

characteristics

● Location of data, e.g., relative to 

instruments, in the cloud, transient copies 

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: New Applications and Analyses 

Subtopics

● Technologies for use and analytics, e.g., 

artificial intelligence, machine learning

● Possible repurposing

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
SHARE/USE/REUSE: Data Inventory Subtopics

● Formats and standards

● Catalogs Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

SHARE/USE/REUSE

Main Page
PRESERVE/DISCARD Lifecycle Stage

Criteria for Preservation

• Use

• Impact

• Value

• Uniqueness

• Cost

• Provenance

• Legal and regulatory

Data Sustainability

• Data longevity and support

• Orphan datasets

Storage and Preservation of Data

• Media to store and preserve data

• Data back-up

• Data repositories

• Ability to do advanced searches

• File Integrity

• Data Recovery

Retention and Disposition Schedules

• Technical decisions (Data archiving)

• Administrative/policy decisions

• Deaccessioning/End-of-life

• End-of-life special considerations

• Recognition of removed data (tombstone)

Moving Data from One Service to 

Another across Organizations 

• Roles and responsibilities 

• Moving data from one agency to another

• Registration of repositories: roles and 

responsibilities

• Disciplinary archives
PRESERVE/DISCARD: Topics 

● Criteria for Preservation 

● Data Sustainability

● Storage and Preservation of Data

● Moving Data from One Service to Another 

across Organizations 

● Retention and Disposition Schedules

Which topics are relevant to 

your job role or do you have 

influence over?

Are some topics more 

important than others?

Are any topics missing?

Return to 

PRESERVE/DISCARD

Main Page
PRESERVE/DISCARD: Criteria for Preservation Subtopics

● Use

● Impact

● Value

● Uniqueness

● Cost

● Provenance

● Legal and regulatory

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PRESERVE/DISCARD

Main Page
PRESERVE/DISCARD: Data Sustainability Subtopics

● Data longevity and support 

● Orphan datasets Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PRESERVE/DISCARD

Main Page
PRESERVE/DISCARD: Storage and Preservation of Data 

Subtopics

● Media to store and preserve data

● Data back-up

● Data repositories

● Ability to do advanced searches

● File integrity

● Data recovery

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PRESERVE/DISCARD

Main Page
PRESERVE/DISCARD: Moving Data from One Service to 

Another across Organizations Subtopics

● Roles and responsibilities 

● Moving data from one agency to another 

agency

● Registration of repositories: roles and 

responsibilities

● Disciplinary archives

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PRESERVE/DISCARD

Main Page
PRESERVE/DISCARD: Retention and Disposition 

Schedules Subtopics

● Technical decisions (data archiving)

● Administrative/policy decisions

● Deaccessioning/End-of-life

● End-of-life special considerations 

● Recognition of removed data (tombstone)

Which subtopics are relevant 

to your job role or do you 

have influence over?

Are some subtopics more 

important than others?

Are any subtopics missing?

Return to 

PRESERVE/DISCARD

Main Page
Next Steps

● Based on feedback from this workshop, the NIST team will develop a generic profile 

which will serve as a checklist of the subtopics that a person in this role should be 

aware of in conducting their job

● These generic profiles will serve as starting points for individuals seeking to customize 

the framework. If you are interested in going through the process of defining a 

customized profile for yourself, we would welcome that input and any comments you 

have about the process of doing a personalized profile.

● The NIST team may interview you, other individuals, or small groups to get more input 

on profiles. If you have comments in the meantime, please contact us at 

rdaf@nist.gov

● Updates will also be made to the entire framework document with a interim version 

1.5 to be released in late 2022/early 2023 for public comment 

● Comments may be incorporated in version 2.0 of the framework to be released in 

spring 2023

Thanks for your invaluable participation!