University and School Data Recovery: Theses, Research Data, and Student Information Systems

Education is one of the sectors most dependent on digital data. On a university campus, terabytes of academic content are produced every day: graduate theses, research laboratory measurements, lecture recordings, student grades, digital library collections, and faculty publications. In a K12 school, the systems process class records, exam results, parent contact details, e-Okul synchronizations, and special categories of personal data such as health reports. Losing this data has consequences that are not just operational; it affects academic careers and carries legal weight. When a doctoral student's three years of experimental data, a researcher's publication drafts, or a school's parent communication archive disappears, getting it back is far from easy.

At DSET, working from our location in Hacettepe Teknokent, Ankara, we provide data recovery services to academic institutions and schools across Turkey, starting with the large universities in Ankara. We understand just how unforgiving the academic calendar can be, and what it means to have a disk fail one week before a thesis defense. In this article, we look concretely at the data recovery needs of the education sector, the most common cases we encounter, the legal obligations under the KVKK and YOK frameworks, and preventive backup strategies. For the general technical workflow, we recommend our 2026 Turkey data recovery guide as a complementary resource.

Mapping Digital Assets at a University

A university's data inventory is far larger than most people assume. On one side are the systems managed by the IT Department; on the other are the devices scattered across faculty and department laboratories. Data recovery requests almost always come from that second, scattered group.

Student Information System (SIS): Course registration, grade entry, transcripts, and graduation processing. It runs on enterprise SQL Server or Oracle databases. It is usually covered by central backups, but during end-of-term peaks, disks fill up and accidental deletions occur.

Faculty publication and thesis archives: Most academics do their active work on their own PC or laptop. Manuscripts under peer review, conference papers not yet presented, and data sets accumulated over years may all sit on a single disk. This falls outside the scope of institutional backups.

Research laboratory data: Genome sequencing outputs, confocal microscope images, physics experiment logs, electron microscope scan files. A single experiment can generate between 50 and 500 GB of data. Accumulated over years, this data is kept on an in-lab NAS or an external disk. It often uses the device manufacturer's proprietary format.

Digital library collections: Scanned manuscripts, digitized periodicals, and institutional open-access repositories (DSpace, EPrints). This content is usually hosted on separate servers and is unique from a copyright standpoint.

Moodle, distance learning, and LMS: Remote education platforms that became institutionalized after the pandemic. They contain course materials, assignment submissions, exam answers, and forum discussions.

MS Teams and Zoom lecture recordings: With the hybrid education era, lecture recordings became part of the institutional archive. Although they are usually kept in the cloud, local copies accumulate on disks.

Each of these assets requires a different storage medium, a different file system, and a different recovery approach. There is no one-size-fits-all solution.

Mapping Digital Assets at a School

In K12 schools, the volume of data is lower than at a university, but the sensitivity is just as high, because school data belongs to minors.

e-Okul synchronization: The central system operated by the Ministry of National Education (e-Okul) holds student enrollment, grade, absence, and exam result records. Local copies are created on the principal's office and teachers' computers. When sync problems occur, the loss of local records turns into parent complaints.

In-class records: Local recordings on smartboards, teachers' exam archives, and project files.

Parent information: Phone numbers, contact details, health reports, and food allergy notes. This may contain special categories of personal data under the KVKK.

Exam results and report cards: General performance reports, guidance records, and IEP (Individualized Education Plan) files.

When a school secretary's computer crashes, it directly affects the end-of-term report card distribution schedule. For this reason, school cases come with intense pressure: what do we tell the parents tomorrow?

The Most Common Case: The Final Week Before Thesis Submission

For years, the most frequently recurring scenario in this sector has been this: a graduate student is about to finish their thesis. The defense date is set. They open their computer to make final revisions, and the disk is no longer visible. The SSD has suffered an electronic failure, or the HDD is making the classic clicking sound. The data loss is not just the thesis file: it includes the reference manager's database (Zotero, Mendeley, EndNote), analysis scripts (R, Python, SPSS, MATLAB), the raw data set, survey files, and chart sources.

