Harvard Data Science Review

Academic Publishingmit.edu

Harvard Data Science Review is a non-profit open-access academic publisher founded in 2019 that produces peer-reviewed articles, research, and multimedia content on data science, hosted on the MIT Press platform and serving the global research community.

Company typePrivate
Founded1865
HeadquartersAllston, United States
Headcount1–10
GTM typeB2C
OfferingDigital Commerce or Content

What Harvard Data Science Review does

Harvard Data Science Review (HDSR) is a non-profit academic publisher founded in 2019 and headquartered in Allston, Massachusetts. The organization publishes open-access articles, research papers, and multimedia content focused on the field of data science, serving a global audience of researchers, practitioners, and educators. It operates with a small editorial team of 1-10 employees and is hosted on the MIT Press digital publishing platform (hdsr.mitpress.mit.edu), positioning it within the institutional ecosystem of one of the leading academic publishers in science and technology.

HDSR's core product is editorial — peer-reviewed open-access content rather than software or technology infrastructure. Its distribution model is built on the MIT Press platform, which provides indexing, DOI assignment, discoverability, and journal infrastructure. The business model is non-commercial in the conventional sense: as a non-profit open-access publisher, HDSR does not rely on subscription paywalls or article processing charges as primary revenue drivers. Instead, it depends on institutional backing, editorial partnerships, and the broader Harvard/MIT academic ecosystem for operational sustainability.

The firm's value proposition centers on providing a high-credibility, open-access venue for data science scholarship, leveraging the reputational equity of the Harvard and MIT Press brands. Its small scale and nonprofit status indicate a mission-driven organization rather than a venture-backed growth entity. Note: a significant portion of the scraped data pertains to MIT's Parking & Transportation operations and is not relevant to HDSR; the above description is grounded in the firmographic record.

Harvard Data Science Review firmographics

Firmographics

Name: Harvard Data Science Review
Legal name: Massachusetts Institute of Technology
Website: https://mit.edu
Company type: Private
Founded year: 1865
Operating status: Operating
Headcount range: 1–10 employees
Short description: Harvard Data Science Review is a non-profit open-access academic publisher founded in 2019 that produces peer-reviewed articles, research, and multimedia content on data science, hosted on the MIT Press platform and serving the global research community.
Ownership category
akta.pro rank

Harvard Data Science Review industry classification

Industry

Product category: Academic Publishing
NAICS: Research and Development in the Social Sciences and Humanities (54172)
akta.pro primary industry: Academic & Scholarly Journals Publishing (Peer-Reviewed) (MPAJABAC)
akta.pro secondary industries: Social Sciences Scholarly Publishing (EDAGAFAD), Conference Proceedings & Research Reports Publishing (EDAGAFAL)

Keywords

Academic publishing
Open access journal
Data science research
Scholarly articles
Multimedia content

Where Harvard Data Science Review is headquartered

Location

Headquarters

HQ city: Allston
HQ country: United States
HQ region: North America

Offices5 records

Markets served

Harvard Data Science Review business model

Business model

GTM type: B2C
Offering type: Digital Commerce or Content
Cost components: Personnel, Operations, Technology or R&D, Others

Revenue model

Parking Fees: MIT generates revenue through daily parking fees ($11/day for employee and student parking), monthly fees ($174/month for off-campus and campus residents), and annual caps on parking costs. Additional revenue comes from visitor passes and scratch cards ($34/day).
Department Vehicle Parking: Annual parking accounts for department-owned vehicles at $2,509/year.

Pricing tiers

Model	Billing	Price
Usage-based	Pay-as-you-go	Employee Daily and Graduate Employee Daily parking
Subscription	Monthly	Employee Off-Campus parking
Usage-based	Pay-as-you-go	Emeritus Faculty parking
Usage-based	Pay-as-you-go	Student Commuter parking
Subscription	Monthly	Campus Resident parking
Subscription	Monthly	Carpool parking
Usage-based	Monthly	Affiliate parking
Subscription	Annual	Department Vehicles
Usage-based	Pay-as-you-go	Visitor passes and scratch cards
Other	Monthly	MBTA Commuter Rail discount
Other	Monthly	Private Transit Subsidy
Other	Monthly	MBTA Station Parking Subsidy

Go-to-market motion1 record

Distribution channels5 records

Marketing channels6 records

Harvard Data Science Review product offering

Product offering

Core offering

Harvard Data Science Review is an open access academic journal that publishes peer-reviewed scholarly articles, research papers, and multimedia content focused on data science. The journal is hosted by MIT Press and made freely available online to readers, with editorial direction aligned with Harvard's academic mission.

Differentiator

Problem solved

Functional benefit

Products and services

Harvard Data Science Review (HDSR) Journal Open access peer-reviewed academic journal publishing scholarly articles and research on data science, intended for researchers, students, and practitioners worldwide.
HDSR Multimedia Content Multimedia materials (such as podcasts and videos) accompanying the journal, expanding access to data science topics in formats beyond traditional articles.
HDSR Online Platform Digital publishing platform at hdsr.mitpress.mit.edu hosting journal articles and multimedia content for free public access.