In these cases, recovery has two critical dimensions: timing and data consistency. The thesis text may be a single file, but for the analyses to be reproducible, the raw data and scripts must be recovered together. On SSDs, if TRIM is enabled, deleted data may already be unrecoverable; and if there is a physical failure on top of that, the device requires a cleanroom. If an HDD has a head crash or a stuck motor, an HSA transfer is performed using a donor device.

The YOK National Thesis Center (tez.yok.gov.tr) has mandatorily archived all defended graduate theses since 2003. But the working text that has not yet been defended, and not yet turned into a PDF, is not in that archive. That is why a last-stage data loss means a direct recovery case. For technical detail specific to SSDs, the T2 and Apple Silicon sections of our MacBook data recovery article map exactly onto the scenario of many graduate users.

Research Laboratory Data: Expensive Data Accumulated Over Years

It is hard to measure the value of data produced in a research laboratory in money. A genome sequencing study, together with instrument usage fees, can run into hundreds of thousands of liras. Reproducing it is sometimes not even possible, because the sample (human tissue, a rare plant, historical material) is a one-time thing.

Typical laboratory data environments:

• Genome and transcriptome studies: Illumina, MGI, and Oxford Nanopore outputs. FASTQ, BAM, and VCF files. A single run can exceed 200 GB.
• Imaging: Confocal, electron microscope, and MRI image sets. Device-manufacturer-formatted files (LIF, CZI, DICOM).
• Physics and engineering experiments: Oscilloscope logs, LabVIEW data streams, and raw samples generated by FPGAs.

This data is usually kept on an in-lab NAS, a research server, or multiple external disks. A RAID 5 or RAID 6 configuration is often used. When the RAID fails, the data structure cannot be read with standard recovery tools; the stripe size used by the manufacturer, the parity distribution, and the controller version all matter. In our RAID 5 failure recovery process article, we detail how we proceed in RAID collapses. For university research server cases, this article is a direct reference.

Format-induced data loss is also common in the lab. A technician may select the wrong disk, a device may reset, or the file system (ext4, XFS, NTFS) may be damaged. To understand the chances of recovery after a format, our Is data recoverable after a format article is a meaningful read for image-heavy labs, since image files are usually predominant.

The KVKK Framework: Student and Academic Data

Education data creates special situations under the KVKK in three main areas.

KVKK art. 6, special categories of personal data: Student health reports, IEP files, disability status, chronic illness declarations, and religious records (such as requests for exemption from mandatory religion classes) are considered special categories of data. Processing and storing this data requires additional security measures. When it is taken outside the institution (for example, when an external data recovery service is engaged), explicit consent or a legal exemption basis must be clarified.

KVKK art. 28, research exemption: Certain exemptions are defined for scientific research data processed for anonymized or statistical purposes. However, if the data is in its raw form during recovery and contains identifying information, the scope of the exemption becomes debatable. On this matter, written clarification must be made with the institutional Data Controller Contact Person before signing a data recovery agreement.

Data controller responsibility: The university and the school are obliged to take data security measures under KVKK art. 12. The data recovery process is a personal data processing activity; a KVKK-compliant agreement is signed with the data recovery firm as the data processor, processing records are kept, and a deletion/destruction report is issued at the end of the process. At DSET, a written data processing agreement and an end-of-process destruction report are standard in all institutional cases. For comprehensive information, see our KVKK compliance consultancy article.

Key reference points for the regulatory framework: the official site of the KVKK Authority, YOK regulations and faculty disciplinary rules, and the MEB e-Okul operating rules.

Forensic Standard: ISO/IEC 27037 and TR-DSS

When there are academic plagiarism lawsuits, disciplinary investigations, or research ethics reviews, the output of the data recovery may need to carry evidentiary value. In that case, the ISO/IEC 27037 standard (Identification, collection, acquisition, and preservation of digital evidence) is taken as a reference. Hash verification (SHA-256), chain of custody, written process logs, and working on a read-only copy are all carried out in line with this standard.

For signed reporting, a qualified electronic signature is used in Turkey. DSET technical reports are signed with a KamuSM qualified-certificate e-signature; when needed, they can be submitted in legal proceedings. The TR-DSS e-Signature infrastructure is a fundamental tool in this process. In addition, the cybersecurity guides published by TUBITAK BILGEM are an essential resource for university IT managers.

Backup Strategy: 3-2-1 for the Academic Environment

The approach we recommend to educational institutions is an academically tailored version of the classic 3-2-1 rule:

• 3 copies: A working copy (personal device), an institutional copy (IT Department backup area), and a library long-term archive copy.
• 2 different media: SSD/HDD and LTO tape or cold storage (an immutable object storage bucket).
• 1 copy off-site: An off-campus data center or a backup in a different city for disaster scenarios.

At universities, a special point of coordination is the library long-term archive. Under open-access policy, the library stores accepted theses and data sets on platforms such as DSpace. This provides an additional layer of protection beyond the institutional backup. As theses and data sets are produced, uploading them to the library's institutional repository both strengthens the basis for the KVKK art. 28 research exemption and increases the chances of recovery after a technical disaster.

Additional practical recommendations for academics:

1. Keep working files synced to OneDrive, Google Drive, or an institutional cloud share (the first line of defense against a personal device failure).
2. Use version control (Git, Zotero sync, Overleaf cloud).
3. Make a manual copy to an external disk every weekend.
4. Check SMART data once a month for SSD lifespan (Linux: smartctl -a /dev/sda).
5. If encryption is enabled (FileVault, BitLocker), keep the recovery key in an institutional safe. A lost recovery key makes it impossible to extract data even from a physically intact disk.

Case Workflow: What Happens When a Request Comes In

When a university or school applies through an institutional channel, the typical workflow we follow is this:

1. Preliminary discussion and data controller clarification: On whose behalf will the data be processed, who is the party to the agreement, and which legislative exemption applies.
2. Device intake and chain of custody: Serial number, hardware identity, photographs of physical condition, and an intake report.
3. Preliminary analysis: SMART reading, file-system metadata scanning, and failure-type identification. At this stage, the chances of recovery and a cost estimate become clear.
4. Cloning: A bit-for-bit copy using a read-only write-blocker. All work is done on the copy; the original device is not touched.
5. Logical or physical recovery: File-system repair, RAID reconstruction, or physical intervention (head transfer, NAND reading).
6. Verification: Hash checking, file-opening tests, and priority verification of critical files (the thesis PDF, the data set table).
7. Delivery: An encrypted delivery disk, a technical report, and a destruction report.

Throughout the process, we take the pressure of the academic calendar into account. If the defense date is near, we prioritize: the critical thesis text is delivered within the first day, while the raw data and analysis files follow in the days after.

Hacettepe Teknokent Location and Academic Proximity

The DSET office is located inside Hacettepe University Teknokent. For us, this is not just an address; the Hacettepe Beytepe and Sihhiye campuses, METU, Bilkent, TOBB ETU, Ankara University, and Gazi, all major research universities, are within walking distance or a short drive. Graduate students, academics, and lab managers can bring their devices in person and learn the preliminary analysis result the same day. For cases coming from outside the city, we coordinate the shipping logistics ourselves. For our general service scope focused on Ankara, see our Ankara data recovery, Hacettepe Teknokent article.

Academic Discount Policy

At DSET, we have a clear discount policy for students and academics. Those who apply with a graduate student ID or a faculty institution document are charged a discounted academic rate instead of the institutional rate. This discount is especially meaningful for master's and doctoral students at the thesis stage, because a one-time personal data recovery cost can be a significant line item for a student. The academic discount rate and conditions are clearly stated during the phone call; there are no hidden fees or surprises at the end of the process.

Conclusion and Contact

Education is the sector where digital data touches academic careers, legal responsibility, and the transfer of knowledge between generations most directly. The loss of a thesis is the loss of years of research; the loss of a school's parent records shakes institutional trust. For this reason, we approach data recovery not just as a technical job, but within the framework of academic ethics and KVKK compliance.

If you have encountered a situation such as a thesis disk failure, a research laboratory RAID collapse, an SIS database loss, an e-Okul sync problem, or a Moodle server error, reach out to us without powering the device on again and again. Every power cycle reduces the chances of recovery.

DSET Data Recovery Hacettepe Teknokent, Ankara Discounted academic rate for students and academics Phone: +90 536 662 38 09