Companies that use Harvard Data Science Review

Customer profile

Named customers4 records

Segments1 record

Ideal customer profiles2 records

Harvard Data Science Review technology and API

Technology

Technology focussed No

API detail

Has API: No
API docs
API detail

Core technology

AI maturity

App detail

Feature3 records

Harvard Data Science Review partnerships and signals

Strategic signal

Partnerships

Six partnerships are on record, tiered core and minor.

ZipcarcoreGTM or Marketing PartnerMIT hosts 12 Zipcars on campus and sponsors Zipcar memberships for staff and students. An MIT-sponsored member pays no application fee, no security deposit, and just a $35.00 annual fee. Zipcars can be used by the hour or day with insurance and gas included.
MBTA (Massachusetts Bay Transportation Authority)coreStrategic or Co-development PartnerMIT partners with MBTA to provide subsidized transit passes for students, faculty, and staff. Benefits-eligible Cambridge campus employees receive free subway and local bus access through Access MIT. MIT also subsidizes 50-70% of commuter rail costs.
Commute with Enterprise (Vanpool)minorStrategic or Co-development PartnerMIT partners with Enterprise to offer vanpool programs. MIT provides a $100/month subsidy per participant and pre-tax payroll deduction benefits for eligible employees.
Charles River Transportation Management Association (TMA)coreStrategic or Co-development PartnerMIT sponsors the Emergency Ride Home program run by Charles River TMA, which reimburses eligible employees for rideshare or taxi costs in case of emergency. The program is available to employees who commute via public transit, carpool, vanpool, bike, or walk at least three days per week.
BluebikesminorGTM or Marketing PartnerBoston's public bike share program with stations around MIT campus. MIT offers subsidized Bluebikes memberships for students and employees.
Private Transit Providers (Boston Express Bus, Greyhound, Peter Pan Bus Lines)minorChannel Partner/ Reseller/ DistributorMIT offers reimbursement for employees who use private transit options including Boston Express Bus, Greyhound, and Peter Pan Bus Lines, up to 50% of monthly commuting costs or $255 maximum.

Scale indicators6 records

Expansion highlights1 record

Harvard Data Science Review competitors and assessment

Company assessment

Direct peers

Journal of the Royal Statistical Society Series C: Long-running applied statistics journal publishing peer-reviewed methodology and data analysis papers — overlapping with HDSR's methodological data science remit.
Harvard Data Science Initiative: The institutional initiative that HDSR is closely affiliated with, producing research, events, and educational content in data science.
Journal of Machine Learning Research (JMLR): Open-access peer-reviewed journal covering machine learning and data-related research, with a similar open-access model and cross-disciplinary readership.
Nature Data Science: Nature's open-access journal dedicated to data science research, directly competing with HDSR for high-impact data science submissions across disciplines.
Data & Policy (Cambridge University Press): Open-access journal focused on data science applications to policy, sharing HDSR's interdisciplinary orientation and open-access publishing model.
Scientific Data (Nature): Peer-reviewed open-access journal for datasets and data descriptors, closely aligned with HDSR's data-centric, open-access mission.

Emerging players

arXiv: Open-access preprint repository widely used by the data science community; represents a distribution channel that competes with peer-reviewed journals for first-release priority.

Broad incumbents

Harvard Business Review: Harvard-affiliated publication with growing data and analytics coverage; shares the Harvard brand authority and reaches overlapping executive and academic audiences.
MIT Press (scholarly journals portfolio): HDSR's publishing partner and a broader publisher of academic journals and books; sets editorial standards and infrastructure that HDSR operates within.
PLOS ONE: Large-scale open-access multidisciplinary journal with significant data science and computational research content; broader in scope but competes for similar open-access submissions.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat2 records

Key risks4 records

Key highlights4 records

Customer concentration

Harvard Data Science Review financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Harvard Data Science Review leadership team

Management profile

Number of profiles

Profiles1 record

Harvard Data Science Review funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Harvard Data Science Review M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Harvard Data Science Review

What does Harvard Data Science Review do?

Is Harvard Data Science Review a public or private company?

Harvard Data Science Review is a private company. It is classified as nonprofit foundation owned and is currently operating.

When was Harvard Data Science Review founded?

Harvard Data Science Review was founded in 1865. It employs 1 to 10 people.

Where is Harvard Data Science Review based?

Harvard Data Science Review is headquartered in Allston, United States, in the North America region.

How does Harvard Data Science Review make money?

Two revenue lines are on record. Parking Fees are the primary driver. The others are department Vehicle Parking.

Who are Harvard Data Science Review's main competitors?

Direct peers on record are Journal of the Royal Statistical Society Series C, Harvard Data Science Initiative, Journal of Machine Learning Research (JMLR), Nature Data Science, Data & Policy (Cambridge University Press) and Scientific Data (Nature). arXiv is listed as an emerging player. Broad incumbents are Harvard Business Review, MIT Press (scholarly journals portfolio) and PLOS ONE.

Does Harvard Data Science Review have an API?

No public API is recorded for Harvard Data Science Review.

What industry is Harvard Data Science Review in?

Harvard Data Science Review's product category is Academic Publishing. Its primary akta.pro industry code is MPAJABAC, Academic & Scholarly Journals Publishing (Peer-Reviewed), with a secondary code of EDAGAFAD, Social Sciences Scholarly Publishing. Its NAICS code is 54172.